ai writing master thesis

AI For Dissertation: Best AI Tools For Masters & PhD Thesis Writing

Writing a dissertation can be a daunting task for master’s and PhD students, but AI tools are transforming this challenging process.

From generating detailed mind maps to providing accurate citations and real-time research insights, AI-powered writing assistants streamline every aspect of thesis writing.

In this article, we explore the best AI tools available, highlighting how they can:

• enhance your academic writing,
• simplify complex tasks, and
• help produce high-quality, well-structured content.

Best AI Tools For Masters & PhD Thesis Writing

Heuristi.ca – Mind Map Maker

Heuristi.ca is an AI-powered writing tool designed to streamline your dissertation writing process.

This AI tool helps you write your thesis or research paper by creating detailed mind maps tailored to academic writing.

You input a topic, like “organic photovoltaics,” and the AI generates related concepts and real-time insights. This assists in organising your literature review and structuring your academic writing.

The AI assistant ensures coherence by connecting related ideas, making writing more manageable and efficient. It helps avoid plagiarism by providing original content and AI-driven citation suggestions. 

By automating and streamlining aspects of the writing process, Heuristi.ca helps you meet deadlines and maintain academic standards.

Open Read – Generate Summaries 

Open Read is an AI-powered writing tool designed to enhance your thesis writing process. With Open Read, you can upload research papers and receive AI-generated summaries, making literature reviews more manageable.

The tool offers real-time features like paper Q&A and AI summaries, which streamline your academic writing tasks.

For example, you can upload a PDF and get a concise summary, along with detailed insights into the paper’s background and significance.

This AI tool helps you write your dissertation by breaking down complex information into bite-sized chunks, saving you time and effort.

Open Read also helps ensure academic integrity by providing accurate citations and checking for plagiarism. 

Explain Paper

Explain Paper is an AI tool that simplifies the academic writing process.E xplain Paper supports dissertation writing by making research more digestible and manageable. 

To use Explain Paper, simply:

• upload a research paper,
• select the text you want to understand, and
• choose an explanation level. 

The AI provides clear explanations tailored to different educational levels, making complex research accessible. 

You can select a dense paragraph and have it explained as if to a middle schooler or a college student. This helps in breaking down intricate concepts, streamlining your literature review.

The tool also ensures your writing adheres to academic standards by providing coherent summaries and related resources.

Paper Brain

Paper Brain is an AI tool designed to streamline your academic writing process. You upload a research paper, and the AI analyzes and generates concise summaries, making it easier to grasp complex topics.

This AI-powered assistant helps you write your dissertation by providing clear and concise explanations, ensuring coherence and adherence to academic standards.

You can upload a paper on graphene thickness measurement, and Paper Brain will summarise its key points and answer specific questions about the research.

This tool is invaluable for literature reviews, as it simplifies the extraction of relevant information. Graduate students writing a thesis can benefit from Paper Brain’s AI technology, which makes writing tasks more manageable and efficient. 

Einblick is an AI-powered writing tool that simplifies data visualisation for your dissertation or thesis.

Einblick can analyze and present data coherently, helping you write your dissertation with accurate, well-organized charts and graphs.

This tool is simple to use – you upload your dataset, describe the chart you need, and Einblick generates it.

This tool helps you visualise complex data quickly and efficiently, which is crucial for academic writing and literature reviews.

Let’s say if you need a scatterplot of N2O versus CH4 emissions. Einblick creates it in seconds. This AI assistant streamlines the thesis writing process by providing clear, tailored visual aids, ensuring your research paper meets academic standards.

Tavily is an AI-powered research assistant designed to streamline your dissertation writing process. You simply input your research topic, and Tavily creates an AI agent that scours the internet for relevant information.

This AI tool ensures that the data you receive is accurate and up-to-date, helping you write your dissertation or thesis with confidence.

If you’re researching organic photovoltaic devices, Tavily will provide:

• detailed summaries,
• key findings, and
• relevant sources.

This AI writing assistant makes the literature review process more manageable by automating and streamlining the search for academic papers.

It also offers tailored content that adheres to academic standards, ensuring coherence and quality in your writing.

Graduate students find Tavily invaluable for meeting deadlines and enhancing academic writing skills. The tool’s ability to analyse and synthesise vast amounts of data in real-time allows you to focus on the writing process. 

Using AI technology, Tavily helps you achieve academic success by providing a solid foundation for your thesis or dissertation.

Power Drill

Power Drill is an AI-powered writing tool designed to assist you in the dissertation writing process. To use Power Drill, you start by uploading your data sets, which can be:

• web pages, or
• files. 

The AI then analyses these data sources, providing insightful summaries and answers to specific questions.

This helps streamline the research and writing process, making it easier to organize your thoughts and structure your thesis.

You can upload a research paper, and Power Drill will highlight key points and generate concise summaries. This AI tool helps you write your dissertation by breaking down complex information into manageable parts, saving you time and effort.

Graduate students find Power Drill particularly helpful for meeting deadlines and adhering to academic standards.

The tool ensures coherence in your writing by offering accurate citations and reducing the risk of plagiarism.

Power Drill can also scan vast databases and provide real-time insights, helping you achieve academic success and write a compelling thesis or dissertation.

SciSpace is an AI-powered writing tool designed to simplify the academic writing process for dissertations and theses.

You upload your research papers, and SciSpace provides detailed summaries and key insights, making literature reviews more manageable. This AI tool uses natural language processing to extract essential information, helping you organise and streamline your writing tasks.

When you upload a PDF, SciSpace offers a concise “too long; didn’t read” summary, highlighting conclusions and significant points.

This is especially useful for graduate students who need to write their dissertation or thesis efficiently.

SciSpace also includes an AI writing assistant, which helps ensure coherence and adherence to academic standards by generating accurate citations and checking for plagiarism.

Using AI technology, SciSpace can analyze vast databases and provide real-time insights, making your writing process more manageable.

This tool helps you meet deadlines and achieve academic success by automating and streamlining various aspects of academic writing, ultimately supporting you in creating well-structured and high-quality written content.

Next Net – For Drug & Health Research

Next Net is an AI-powered tool tailored for those in the drug and health research fields. This AI assistant helps you write your dissertation or thesis by providing comprehensive, real-time searches of the latest literature and research data.

You input your query, and Next Net uses advanced AI technology to scan vast databases for relevant information.

For example, if you’re researching new drugs, Next Net offers detailed insights into recent developments, gene expressions, and clinical trials.

This AI tool streamlines the literature review process by organizing complex data into manageable, easy-to-understand summaries.

Graduate students find Next Net invaluable for its ability to generate accurate citations and ensure academic integrity.

Next Net’s AI-driven approach makes writing a thesis more efficient, allowing you to focus on creating well-structured, high-quality content. This AI tool is essential for achieving academic success in the health research domain.

Chat GPT, Perplexity, Bing

ChatGPT , Perplexity, and Bing are AI-powered writing tools that significantly enhance the academic writing process. Each tool leverages artificial intelligence to assist with various aspects of dissertation and thesis writing.

ChatGPT uses advanced natural language processing to generate coherent, detailed responses to research queries. You can ask it to help:

• outline your thesis,
• draft sections of your dissertation, or
• provide insights on complex topics.

It’s particularly useful for brainstorming and refining ideas, making writing tasks more manageable. You can also create templates to help you generate texts faster.

Perplexity , another AI tool, excels at providing real-time, accurate references for your research paper. By asking Perplexity detailed questions, you get precise, sourced answers that streamline your literature review. 

Bing, integrated with AI, offers a balanced approach to research. You can specify the type of response you need—creative, balanced, or precise—making it a versatile assistant for academic writing.

Bing’s AI can scan vast databases to find relevant information, helping you write your dissertation or thesis with comprehensive, up-to-date data.

By automating and streamlining the writing process, ChatGPT, Perplexity, and Bing help you achieve academic success with well-researched and well-written content.

AI Tools For Thesis and Dissertation Writing

From Heuristi.ca’s mind mapping to ChatGPT’s brainstorming capabilities, these AI-powered assistants streamline literature reviews, ensure academic standards, and provide accurate citations.

Tools like Open Read and Explain Paper simplify complex concepts, while Einblick and Next Net offer data visualization and real-time research insights.

By leveraging these AI tools, graduate students can enhance their academic writing skills, meet deadlines, and achieve academic success efficiently.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

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AI for thesis writing — Unveiling 7 best AI tools

Table of Contents

Writing a thesis is akin to piecing together a complex puzzle. Each research paper, every data point, and all the hours spent reading and analyzing contribute to this monumental task.

For many students, this journey is a relentless pursuit of knowledge, often marked by sleepless nights and tight deadlines.

Here, the potential of AI for writing a thesis or research papers becomes clear: artificial intelligence can step in, not to take over but to assist and guide.

Far from being just a trendy term, AI is revolutionizing academic research, offering tools that can make the task of thesis writing more manageable, more precise, and a little less overwhelming.

In this article, we’ll discuss the impact of AI on academic writing process, and articulate the best AI tools for thesis writing to enhance your thesis writing process.

The Impact of AI on Thesis Writing

Artificial Intelligence offers a supportive hand in thesis writing, adeptly navigating vast datasets, suggesting enhancements in writing, and refining the narrative.

With the integration of AI writing assistant, instead of requiring you to manually sift through endless articles, AI tools can spotlight the most pertinent pieces in mere moments. Need clarity or the right phrasing? AI-driven writing assistants are there, offering real-time feedback, ensuring your work is both articulative  and academically sound.

AI tools for thesis writing harness Natural Language Processing (NLP) to generate content, check grammar, and assist in literature reviews. Simultaneously, Machine Learning (ML) techniques enable data analysis, provide personalized research recommendations, and aid in proper citation.

And for the detailed tasks of academic formatting and referencing? AI streamlines it all, ensuring your thesis meets the highest academic standards.

However, understanding AI's role is pivotal. It's a supportive tool, not the primary author. Your thesis remains a testament to your unique perspective and voice.

AI for writing thesis is there to amplify that voice, ensuring it's heard clearly and effectively.

How AI tools supplement your thesis writing

AI tools have emerged as invaluable allies for scholars. With just a few clicks, these advanced platforms can streamline various aspects of thesis writing, from data analysis to literature review.

Let's explore how an AI tool can supplement and transform your thesis writing style and process.

Efficient literature review : AI tools can quickly scan and summarize vast amounts of literature, making the process of literature review more efficient. Instead of spending countless hours reading through papers, researchers can get concise summaries and insights, allowing them  to focus on relevant content.

Enhanced data analysis : AI algorithms can process and analyze large datasets with ease, identifying patterns, trends, and correlations that might be difficult or time-consuming for humans to detect. This capability is especially valuable in fields with massive datasets, like genomics or social sciences.

Improved writing quality : AI-powered writing assistants can provide real-time feedback on grammar, style, and coherence. They can suggest improvements, ensuring that the final draft of a research paper or thesis is of high quality.

Plagiarism detection : AI tools can scan vast databases of academic content to ensure that a researcher's work is original and free from unintentional plagiarism .

Automated citations : Managing and formatting citations is a tedious aspect of academic writing. AI citation generators  can automatically format citations according to specific journal or conference standards, reducing the chances of errors.

Personalized research recommendations : AI tools can analyze a researcher's past work and reading habits to recommend relevant papers and articles, ensuring that they stay updated with the latest in their field.

Interactive data visualization : AI can assist in creating dynamic and interactive visualizations, making it easier for researchers to present their findings in a more engaging manner.

Top 7 AI Tools for Thesis Writing

The academic field is brimming with AI tools tailored for academic paper writing. Here's a glimpse into some of the most popular and effective ones.

Here we'll talk about some of the best ai writing tools, expanding on their major uses, benefits, and reasons to consider them.

If you've ever been bogged down by the minutiae of formatting or are unsure about specific academic standards, Typeset is a lifesaver.

Typeset specializes in formatting, ensuring academic papers align with various journal and conference standards.

It automates the intricate process of academic formatting, saving you from the manual hassle and potential errors, inflating your writing experience.

An AI-driven writing assistant, Wisio elevates the quality of your thesis content. It goes beyond grammar checks, offering style suggestions tailored to academic writing.

This ensures your thesis is both grammatically correct and maintains a scholarly tone. For moments of doubt or when maintaining a consistent style becomes challenging, Wisio acts as your personal editor, providing real-time feedback.

Known for its ability to generate and refine thesis content using AI algorithms, Texti ensures logical and coherent content flow according to the academic guidelines.

When faced with writer's block or a blank page, Texti can jumpstart your thesis writing process, aiding in drafting or refining content.

JustDone is an AI for thesis writing and content creation. It offers a straightforward three-step process for generating content, from choosing a template to customizing details and enjoying the final output.

JustDone AI can generate thesis drafts based on the input provided by you. This can be particularly useful for getting started or overcoming writer's block.

This platform can refine and enhance the editing process, ensuring it aligns with academic standards and is free from common errors. Moreover, it can process and analyze data, helping researchers identify patterns, trends, and insights that might be crucial for their thesis.

Tailored for academic writing, Writefull offers style suggestions to ensure your content maintains a scholarly tone.

This AI for thesis writing provides feedback on your language use, suggesting improvements in grammar, vocabulary, and structure . Moreover, it compares your written content against a vast database of academic texts. This helps in ensuring that your writing is in line with academic standards.

Isaac Editor

For those seeking an all-in-one solution for writing, editing, and refining, Isaac Editor offers a comprehensive platform.

Combining traditional text editor features with AI, Isaac Editor streamlines the writing process. It's an all-in-one solution for writing, editing, and refining, ensuring your content is of the highest quality.

PaperPal , an AI-powered personal writing assistant, enhances academic writing skills, particularly for PhD thesis writing and English editing.

This AI for thesis writing offers comprehensive grammar, spelling, punctuation, and readability suggestions, along with detailed English writing tips.

It offers grammar checks, providing insights on rephrasing sentences, improving article structure, and other edits to refine academic writing.

The platform also offers tools like "Paperpal for Word" and "Paperpal for Web" to provide real-time editing suggestions, and "Paperpal for Manuscript" for a thorough check of completed articles or theses.

Is it ethical to use AI for thesis writing?

The AI for writing thesis has ignited discussions on authenticity. While AI tools offer unparalleled assistance, it's vital to maintain originality and not become overly reliant. Research thrives on unique contributions, and AI should be a supportive tool, not a replacement.

The key question: Can a thesis, significantly aided by AI, still be viewed as an original piece of work?

AI tools can simplify research, offer grammar corrections, and even produce content. However, there's a fine line between using AI as a helpful tool and becoming overly dependent on it.

In essence, while AI offers numerous advantages for thesis writing, it's crucial to use it judiciously. AI should complement human effort, not replace it. The challenge is to strike the right balance, ensuring genuine research contributions while leveraging AI's capabilities.

Wrapping Up

Nowadays, it's evident that AI tools are not just fleeting trends but pivotal game-changers.

They're reshaping how we approach, structure, and refine our theses, making the process more efficient and the output more impactful. But amidst this technological revolution, it's essential to remember the heart of any thesis: the researcher's unique voice and perspective .

AI tools are here to amplify that voice, not overshadow it. They're guiding you through the vast sea of information, ensuring our research stands out and resonates.

Try these tools out and let us know what worked for you the best.

Love using SciSpace tools? Enjoy discounts! Use SR40 (40% off yearly) and SR20 (20% off monthly). Claim yours here 👉 SciSpace Premium

Frequently Asked Questions

Yes, you can use AI to assist in writing your thesis. AI tools can help streamline various aspects of the writing process, such as data analysis, literature review, grammar checks, and content refinement.

However, it's essential to use AI as a supportive tool and not a replacement for original research and critical thinking. Your thesis should reflect your unique perspective and voice.

Yes, there are AI tools designed to assist in writing research papers. These tools can generate content, suggest improvements, help with formatting, and even provide real-time feedback on grammar and coherence.

Examples include Typeset, JustDone, Writefull, and Texti. However, while they can aid the process, the primary research, analysis, and conclusions should come from the researcher.

The "best" AI for writing papers depends on your specific needs. For content generation and refinement, Texti is a strong contender.

For grammar checks and style suggestions tailored to academic writing, Writefull is highly recommended. JustDone offers a user-friendly interface for content creation. It's advisable to explore different tools and choose one that aligns with your requirements.

To use AI for writing your thesis:

1. Identify the areas where you need assistance, such as literature review, data analysis, content generation, or grammar checks.

2. Choose an AI tool tailored for academic writing, like Typeset, JustDone, Texti, or Writefull.

3. Integrate the tool into your writing process. This could mean using it as a browser extension, a standalone application, or a plugin for your word processor.

4. As you write or review content, use the AI tool for real-time feedback, suggestions, or content generation.

5. Always review and critically assess the suggestions or content provided by the AI to ensure it aligns with your research goals and maintains academic integrity.

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What is a thesis | A Complete Guide with Examples

The 11 best AI tools for academic writing

By leveraging the power of the right AI tool, you can significantly improve the clarity, efficiency, and overall quality of your academic writing. In this guide, we reviewed and ranked 11 popular AI tools for academic writing , along with our top 3 choices, so that you can pick the best one.

Disclosure: This post contains affiliate links, which means I may earn a small commission if you make a purchase using the links below at  no additional cost to you.

What are the best AI tools for academic writing?

However, not all tools are created equal! And with the influx of options, it’s important for academics to discern between the high-quality ones and the mediocre ones that can hinder efficiency rather than enhance it.

Furthermore, the optional functions were compared to their respective prices to ensure a fair pricing structure. AI support for academic writing should be affordable and not strain your budget.

Here are Master Academia’s top picks for the best AI tools for academic writing in 2023:

Trinka is a unique AI-powered writing tool designed specifically for academic and technical writing.

In addition to these advanced writing enhancements, Trinka offers a range of additional features. It includes consistency checking to maintain a coherent writing style, publication readiness checks to prepare your work for submission, plagiarism checking to ensure originality, and a citation analyzer to assess the quality and relevance of your citations.

Key Features:

You can use the basic version of Trinka for free, which includes access to all features but with a monthly word limit of 5000 words. The pricing for Trinka’s premium plan starts at $6.67 per month with annual billing, which is extremely affordable.

As a comprehensive tool designed for academics, Genei goes beyond assisting with workflow organization and document storage—it also offers a plethora of features tailored specifically for academic writing.

For those heavily reliant on literature reviews in their academic writing, Genei proves to be a gamechanger.

Genei offers two pricing structures, one for professionals and another for academics.

3. Quil lBot

QuillBot’s online paraphraser allows you to modify the meaning of any text using a variety of options. It offers two free modes and five premium modes, allowing you to control the level of vocabulary change.

The free plan of QuillBot allows paraphrasing of up to 125 words and summarizing of up to 1200 words at a time, but excludes advanced features like advanced grammar rewrites, comparing paraphrasing options, and the plagiarism checker.

4. Writefull

Writefull is a powerful editing tool designed for individuals who struggle with writer’s block and prefer to revise and edit existing text rather than creating it from scratch.

5. Grammarly

Grammarly stands out among other AI tools by having a widespread and popular institutional license, which universities readily embrace.

The premium plan may seem expensive at $30 per month, but with the annual savings of 60%, it becomes much more affordable at $12 per month.

6. Wordtune

Although Wordtune excels in paraphrasing, providing synonym recommendations and an integrated plagiarism check for seamless usage, it is important to note that its focus is not primarily on academic writing, which influences the training of the system.

Wordtune offers a free version with limited features, while the premium version is priced at $24.99 per month. However, users can benefit from a significant 60% discount when opting for an annual subscription: With an annual subscription, the premium version of Wordtune is available at a reduced rate of $9.99 per month.

7. Paperpal

Available as Paperpal for Word, Web, and Manuscript, this comprehensive tool also checks for structural and technical inconsistencies in your writing.

8. Sourcely

Simply input your essay title or text, and Sourcely finds suitable sources to enhance your work.

With the convenience of a browser extension, Rytr saves time and ensures your copy is top-notch especially for emails, social media posts, or blogs.

10. Writesonic

Upon generating a paragraph, Writesonic provides three different versions for you to choose from. It allows you to select the best option or make edits and revisions using the various variations.

11. TextCortex

With the free version of TextCortex, you have the ability to create up to 10 pieces per day. For enhanced features and unlimited usage, the Pro version is available at a price of $19.99.

Summary and Top Picks

Master academia, get new content delivered directly to your inbox, how to benefit from chatgpt as an academic, 38 common academic job interview questions (+ powerful answers), related articles, how to address data privacy and confidentiality concerns of ai in research, 10 powerful methodology courses for phd students [online], 25 short graduation quotes: inspiration in four words or less, the best ai tools for academic paraphrasing: tested and ranked.

+9 Best AI Tools For Thesis Writing in 2024

• June 5, 2024 Updated

Writing a thesis can be one of the most daunting tasks in academia. As a thesis writing freelancer with years of experience working across America, I’ve navigated the complexities of research, organization, and the dreaded writer’s block.

Over the years, I’ve discovered that AI writing tools can be lifesavers, helping to streamline the writing process, enhance productivity , and improve the quality of work . Today, we’ll explore the best AI tools for thesis writing in 2024 to see which can make a difference. Thesis writing demands precision , extensive research , and a well-structured argument . AI writing tools can assist in various stages of this process, from brainstorming and organizing ideas to editing and ensuring academic rigor .

Let’s dive into the best AI writing tools for 2024 that can aid in thesis writing:

Best AI Tools For Thesis Writing in 2024: Quick Comparison

Choosing the best AI tools for 2024 is crucial for achieving optimal results. Here are some essential factors to consider, elaborated to help you make an informed decision:

Best AI Tools for Thesis Writing in 2024: In-Depth Analysis

Discover the best AI writing tools designed to assist in crafting your thesis. My in-depth analysis includes information about all the best AI tools for thesis writing in 2024 content creation that can enhance research, writing, and editing, ensuring your academic success.

1. Rytr – Best for Plagiarism Checking and Coherence Checking

Rytr distinguishes itself as a versatile and powerful AI writing tool , positioning itself best for plagiarism and coherence checking . Its multifunctional features, from extensive language support to a built-in plagiarism checker , make it an essential asset for those who write academic letters and theses.

Rytr excels in quick content generation, making it one of the best AI tools for writing thesis. Its intuitive design with various tone and style options has significantly facilitated my content creation and editing processes. Whether I’m drafting a complex introduction or fine-tuning a conclusion, Rytr’s features have proven invaluable for a wide range of academic needs.

With over 40+ templates and support for 35+ languages , Rytr is well-equipped to handle diverse thesis writing needs. The tool includes a plagiarism checker with a limit of 0-100 checks per month , crucial for academic integrity, and a grammar check feature to ensure linguistic accuracy.

One of the standout features for me has been the brand voice options. With 20+ pre-programmed voices and the ability to input custom voices , all powered by a GPT-3 language AI engine , Rytr allows for nuanced and tailored academic writing . This versatility has helped me match various academic disciplines’ required tone and style.

Rytr’s AI Paragraph Generator is another key feature that I’ve found incredibly useful. It helps create relevant text segments, enhancing my thesis’s structural coherence and depth. Additionally, the capability to write in over 35 languages opens up avenues for international research and facilitates cross-cultural studies.

The platform’s AI-generated image functionality , which allows up to 100 images per month , adds a valuable visual dimension to my thesis, making it more engaging and illustrative. The built-in plagiarism checker ensures that the originality of my thesis is maintained, which is a cornerstone of academic integrity.

Integration features are robust, including a Google Chrome extension , Google Sheets, Slack, Asana, Whatsapp, Google Docs, Google Ideas, and Gmail . The built-in plagiarism checker ensures that the originality of my thesis is maintained, which is a cornerstone of academic integrity.

Overall, Rytr has transformed my thesis writing process, making it more efficient, accurate, and enjoyable. If you’re considering an AI writing tool for your thesis, Rytr is worth trying.

• A large character limit supports extensive thesis projects.
• Multilingual capabilities cater to international research.
• Variety of tones for diverse writing requirements.
• Plagiarism checker upholds academic integrity.
• AI-generated images add a visual dimension to thesis work.
• A high character limit might encourage over-reliance on AI.
• Managing multiple languages and tones can be complex.
• The plagiarism checker’s effectiveness usually varies.
• AI-generated images are not always contextually accurate.
• Balancing text and image content could be challenging for some thesis formats.

Pricing and Free Trial

Pricing starts from a free plan to US$ 9/month, with word count options stretching from 10K to unlimited , accommodating extensive research documents. Rytr doesn’t specify the number of seats, indicating flexible user access.

The pricing plans of Rytr include;

• Free Plan: No cost, includes basic features.
• U nlimited Plan: Priced at US$ 9 monthly, or opt for an annual subscription at $90, which effectively grants two months free.
• Premium Plan: Available for $29 each month ($290 annually), incorporating 2 free months .

Refund Policy and Customer Support

• Rytr does offer a not provide refunds for their paid subscriptions.
• For assistance, Rytr’s customer support is available 24/7 through email and chat support.

For a deeper dive into its features and benefits, check out my detailed Rytr review .

2. Scalenut – Best for Thesis Creation and Mass Content Production

Scalenut emerges as a potent AI writing assistant known best for thesis creation and mass content production . Its advanced features make it an indispensable tool for academic researchers aiming to optimize their writing process .

Scalenut is a cutting-edge AI-powered writing assistant tailored for thesis writing and academic content creation. This platform is ideal for researchers and students, providing a spectrum from 100000 AI words to an unlimited quota, supporting extensive research and writing endeavors.

The service enables collaboration for up to 2 users on its top-tier plan and offers an extensive array of templates, beneficial for structuring academic papers or theses. While primarily focusing on English , Scalenut allows customization of the brand voice, aligning with the formal tone required in academic writing.

Key features include the Thesis Optimizer , enhancing thesis-related blogs for better readability and engagement, and Cruise Mode , which automates various writing tasks, allowing researchers to concentrate on content quality. The Brand Tone feature ensures a consistent and professional voice across academic communications.

Scalenut’s Auto-Optimization for Thesis boosts SEO potential for academic content, expanding its reach. The platform’s integration with tools like WordPress Publisher, Semrush, Keyword Researcher, and Copyscape enhances its functionality, ensuring content originality and effective SEO.

Offering unlimited AI-generated words , Scalenut provides ample scope for comprehensive thesis writing. However, potential users should note the platform’s data-sharing practices and the non-refundable nature of its subscriptions.

So, if you’re looking for a reliable AI writing assistant for academic content, Scalenut is worth considering. For more insights, check out my detailed Scalenut review .

• Efficient topic planning with a keyword planner.
• Enhances readability and engagement of academic thesis blogs.
• Automated writing features save time and effort.
• Consistent brand tone across academic content.
• SEO optimization expands the reach of thesis work.
• SEO focus will divert from the purely academic writing style.
• Unlimited AI words might encourage over-reliance on AI.
• Cruise mode will reduce hands-on writing practice.
• The keyword cluster’s focus will not align with all academic research themes.
• The cap of 75 articles might limit extensive research projects.
• Essential Plan: Ideal for solo content creators and consultants, the Essential Plan focuses on AI-driven content enhancement and SEO optimization. It is priced at US$ 39/month (monthly) and $17/month (annually).
• Growth Plan: Designed for startups and growing businesses, this plan expands on content creation and analytical tools. Priced at $79/month (monthly), $35/month (annually). 7-day trial included.
• Pro Plan: Tailored for larger teams and agencies requiring comprehensive content tools. Priced at $149/month (monthly), $67/month (annually). A 7-day trial is offered.
• Enterprise Plan: Customized for major organizations with specific content and SEO needs. The price will depend on your needs.
• On their paid plans no refunds will be provided from Scalenut.
• Their customer support team is available 24/7 via Live Chat or Email.

3. Jenni AI – Best for Creative Writing Solutions

Jenni AI is a specialized tool designed to assist with academic writing , enhancing productivity and creativity through features like AI autocomplete, in-text citations , and a suite of writing and research tools .

After thoroughly evaluating Jenni AI , I’ve uncovered its impressive capabilities tailored explicitly for academic writing . This tool is invaluable for American students and researchers , aiding in creating various academic documents such as essays and research papers .

One of Jenni AI’s standout features is its plagiarism checker , which ensures all content adheres to academic standards and maintains originality —essential for any scholarly work. Additionally, Jenni AI supports five languages , making it particularly useful for non-native American students or those working on multilingual subjects .

Jenni AI’s integration features are particularly noteworthy. It includes AI Autocomplete , in-text citations , paraphrasing and rewriting options , and the ability to generate content directly from uploaded files , greatly streamlining the academic writing process.

Overall, Jenni AI has proven to be an essential tool in my academic writing toolkit, enhancing efficiency and ensuring the highest standards of academic integrity. Its comprehensive features, including the robust plagiarism checker and multilingual support , make it a standout choice for any student or researcher studying in the US.

If you’re looking for a free AI thesis writer assistant, I highly recommend checking out my detailed Jenni AI review  to see how it can benefit your academic endeavors.

• Specialized for academic writing.
• Includes plagiarism checking.
• Supports five languages.
• Features multiple integration options.
• Affordable pricing plans.
• Daily word limit of 200+.
• Lacks grammar checking.
• No templates are available.
• No brand voice customization.
• No clear customer support or refund policy.

Here are the details of the Jenni AI pricing plans

Free Plan ($0/month):

• 200 AI words per day
• Unlimited PDF uploads
• AI Autocomplete
• Journal & web citations
• AI editing commands

Unlimited Plan ($20/month):

• Unlimited AI words
• Priority support
• Access to the latest features

Refund Policy and Customer Support:

• Subscriptions to Jenni AI are recurring, and you will be automatically billed until you choose to cancel.
• Payments for Jenni AI subscriptions and enterprise licenses are generally not refundable .
• If you believe your case warrants a refund due to a bug or error , Jenni AI requires a scheduled call with their support team to demonstrate the issue.
• You can contact Jenni AI for support or inquiries via email at [email protected] .

4. Jasper AI – Best for Thesis Writing In Multiple Languages

Jasper AI has rapidly become a go-to tool for academic writers in the USA, particularly known for its excellence in thesis writing across multiple languages. Its ability to handle diverse languages and maintain a consistent brand voice are just a few of the features that make it a valuable asset in the American academic toolkit.

Jasper AI is an AI writing assistant optimized for thesis writing, offering extensive prompts and the ability to customize the narrative voice, which is essential for crafting academic narratives. This tool supports over 30 languages , enhancing its utility for multilingual thesis research.

Thesis writers can utilize over 50 templates provided by Jasper AI, which aid in the organization and development of their thesis structure and arguments. A plagiarism checker and a grammar check tool ensure the thesis is original and linguistically sound.

A distinctive feature of Jasper AI is the selection of 1 to 3 brand voices , with an unlimited selection available in the Business plan, enabling a consistent and personalized academic tone.

Jasper AI’s integration with various tools and websites makes it a comprehensive resource for thesis writing. New users have access to a 7-day free trial to explore the tool’s features, and a 100% money-back guarantee within the first 7 days for a risk-free evaluation.

With a strong emphasis on data security and privacy, Jasper AI protects users’ academic work, establishing it as a trustworthy tool for thesis writers focused on data safety.

Overall, Jasper AI has cemented its place as an essential tool for academic writers in America. Its multi-language support and ability to maintain a consistent academic tone make it invaluable for thesis writing and other scholarly endeavors. For my hands-on experience, check out my detailed Jasper AI review .

• Multilingual support broadens research collaboration.
• Customizable brand voice for professional email communication as well as letter writing.
• Rephrase and rewrite features to improve content quality.
• Enterprise security protects sensitive research datasets.
• Data privacy ensures academic integrity.
• Limited to 5 seats, not ideal for larger teams.
• Multilingual support might not cover lesser-known languages.
• Rephrasing tools could limit the development of the original writing style.
• Focused more on business security than academic needs.
• It might require technical proficiency for advanced features.

With pricing starting from US$ 39 per month , Jasper AI is designed to serve individual researchers and small teams, accommodating 1 to 5 users, which can go unlimited in the Business plan .

The pricing plans are;

• Creator Plan: Available for US$ 39 per year or US$ 49 every month.
• Pro Plan: Offered at $69 per month or an annual rate of $59.
• Business Plan: Please contact the Jasper sales team for acquisition and pricing details.

Jasper provides a 7-day trial period at no cost.

• Jasper AI has a refund policy that allows for returns within 7 days of purchase.
• Their customer support is accessible around the clock 24/7 via Call or Email.

For a deeper dive into its features and benefits, check out my detailed Jasper AI review .

5. ProWritingAid – Best for Thesis Citation and Referencing

ProWritingAid is renowned for its comprehensive features that cater to the intricate demands of thesis writing, making it best for thesis citation and referencing. Its focus on advanced style improvements , extensive analysis , and customization options makes it a top choice for students and researchers striving for academic excellence.

ProWritingAid is an AI-enhanced writing tool optimized for thesis writing, offering advanced style improvements and customizable suggestions alongside 25+ writing analysis reports . The tool enhances the clarity, variety, and expression of thesis documents.

While specific user seats and templates are not applicable, ProWritingAid supports only English , focusing on delivering in-depth assistance for thesis writing in this language. It includes comprehensive plagiarism and grammar checks , essential for maintaining academic integrity and linguistic precision in thesis work.

ProWritingAid introduces up to 50 AI Sparks per day in its premium plans, stimulating new ideas and assisting in overcoming writer’s block, which is crucial for the originality and innovation required in thesis writing.

The tool integrates seamlessly with various platforms, including web browsers and Office applications , enhancing its utility across different writing environments. It ensures 100% data security and privacy , safeguarding the confidentiality of academic work.

Noteworthy features include a real-time checker, in-depth writing reports, readability assessments, passive voice detection , and more, equipping thesis writers with comprehensive tools to refine their work. The citation feature and terminology management further enhance the tool’s applicability for thesis writing, ensuring scholarly work is well-structured and adheres to academic standards.

Its robust capabilities, from style improvements to AI-driven idea generation, make it an indispensable resource for any academic writer in the USA.

• No word count limits support extensive thesis projects.
• Frequent rephrases enhance content quality, especially when writing novels.
• AI Sparks encourage daily writing innovation.
• Advanced style improvements ensure professional writing.
• Comprehensive analysis reports aid in content perfection.
• Unlimited features might overwhelm novice users.
• Daily AI Sparks limit might be restrictive for some.
• Managing a custom style guide requires extra effort.
• Author comparison is not always aligned with individual writing goals.
• One critique per day might not suffice for fast-paced projects.

The platform offers a range of pricing from free to $12 per month, with monthly, yearly, and lifetime plans available.

• Free Plan: A free plan available for unlimited time, offering a glimpse into the tool’s capabilities, with customer support accessible via Message on the website. It provides a 500-word limit for free users on plagiarism and grammar checks.
• Premium Plan: The Premium Plan is a $30 monthly subscription with an annual option of US$ 10 per month. This plan removes word count limits and offers unlimited reports and advanced features such as style guides, analysis reports, and collaborative tools.
• Premium Pro Plan: At $12 per month billed annually and $36 billed monthly, the Premium Pro Plan increases the daily alerts and critiques to provide intensive feedback for writers. This plan includes a money-back guarantee and is designed for those seeking extensive AI-powered writing assistance.
• For yearly or lifetime ProWritingAid plans, if you are unsatisfied, you can request a refund within 14 days of purchase.
• Monthly plan payments are non-refundable ; however, you can cancel future payments by disabling auto-renew in your user profile. Remember, cancellation does not automatically issue a refund; direct contact within the 14-day window is necessary.

6. TextCortex – Best for Thesis Argument Strengthening

TextCortex is a formidable AI writing tool in the academic sector, positioning itself for thesis argument strengthening. It leverages the advanced capabilities of GPT-4 , ensuring a high standard of content generation critical for academic success.

TextCortex is a versatile AI writing assistant, utilizing GPT-4 and web search capabilities, tailored for thesis writing with a focus on generating well-researched and relevant content. The platform allows for over 2800 monthly creations , making it suitable for extensive thesis projects and in-depth research.

With a rating of 4/5 , TextCortex is designed to support academic writing, offering more than 10 knowledge bases to draw from, enriching thesis content with diverse and comprehensive information. The platform enables the development of over 10 custom personas , which can be tailored to specific academic tones and styles.

TextCortex supports thesis writing in over 25 languages , providing a significant advantage for international research work and collaboration.

It also offers 60+ AI writing templates , assisting in the structured development of various thesis sections, from introductions to conclusions.  TextCortex ensures high data security standards, complying with SOC 2 Type I and II , safeguarding user data effectively.

Integration capabilities include connections with Google Chrome, Google Docs, Gmail, Opera, Microsoft Edge, Notion, YouTube, Slack, and Zapier , totaling 9 integrations, facilitating seamless incorporation into various academic workflows and environments.

Its high data security standards and extensive integration capabilities make it a reliable choice for any academic writer in America. For a more detailed analysis, check out my comprehensive TextCortex review .

• Advanced GPT-4 technology for high-quality content such as CV writing.
• An extensive monthly creation limit supports large projects.
• Diverse knowledge bases enrich research quality.
• Custom personas tailor content for specific academic needs.
• Multilingual support enhances international research scope.
• Over-reliance on web search affects originality.
• A large creation limit might encourage less critical engagement.
• Managing multiple personas can be complex.
• High-tech features are daunting for less tech-savvy users.
• Multilingual translations might not always capture nuanced academic language.

The platform’s pricing starting from US$ 6.99 monthly, with a 14-day free trial available for users to explore its features.

• Lite Plan: Available at US$ 6.99 monthly or a prepaid annual rate of $5.59 per month, with the price contingent on the monthly word count option.
• Unlimited Plan: This plan comes for $119 per month, with an annual subscription option at $83.99 per month.

TextCortex substitutes a traditional free trial with a permanently free plan with essential features.

• Regarding customer assurance, TextCortex promotes a 100% money-back guarantee.
• TextCortex ensures continuous assistance, providing a 24/7 supported widget to send an email.

7. Writesonic – Best for Advanced AI Thesis Writing with GPT-4 Technology

Writesonic stands out in the AI writing tool arena, making it an excellent choice for advanced AI thesis writing with GPT-4 technology . As a seasoned academic writer in the USA, I’ve seen how its capabilities in supporting multiple languages and offering a wide range of templates cater to the diverse needs of academic writers.

Writesonic is a sophisticated AI writing assistant tailored for thesis writing, boasting an extensive selection of over 100 AI-driven templates . These templates are instrumental in various aspects of thesis creation, ensuring coherence and depth in academic content.

Utilizing Generative AI models, Writesonic excels at producing high-quality, contextually relevant content , facilitating the development of research that engages and informs the academic community.

With support for over 24 languages , Writesonic is a versatile tool for international research, enabling scholars to communicate their findings to a global audience. An integrated plagiarism checker underscores Writesonic’s commitment to originality and academic integrity in thesis writing.

The platform offers a spectrum of narrative voices, providing thesis writers with the flexibility to match the tone and style of their work to the academic discourse. The Sonic Editor is a key feature, offering advanced editing tools to polish the thesis, ensuring it meets publication standards.

Writesonic has proven invaluable in my thesis writing process, offering advanced features that enhance productivity and quality. Its support for multiple languages and extensive template options make it a versatile and powerful choice for academic writers in the USA. For a deeper dive into its features, check out my comprehensive Writesonic review .

• A wide range of templates simplifies thesis composition.
• Customizable brand voice for professional academic presentation.
• GPT-4 ensures high-quality, sophisticated content.
• Bulk processing aids in efficient academic correspondence.
• Template reliance might limit creative writing approaches.
• Navigating 24 languages could be complex for some users.
• Custom brand voice requires careful calibration.
• Advanced GPT-4 technology might be overwhelming for beginners.
• Bulk email automation usually does not suit all academic communication needs.

Writesonic’s pricing is designed to accommodate various budgets, with plans starting from US$ 15 monthly. These plans range from a free option to more comprehensive packages offering 50 to 100 monthly credits , catering to the needs of diverse academic endeavors.

• Free Plan: Accessible at no cost.
• Chatsonic Pro: Available at US$ 15 per month for monthly billing or $12 per month with annual billing.
• Individual Plan: Offered at $20 monthly when billed monthly and $16.67 monthly for annual billing.
• Teams Plan: Available at $30 per month when billed monthly and $25 per month when billed annually.
• Enterprise Plan: The cost for WriteSonic’s Enterprise plan exceeds $500. For customization, contact their sales team.

WriteSonic provides a free plan with certain restrictions instead of a free trial.

• WriteSonic issues refunds within 7 days of purchasing a plan, provided the user’s word usage does not exceed 25,000 Premium quality words or its equivalent on any of WriteSonic’s paid plans.
• For support, WriteSonic’s customer service is continuously available 24/7 Via Live Chat.

8. Quillbot – Best for Thesis Language Polishing and Refinement

Quillbot emerged as a highly efficient and versatile AI writing tool, establishing itself best for thesis language polishing and refinement. Its array of features, including advanced paraphrasing and summarizing capabilities, make it an invaluable aid for students and researchers.

Quillbot is an AI-enhanced writing tool that assists with thesis writing, offering key features like paraphrasing, grammar correction, sentence structure improvement, summarization, content fluency, and vocabulary enhancement. It supports over 30+ languages , making it versatile for academic writing in various linguistic contexts.

The Plagiarism Checker is a pivotal feature, allowing the verification of up to 100 pages per month for plagiarism, which is crucial for maintaining academic integrity in thesis writing. Alongside this, a Grammar Check feature ensures the linguistic accuracy of the thesis.

Quillbot’s custom brand voice with 8 Predefined Modes features lets users align the tool’s output with their preferred academic tone. The AI is trained on extensive datasets, providing a robust language model for varied academic needs.

Integration capabilities include Microsoft® Office, Google Docs, and Google Chrome , facilitating seamless use across different writing platforms. Data security is a priority, ensuring users’ work remains confidential and protected.

If you’re an academic writer in the USA looking for a versatile and reliable AI writing assistant, I highly recommend checking out my detailed Quillbot review to see how it can support your academic endeavors.

• Varied modes cater to different writing styles.
• Unlimited paraphrasing supports content originality.
• Fast processing accelerates the writing workflow.
• Plagiarism checker upholds academic standards.
• Large word limit for content summarization.
• Multiple modes will be overwhelming for some users.
• Over-reliance on paraphrasing might affect writing skills.
• Plagiarism checker limited to 100 pages might be restrictive.
• Summarizer will oversimplify complex academic concepts.
• Custom summaries require clear, specific instructions for best results.

Pricing ranges from free to US$ 9.95 per month, with different subscription options including Free, Monthly, Semi-Annual, and Annual plans, catering to a wide array of user needs.

The word count ranges from 125 words for free users to unlimited for premium users in the paraphrase tool.

• Free Version: Accessible at no cost, albeit with a basic feature set.
• Premium Plan: This plan offers three pricing alternatives:
• Monthly Subscription: Priced at US$ 9.95 per month.
• Semi-Annual Subscription: Billed every six months at a rate of $6.66 per month.
• Annual Subscription: Billed annually at $4.17 per month.

QuillBot does not offer a free trial, but users can access a limited-feature free version.

• QuillBot offer 100% Money-Back Guarantee within the first 3 days after purchasing the premium plan.
• For assistance, customers can reach out to QuillBot’s support team via Email/Message. The team is available 24/7.

9. HyperWriteAI – Best for Thesis Rewriting and Editing

HyperWriteAI emerges as a dynamic and multifunctional AI writing tool known best for thesis rewriting and editing capabilites . Its wide array of features, from content rewriting to academic translation , positions it as an innovative solution for academic writers seeking efficiency and creativity.

HyperWriteAI is an advanced AI writing assistant, particularly beneficial for thesis writing, encompassing many features to support academic research and writing.

This tool supports any language , providing a significant advantage for global academic collaboration. The Rewrite Content tool stands out among its key features, enabling thesis writers to rephrase and refresh their work while maintaining an academic tone. The Flexible AutoWrite feature adapts to the diverse thesis writing requirements, offering tailored assistance.

The Magic Editor is pivotal in enhancing the clarity and readability of the thesis, ensuring complex ideas are effectively communicated. The importance of originality in academic work is addressed with HyperWriteAI’s plagiarism checker , a vital tool for verifying the uniqueness of the thesis. Additionally, the academic translation feature allows for seamless international research collaboration.

HyperWriteAI also offers contextual synonyms to enrich the academic vocabulary and a consistency check to ensure uniformity in the thesis. The integration with platforms like Microsoft and Google Docs facilitates a streamlined thesis writing process across various digital environments.

Despite the lack of a refund policy, HyperWriteAI’s commitment to data security is clear, with a guarantee of 100% data security essential for safeguarding sensitive academic information.

The platform supports writing in any language , making it a universal tool for academic research across various linguistic contexts. While the word count and the number of seats are not specified, HyperWriteAI provides essential tools such as a grammar check to ensure linguistic accuracy in academic writing. However, it does not offer a plagiarism check , a notable consideration for academic integrity.

HyperWriteAI utilizes advanced AI models to assist users in enhancing their writing and research. It integrates with several platforms, including Microsoft, Google Docs, Chrome, LinkedIn, Notion, and Gmail , ensuring seamless functionality across various applications used in academic settings.

The platform boasts 100% data security , ensuring users’ research and writing remain confidential and secure.

HyperWriteAI is one of the invaluable thesis writing tools, offering features that significantly enhance academic research and writing.

• Comprehensive rewriting tools ensure originality.
• AutoWrite adapts to various thesis writing needs.
• Useful for creating engaging academic thesis content.
• Magic Editor enhances writing quality.
• Plagiarism check upholds academic integrity.
• Some features are more suited to social media than academic writing.
• SEO focus doesn’t align with academic writing norms.
• Rapid feature updates might require frequent adaptation.
• Extensive editing modes could be overwhelming.
• Requires balancing between automated assistance and personal input.
• Starter Plan:  The service provides a Free account with limited features for users to evaluate its suitability for their thesis writing needs. The Starter plan offers limited assistant credits each month, where the credits are used for actions such as sending messages or carrying out browser activities within the platform.
• Premium Plan: The Premium Plan is considered an ideal starter plan and is priced at US$ 19.99 per month. It comes with 200 assistant credits every month, with each credit equating to one assistant message or ten browser actions, unlimited TypeAheads, providing personalized writing suggestions as you type, which is particularly integrated with the HyperWrite Chrome Extension.
• Ultra Plan: The Ultra Plan, priced at $44.99 monthly, is tailored for professionals and power users requiring more extensive service. It includes 500 monthly assistant credits for more intensive assistant interactions and workflows.

Users are responsible for the Service Subscription Fee when purchasing a premium version or subscribing to paid services of HyperWriteAI.

The Service Subscription Fee is applicable from the Service Commencement Date when selecting either a monthly or annual subscription package.

•  It Do not issue refunds for subscriptions, emphasizing the importance of the free account for trial purposes. However, except as outlined in the Agreement, all fees for the Services provided by HyperWriteAI are non-refundable.
• Users can access help through the HyperWriteAI Help and Support page, where they can request assistance. The support team is responsive and aims to resolve issues promptly.

10. Copy.ai – Best for Thesis Generation and Argument Strengthening

Copy.ai stands out in the thesis writing domain for its exceptional writing capabilities, considered best for thesis generation and argument strengthening . This tool especially benefits those seeking to infuse versatility and innovation into their academic writing.

Copy.ai is an AI writing assistant best suited for idea generation, brand voice customization, and producing high-conversion copy across numerous templates and a user-friendly interface. The platform can accommodate up to 20 users , making it an excellent tool for individual writers and larger teams engaged in extensive thesis writing projects.

The service generously allocates up to 75K Workflow Credits/Month , ensuring users can undertake large-scale thesis writing tasks without worrying about running out of resources. Copy.ai supports content creation in over 95 languages and offers more than  90 templates , enhancing its utility for a diverse range of academic applications.

While a plagiarism checker isn’t included, the tool compensates with a robust grammar check feature and the ability to tailor the brand voice to the user’s specifications, leveraging Natural Language Processing (NLP) and machine learning algorithms for content generation.

Copy.ai integrates with several key platforms, including Google Sheets, Microsoft Excel, Webflow, WordPress, Shopify, Brainpod AI, Mixpanel, Speak ai, and Zapier , totaling eight integrations that streamline the thesis writing process. The 100% data security commitment ensures all academic content and user data remain protected.

Copy.ai is a powerful tool for academic writers, offering advanced features and integrations that enhance productivity and quality. For more detailed insights, check out my comprehensive Copy.ai review .

• Suitable for large teams with up to 20 seats.
• Varied brand voices enhance thesis style flexibility.
• Comprehensive language support for global research.
• Extensive range of prompt templates for thesis.
• Generous workflow credits support extensive projects.
• This tool can be overwhelming for smaller research projects.
• The multitude of features could be complex for new users.
• The focus on thesis styles is not fully aligned with formal academic writing.
• High credit limits might not be necessary for individual researchers.
• The diversity of languages and styles will detract from deep, focused research in a specific field.
• Free Version: The platform offers a free plan with limited features for trial purposes.
• Pro Version: Monthly billing at US$ 49 per month, or $36 per month with annual payment.
• Team Version: Monthly cost of $249, or $186 per month with annual subscription.
• Enterprise Version: $4,000 monthly for monthly billing, reduced to $3,000 per month with an annual plan.

Copy.ai does offer a free trial, but they do have a with limited features.

• Copy.ai offer 100% money-back guarantee on their subscription plans.
• With Customer support 24/7 via E-mail, Copy.ai stands out as a resourceful tool for thesis writers, offering comprehensive features to support their academic tasks.

11. Paperpal – Best for Academic Translations and Consistency Checking

Paperpal is a groundbreaking AI writing tool uniquely designed to cater to the nuanced needs of thesis writing, positioning itself best for academic translations and consistency checking . Its array of features, from language suggestions to academic translation , positions it as an indispensable tool for researchers and students alike.

Paperpal is a versatile AI writing assistant, particularly suited for thesis writing, offering a broad spectrum of features to enhance academic content.

The service supports 25+ languages , enabling thesis writers to work in various linguistic contexts, and offers a plagiarism check limited to 7000 words per month , which is crucial for maintaining the originality of scholarly work.

With unlimited grammar and language suggestions , writers can refine their thesis for clarity and effectiveness. Paperpal includes features tailored for thesis writing, such as:

• Language Suggestions : Real-time improvement suggestions to enhance text clarity and academic rigor.
• Bolt – Paperpal Copilot : An AI assistant providing advanced support in creating structured and insightful thesis content.
• Rewrite : Facilitates paraphrasing and refining of content to maintain an academic tone.
• Academic Translation : Translates content from over 25 languages, aiding international research collaboration.
• Contextual Synonyms : Suggest appropriate academic vocabulary to enhance the thesis’s scholarly quality.
• Consistency Check : Ensures the thesis adheres to academic conventions and standards.
• Paperpal for Manuscripts : Offers specialized checks for language quality and technical compliance, particularly useful for thesis manuscripts aimed at publication.
• Editing Modes : Allows selection between Essential or Extensive editing to match the detail level required in thesis editing.

Additionally, Paperpal integrates with web browsers and MS Word, providing 100% data security, and is ISO/IEC 27001:2013 certified , ensuring the confidentiality and integrity of your academic work.

Overall, Paperpal is known to be one of the best AI tools to write thesis, providing robust support to refine and enhance academic content. For a more detailed analysis, check out my Paperpal review .

• Real-time language improvement suggestions.
• AI assistance for structured and insightful writing.
• Extensive features for rewriting and generating content.
• Plagiarism checking ensures originality and integrity.
• Multilingual translation supports international research.
• A wide range of features might overwhelm beginners.
• Dependence on AI for content generation usually impacts learning.
• The plagiarism checker’s effectiveness varies with source databases.
• Navigating between different editing modes will require a learning curve.
• Access to advanced features will necessitate frequent updates.
• Free Plan: It offers language suggestions, Paperpal Copilot, paraphrasing, trimming, and setting an academic tone, generating titles, abstracts, research article outlines, emails, and more.
• Prime Plan: The Prime Plan costs US$ 19 per month and $119 per year. This plan provides unlimited access to language suggestions, Paperpal Copilot, paraphrasing, trimming, and adjusting academic tone, unlimited titles, abstracts, and more, and asks for unlimited topic suggestions and writing inspiration. Additionally, the plan offers a plagiarism check with a limit of 7000 words per month.
• Paperpal allows you to cancel your subscription at any time. The Money back guarantee is available within 30 days for an annual subscription, and 7 days for a monthly subscription.
• To cancel your subscription, visit the “Membership & Billing” page. You can contact Paperpal for assistance at [email protected] if you encounter any issues.
• Customer support is Available via email.

Choosing the Right AI Writing Tool for Thesis Writing: A Guide

Selecting the best AI tools for thesis writing in 2024 is crucial for achieving the best outcomes. Here are some of the factors you need to consider when picking up the right tool to write a thesis for you;

Determines the affordability and budget-friendliness of the tool, which is crucial for students often working with limited funds. Choosing a cost-effective tool ensures you can utilize advanced features without straining your finances.

• Rytr: Offers a free and unlimited plan at $29/month, making it accessible for budget-conscious students.
• Scalenut: Priced at $17/month for the Essential Plan, it’s a great option for solo researchers.
• Paperpal: Has a Prime Plan at $12/month, offering robust features at a reasonable price.

2. Word Count

Helps organize the content effectively, ensuring that each part of the thesis meets the required depth and detail. Tools with extensive word support help maintain your thesis’s necessary depth and thoroughness.

• Rytr: Supports unlimited word counts in its premium plans, ideal for comprehensive theses.
• Writesonic: Offers plans with up to unlimited words, which is perfect for detailed research papers.
• Scalenut: It also supports unlimited AI words, making it suitable for extensive writing projects.

3. Grammar Check

Helps in producing error-free writing, improving the readability and professionalism of the thesis. Using a tool with robust grammar checking can significantly improve the quality and professionalism of your writing.

• ProWritingAid: Provides in-depth grammar checks, style improvements, and in-depth analysis reports.
• Quillbot: Known for its effective grammar and plagiarism-checking features.
• Paperpal: Offers comprehensive grammar checking to ensure linguistic precision.

4. Brand Voice

Allows customization to align the writing style with specific academic or institutional guidelines. Customizing the brand voice ensures your thesis adheres to the desired academic standards and tone.

• Rytr: Offers various tone and style options to match specific academic disciplines.
• Jasper AI: Provides customizable brand voices, ensuring your thesis maintains a consistent academic tone.
• Copy.ai: You can set a custom brand voice to align with your writing style.

5. Integration

Enables seamless workflow by allowing the AI tool to work with other software like word processors and reference managers. Integration capabilities make it easier to manage your workflow and incorporate your thesis into various platforms and formats.

• Writesonic: Integrates with tools like Zapier, Twitter, and WordPress.
• HyperWriteAI: Works well with Google Docs, Microsoft Office, and other productivity tools.
• Scalenut: Integrates with WordPress, Semrush, and Copyscape, enhancing workflow efficiency.

6. Data Security

Protects sensitive academic work from unauthorized access and ensures compliance with privacy standards. Ensuring data security protects your research and complies with privacy regulations is crucial for academic integrity.

• Paperpal: Ensures 100% data security and is ISO/IEC 27001:2013 certified.
• Jasper AI: Emphasizes high data security, safeguarding your academic work.
• TextCortex: Complies with SOC 2 Type I and II standards, ensuring robust data protection.

7. Customer Support

Offers assistance and resolves issues, ensuring a smooth user experience, which is especially important during critical thesis deadlines. Reliable customer support ensures you can get help when needed, especially during tight deadlines.

• ProWritingAid: Provides extensive support through various channels.
• Quillbot: Offers 24/7 customer support, which is essential during critical times.
• TextCortex: Ensures continuous assistance, helping resolve issues promptly.

8. Languages Supported

Ensures the tool can be used by non-native English speakers or those writing in multiple languages, enhancing accessibility. Support for multiple languages ensures accessibility and utility for a global audience, enhancing collaboration and research diversity.

• Jasper AI: Supports over 25 languages, making it accessible for international students.
• Writesonic: Offers support in multiple languages, facilitating global research.
• Paperpal: Provides language suggestions and academic translation in over 25 languages.

9. Number of Seats

Allows multiple users (such as students and advisors) to access and work on the thesis simultaneously, facilitating real-time collaboration and feedback. Collaboration features allow for real-time feedback and teamwork, which is essential for comprehensive thesis development.

• Jasper AI: Offers plans that accommodate multiple users, ideal for collaborative projects.
• Copy.ai: Provides flexible access options, enabling team collaboration.
• Scalenut: Supports up to 10 seats, making it suitable for team-based research.

10. Templates

Provides predefined structures that can save time and ensure formatting and content organization consistency. Templates help maintain consistency and save time, ensuring your thesis meets academic formatting standards.

• Writesonic: Offers over 100 templates, aiding in structured thesis writing.
• Jasper AI: Provides various templates to streamline the writing process.
• Copy.ai: Includes numerous templates for different academic writing needs.

By considering these factors and matching them to your needs, you can select the most suitable AI tool for your thesis writing journey. Each tool mentioned offers unique strengths that can enhance the writing process, ensuring you achieve high-quality, well-organized, and professional theses.

How AI Writing Tools Enhance Thesis Writing?

Do you know what is the longest thesis ever written?

The longest PhD thesis was authored by historian Joachim Schuhmacher, focusing on the development of sailing. Initially, his thesis comprised 2,654 pages but was later reduced to 2,200 pages. This monumental work is recognized in the Guinness World Records. Schuhmacher submitted his thesis at the University of Konstanz in Germany.

Over the years, I’ve discovered that AI writing tools can be lifesavers, helping to streamline the writing process, enhance productivity, and improve the quality of work. These best AI tools for thesis writing in 2024 can assist in various stages of the thesis writing process, from brainstorming and organizing ideas to editing and ensuring academic rigor. Here’s how AI writing tools enhance thesis writing:

• Idea Generation and Structuring: AI tools like Rytr and Scalenut help generate ideas and structure your thesis. Rytr’s AI Paragraph Generator and Scalenut’s Thesis Optimizer are useful in creating relevant text segments and enhancing readability and engagement.
• Plagiarism and Coherence Checking: Ensuring originality and coherence in academic writing is crucial. Tools like Rytr provide built-in plagiarism checkers and coherence-checking features, maintaining academic integrity and linguistic accuracy.
• Rewriting and Editing: Scalenut and HyperWriteAI excel in rewriting and editing, providing advanced content refinement and draft enhancement features. These tools can automate various writing tasks, allowing researchers to focus on content quality.
• Multilingual Support: Jasper AI and Writesonic offer extensive multilingual support, facilitating international research collaboration and enabling scholars to communicate their findings to a global audience. This is particularly useful for thesis writing in multiple languages.
• Citation and Referencing: ProWritingAid is renowned for its advanced grammar checking, style improvement, and citation integration, ensuring that your thesis adheres to academic standards and is well-structured.
• Argument Strengthening: TextCortex and Copy.ai help strengthen thesis arguments, leveraging advanced AI capabilities to generate well-researched and coherent content, essential for developing strong, persuasive arguments in your thesis.
• Language Polishing and Refinement: Quillbot is ideal for polishing and refining academic language, offering features like paraphrasing, grammar checking, and vocabulary enhancement to ensure clarity and fluency in your thesis.
• Advanced AI Technology: Writesonic , utilizing GPT-4 technology, produces high-quality, sophisticated content, aiding in the detailed creation of thesis frameworks, argumentative coherence, and academic language polishing.
• Academic Translations and Consistency Checking: Paperpal offers robust support for academic translations and consistency checking, enhancing your research’s clarity, logical flow, and presentation.

In conclusion, AI writing tools significantly enhance the thesis writing process for US researchers and students by streamlining various stages of writing, ensuring academic integrity, and improving the overall quality of the work. These tools provide invaluable assistance, making the daunting task of writing a thesis more manageable and efficient.

Is it Ethical to Use AI for Thesis Writing?

The ethical considerations of using AI for thesis writing are a significant topic in academic discussions. As an expert thesis writer working in a content publishing house for years in America, I’ve seen firsthand how AI can both aid and complicate the writing process . The key question is how these AI tools are used.

From my experience, using AI tools ethically in thesis writing can enhance the writing process without compromising integrity . For instance, I often utilize tools like Jasper AI and Rytr to help refine drafts , ensuring clarity and coherence in complex arguments.

These AI tools for thesis writing can assist in organizing thoughts, checking grammar, and improving the logical flow , similar to how software aids in data analysis without replacing the researcher’s insight.

However, ethical concerns arise when AI is used to generate substantial portions of a thesis without proper oversight or understanding. This practice can undermine the learning process and the student’s own intellectual contribution. The best approach is to use AI tools as support mechanisms , ensuring that the final product truly reflects the student’s knowledge and efforts .

Transparency is also essential. If AI tools are utilized, students should disclose this in their methodology , adhering to academic honesty principles. This helps educators understand the role AI plays in the work. Utilizing the best AI thesis writer ethically involves leveraging their capabilities to enhance quality and efficiency while maintaining the originality and integrity of academic work.

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Can AI writing tools generate entire sections of a thesis?

Can ai tools help with referencing and citations in thesis writing, can ai tools improve the language and readability of a thesis, are there any free ai writing tools suitable for thesis writing, can ai write a master thesis.

There’s no doubt that AI has revolutionized the thesis writing process by offering unprecedented support in research, organization, writing, and editing . With their advanced algorithms , the best AI tools for thesis writing in 2024  can assist in data analysis , generate ideas, improve language, ensure citation accuracy , and much more. They empower students and researchers to produce higher-quality work with greater efficiency.

Selecting the right AI writing tool can transform the thesis writing experience, making it more efficient , accurate , and enjoyable . Whether you need help with plagiarism checking, grammar refinement, language support, or content generation , there’s a tool that fits your needs.

Digital marketing enthusiast by day, nature wanderer by dusk. Dave Andre blends two decades of AI and SaaS expertise into impactful strategies for SMEs. His weekends? Lost in books on tech trends and rejuvenating on scenic trails.

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The Ultimate Thesis Statement Generator

Thesis Statement Generator

Are you struggling with formulating a concise, compelling thesis statement? You're not alone. Jenni.ai is here to empower your academic writing journey with our thesis statement generator, a sophisticated AI tool dedicated to generating and refining thesis statements. Unlike other tools, Jenni ensures the authenticity and uniqueness of your thesis statement, setting a strong foundation for your academic piece.

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Personalized Thesis Statement Suggestions

Jenni AI tailors suggestions based on your input, helping you craft a thesis statement that aligns with your research goals and academic standards.

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Interactive Writing Assistant

Engage with Jenni to refine and improve your thesis statement. It's like having a collaborative partner in the writing process, ensuring your thesis is on the right track.

Accessible Anytime, Anywhere

With Jenni AI, receive thesis statement assistance whenever inspiration strikes, on any device.

User-friendly Interface

With an intuitive interface, Jenni AI is easy to navigate and use, making the process of crafting a thesis statement straightforward and enjoyable.

Your Integrity, Our Priority

Jenni AI isn’t here to do the work for you but to assist you in overcoming the hurdles of thesis statement writing. We take academic integrity seriously. We are here to support you, not to shortcut your academic journey.

How does the Thesis Statement Generator Work?

Jenni AI seamlessly integrates into your research workflow

Sign Up for Free

Create your free Jenni.ai account to unlock a world of academic excellence. Your journey toward a compelling thesis statement begins here.

Input Your Topic

Type in your research topic or a key question you aim to answer through your thesis. Jenni’s intuitive interface makes this step a breeze.

Receive Suggestions

Based on your input, Jenni.ai provides you with a set of preliminary thesis statement suggestions. These are tailored to reflect the essence of your research while adhering to academic standards.

Refine with Real-Time Feedback

Jenni.ai offers real-time feedback as you tweak and refine your thesis statement. This iterative process ensures clarity, coherence, and a strong alignment with your research objectives.

Export Your Thesis Statement

Once satisfied, simply download or copy your thesis statement, and you’re ready to delve deeper into your academic writing journey.

Real Testimonials from Real Achievers

Discover the stories of academics who have experienced the transformative impact of Jenni AI on their academic journeys.

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I thought AI writing was useless. Then I found Jenni AI, the AI-powered assistant for academic writing. It turned out to be much more advanced than I ever could have imagined. Jenni AI = ChatGPT x 10.

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I started with Jenni-who & Jenni-what. But now I can't write without Jenni. I love Jenni AI and am amazed to see how far Jenni has come. Kudos to http://Jenni.AI team.

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Frequently asked questions

How do i start using jenni ai, is jenni ai free to use, can i use jenni ai on my mobile device.

How does Jenni AI ensure the quality of the thesis statement?

Will Jenni AI write my entire thesis?

What do I do if I need further assistance?

Can I use Jenni AI on my mobile device?using Jenni AI's outline generator guarantee a better grade?

Jenni AI vs Competitors: A Comparative Insight

Experience a notable difference in how you articulate and present your scholarly ideas with Jenni AI

Feature Featire

COMPETITORS

Quality of Suggestions

Advanced AI algorithms ensure high-quality, academically sound thesis statement suggestions tailored to your research topic.

Generic suggestions that may lack depth or alignment with your specific research objectives.

User-Friendly Interface

User-friendly interface designed for seamless navigation and immediate engagement, requiring no technical expertise.

May have a steeper learning curve, with complex features that require time to understand.

Comprehensive Customization

Jenni's outline generator allows for comprehensive customization, empowering you to tailor your outline to your specific needs and preferences.

While competitors may offer customization options, they may not provide the same level of flexibility and adaptability.

Real-Time Feedback

Provides instant feedback as you refine your thesis statement, aiding in the iterative improvement process.

May lack real-time feedback, leaving you without guidance for improvement.

Competitive pricing with a free version available to get you started.

May have higher pricing or lack a free version for trial.

Ready to Elevate Your Thesis Writing?

Sign up for a free account now and experience the power of Jenni AI in crafting compelling thesis statements!

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10 Best AI tools for Thesis Writing

Revolutionizing Academic Writing: The 10 Best AI Tools for Streamlining Thesis Creation

Thesis writing is a challenging yet integral part of academic pursuits, and the integration of Artificial Intelligence (AI) tools has revolutionized the research and writing process. In this article, we explore the top 10 AI tools that are invaluable for thesis writing, offering efficiency, precision, and enhanced productivity to researchers and students alike.

1. Grammarly:

Grammarly is an AI-powered writing assistant that goes beyond basic grammar checks. It provides advanced suggestions for clarity, tone, and style, ensuring your thesis is not only grammatically correct but also well-polished and professional.

Zotero is a reference management tool enhanced by AI capabilities. It helps researchers organize sources, generate citations, and create bibliographies effortlessly. The AI-driven features simplify the citation process, saving valuable time during thesis writing.

3. Copyscape:

Maintaining academic integrity is crucial, and Copyscape is an AI tool designed to detect plagiarism. It scans the content against a vast database, ensuring your thesis is original and free from unintentional similarities with existing works.

4. Ref-N-Write:

Ref-N-Write is an AI-powered academic writing tool that assists in generating research top paper writer service and thesis content. It offers a vast collection of academic phrases and sentence structures, aiding researchers in articulating their ideas with precision.

5. EndNote:

EndNote is a reference management tool that integrates AI for better organization and citation management. It streamlines the process of collecting, organizing, and citing references, allowing researchers to focus more on the content of their thesis.

6. Quetext:

Quetext is an AI-based plagiarism checker that provides a comprehensive analysis of your thesis content. Its advanced algorithms identify potential instances of plagiarism, ensuring the originality and authenticity of your research.

7. ProWritingAid:

ProWritingAid is an AI-driven writing tool that analyzes writing style, suggests improvements, and checks for issues like overused words and vague phrasing. It enhances the overall quality of your thesis by providing detailed insights into writing strengths and weaknesses.

8. Mendeley:

Mendeley is a reference manager and academic social network that incorporates AI for personalized recommendations. It suggests relevant research papers, articles, and resources based on your research interests, enriching the reference pool for your thesis.

9. IBM Watson Discovery:

IBM Watson Discovery is a powerful AI tool for data discovery and analysis. It can be employed to extract insights from large datasets, aiding researchers in gathering relevant information for their theses and making data-driven conclusions.

10. Evernote:

Evernote, equipped with AI capabilities, is a versatile note-taking tool. It allows researchers to organize and store research notes, ideas, and references in a systematic manner. The AI-enhanced search function makes retrieving information seamless.

Conclusion:

The integration of AI tools into the thesis writing process has ushered in a new era of efficiency and precision for researchers and students. From grammar checks to plagiarism detection and reference management, these 10 AI tools contribute to streamlining the academic writing journey, ensuring that the focus remains on the substance and quality of the thesis content. Embracing these tools empowers researchers to navigate the complexities of thesis writing with enhanced productivity and confidence.

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The 5 Best AI Tools for Postgraduate Research

What's the most challenging part of working towards your postgraduate degree? For many students, combing through mountains of research presents an insurmountable obstacle.

For one thing, the sheer volume of research articles you have to read is overwhelming. On top of that, research material isn't exactly an easy read, and sifting through each article to glean the relevant information you need takes a great deal of time and effort. Organizing your thoughts and then putting them on paper in a thoughtful, meaningful - and academic - way is yet another challenge in postgraduate research.

Thankfully, artificial intelligence (AI) can help make your postgraduate study life a whole lot easier. In this article, we'll explore 5 of the best AI tools for academic researchers and postgraduate students so that you save time and energy and stay motivated!

5 Best AI Tools for Postgraduate Research

1. semantic scholar, ai-powered academic search engine.

Most people know about Google Scholar: the power of Google applied to research papers. If you're doing any form of scientific research though, you might want to give Semantic Scholar a go. This AI-powered search and discovery tool allows you to stay up to date with more than 200 million academic papers sourced from publisher partnerships, data providers, and web crawls.Its AI algorithms help you to discover hidden connections and links between research topics, and recommend similar papers based on the research you've already saved, to generate more relevant search results for you.

It can also automatically generate single-sentence summaries of each paper to help you prioritize which academic papers to read in-depth, so you spend your time on what matters the most.

AI-powered Research Organization

Being able to scour the web for online research is a gift. But with it comes two issues - the volume of information available, and the fact that all of this information comes in a range of formats, including blogs, articles, videos, infographics, and images. Identifying and sorting all the information that is relevant to different aspects of your research can be a time-consuming task on its own.

‍ Bit.ai helps you identify and save relevant research - even interactive, media-rich research. As a cloud-based collaborative platform, it also lets you easily share this content with fellow co-researchers in real-time.

Benjamin Franklin once said, "For every minute spent organizing, an hour is earned." When you have all your research notes and references in one easy space, it keeps you more organised, and more focused as a result.

3. Scholarcy

Ai-powered research summarization.

Wouldn't it be amazing if you could get someone to read all the academic articles you’ve saved and pull out the most important points so that you don’t have to spend hours skim-reading articles to find the most useful ones? Happily, Scholarcy does just that.

Using deep learning technology, it reads your articles, reports, and book chapters, breaking them down into bite-sized sections and highlighting key information such as important findings, limitations, and comparisons with earlier studies. Scholarcy lets you quickly screen the literature and find out, at a glance, how relevant a document is to your research. Feedback from researchers and students shows that Scholarcy can reduce the time screening articles by up to 70%. That leaves you more time to dive into the most relevant papers in detail.

Scholarcy also has a browser extension that works with both open access and your subscription services. It turns all citations into links so you can effortlessly jump straight to related research.

AI-powered Citation Evaluation

Researching and citing information isn't always enough. It’s the context of that cited research that is key. That's where Scite comes in. This handy tool not only lets you see how many times an article has been cited, and in what context, but also helps you uncover other related research.

In the continually evolving world of scientific research, Scite helps you keep track of whether an article has been supported or questioned by other authors, even bringing relevant editorial notices or retractions to your attention.

AI-powered Research Paper Writing

Trinka is an AI-powered writing assistant created with academic writing in mind, meaning it'll spot errors in technical and scientific writing that other common grammar and spelling tools may miss. So whether you're working on a paper in the field of medicine or economics, Trinka will be able to recommend improvements relevant to your particular subject.

Trinka will also identify and correct your vocabulary, grammar, spelling, syntax use, tone, and more. It can even make suggestions to make your academic paper more compliant with the APA or AMA style guides.

Research is what powers the world to move forward, and now AI technology is powering scientific discovery forward at an even faster rate. Research processes that would usually take hours digging through publication after publication can now be done in a fraction of the time.

So if you're still doing research the old-fashioned way, save yourself some time - and sanity! - and try some of these AI-powered tools.

How to Write an Impressive Thesis Using an AI Language Assistant

Session Agenda

Writing an effective thesis is important for researchers to demonstrate their thorough knowledge about the research subject.  However, this could be a daunting task given the struggle to compile years of research in a structured and error-free manner. The process becomes even more stressful when the scuffle for using verbs in their correct tense, adding appropriate punctuation marks, and fixing grammatical and contextual spelling errors ensues. This webinar aims to help researchers understand how Trinka , an advanced artificial intelligence-powered writing assistant, can assess and enhance the quality of their thesis. It will further discuss how this dedicated AI-based tool can assist researchers to resolve the longstanding challenge of communicating their thesis in a grammatically correct and scientifically structured manner.

• Three stages of Writing: Planning, Writing, and Editing
• Structure of a Thesis – Types and Important Sections
• How to Organize your Thoughts and Begin Writing
• How to Write a Thesis Statement
• Common Errors in Thesis Writing
• Expert Tips on Drafting Each Section of a Thesis
• Role of AI in Academic Writing
• How AI Can Assist Authors to Write an Impressive Thesis

Who should attend this session?

• Graduate students
• Early-stage researchers
• Doctoral students

About the Speaker

Douglas W. Darnowski, Ph.D.

Dr. Darnowski is a highly published researcher with experience in publishing books, book chapters, research papers, review articles, teaching material (textbooks, instruction manuals, etc.) and book reviews. Dr. Darnowski has over 20 years of experience in editing of scientific papers for peer-reviewed journals. Furthermore, he has reviewed over 50 introductory biology textbook chapters and wrote over 9,000 questions for Sinauer, W.H. Freeman, McGraw Hill, and Pearson. Currently, he is associated with the Editorial Boards of Carnivorous Plant Newsletter and International Triggerplant Society. He is also the recipient of more than 40 research grants/fellowships.

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I am looking for Editing/ Proofreading services for my manuscript Tentative date of next journal submission:

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Manuscript Master

Ai-powered manuscript creation tool.

• Simplify academic writing: Transform your research findings and ideas into a structured manuscript.
• Streamline thesis writing: Develop a well-organized thesis manuscript based on your research and key findings.
• Enhance research papers: Create a comprehensive research paper with clearly defined sections and well-articulated points.
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Transforming ideas into expertly crafted theses.

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Exciting news for educators & learners 🚀.

Introducing Problem Solver, a next-gen learning assistant addressing educational gaps from KG to PhD, offering personalized guidance and solutions for real-world challenges. Embrace a teaching aid that explains, solves, and guides through academic hurdles at all levels

Proofreading

Scholarwriteai: elevate your writing to unmatched clarity and professionalism.

ScholarWriteAI is a premier proofreading companion, meticulously engineered to enhance writing by correcting grammar, refining punctuation, and aligning sentence structure with professional standards. Whether creating academic papers, business reports, or creative works, this tool adapts to your unique style, ensuring flawless communication with precision and elegance

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ScholarWriteAI distinguishes itself through robust AI integration, accessing high-index journals to ensure academic work is both high-quality and rooted in current research. This AI-driven platform empowers students and academics, offering an invaluable research edge, making it a trusted academic companion.

Unparalleled Research Depth

ScholarWriteAI offers expert assistance in crafting comprehensive and well-structured thesis proposals, setting a strong foundation for research projects. Beyond proposals, it provides support for various academic writing needs, including thesis sections, papers, and dissertations. ScholarWriteAI's adaptive AI serves both novice scholars and seasoned academics, enhancing academic writing at all levels.

A Comprehensive Writing Assistant

ScholarWriteAI, a research platform, harnesses high-index journals to provide users with top-tier sources, ensuring academic writing is both high-quality and up-to-date. It eliminates the need for extensive source searching, delivering the best content directly to users, streamlining the research process.

Introduction

In an era where technology is not just an advantage but a necessity, the academic realm craves innovation that can streamline the intricate process of research and writing. Enter ScholarWriteAI, an advanced AI-driven platform designed to revolutionize academic writing from undergraduate theses to PhD-level dissertations.

ScholarWriteAI is not just another academic tool; it's a paradigm shift in how we approach academic writing. By seamlessly blending technology with scholarly requirements, it promises a future where academic writing is more accessible, refined, and rooted in top-quality research. As the world of academia continues to evolve, platforms like ScholarWriteAI are leading the charge, ensuring that scholars have the best tools at their disposal. With ScholarWriteAI, the future of academic writing looks not only promising but also profoundly transformative.

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How to Write a Better Thesis Statement Using AI (2023 Updated)

Table of contents

Meredith Sell

With the exceptions of poetry and fiction, every piece of writing needs a thesis statement. 

- Opinion pieces for the local newspaper? Yes. 

- An essay for a college class? You betcha.

- A book about China’s Ming Dynasty? Absolutely.

All of these pieces of writing need a thesis statement that sums up what they’re about and tells the reader what to expect, whether you’re making an argument, describing something in detail, or exploring ideas.

But how do you write a thesis statement? How do you even come up with one?

This step-by-step guide will show you exactly how — and help you make sure every thesis statement you write has all the parts needed to be clear, coherent, and complete.

Let’s start by making sure we understand what a thesis is (and what it’s not).

What Is a Thesis Statement?

A thesis statement is a one or two sentence long statement that concisely describes your paper’s subject, angle or position — and offers a preview of the evidence or argument your essay will present.

A thesis is not:

• An exclamation
• A simple fact

Think of your thesis as the road map for your essay. It briefly charts where you’ll start (subject), what you’ll cover (evidence/argument), and where you’ll land (position, angle). 

Writing a thesis early in your essay writing process can help you keep your writing focused, so you won’t get off-track describing something that has nothing to do with your central point. Your central point is your thesis, and the rest of your essay fleshes it out.

Get help writing your thesis statement with this FREE AI tool > Get help writing your thesis statement with this FREE AI tool >

Different Kinds of Papers Need Different Kinds of Theses

How you compose your thesis will depend on the type of essay you’re writing. For academic writing, there are three main kinds of essays:

• Persuasive, aka argumentative
• Expository, aka explanatory

A persuasive essay requires a thesis that clearly states the central stance of the paper , what the rest of the paper will argue in support of. 

Paper books are superior to ebooks when it comes to form, function, and overall reader experience.

An expository essay’s thesis sets up the paper’s focus and angle — the paper’s unique take, what in particular it will be describing and why . The why element gives the reader a reason to read; it tells the reader why the topic matters.

Understanding the functional design of physical books can help ebook designers create digital reading experiences that usher readers into literary worlds without technological difficulties.

A narrative essay is similar to that of an expository essay, but it may be less focused on tangible realities and more on intangibles of, for example, the human experience.

The books I’ve read over the years have shaped me, opening me up to worlds and ideas and ways of being that I would otherwise know nothing about.

As you prepare to craft your thesis, think through the goal of your paper. Are you making an argument? Describing the chemical properties of hydrogen? Exploring your relationship with the outdoors? What do you want the reader to take away from reading your piece?

Make note of your paper’s goal and then walk through our thesis-writing process.

Now that you practically have a PhD in theses, let’s learn how to write one:

How to Write (and Develop) a Strong Thesis

If developing a thesis is stressing you out, take heart — basically no one has a strong thesis right away. Developing a thesis is a multi-step process that takes time, thought, and perhaps most important of all: research . 

Tackle these steps one by one and you’ll soon have a thesis that’s rock-solid.

1. Identify your essay topic.

Are you writing about gardening? Sword etiquette? King Louis XIV?

With your assignment requirements in mind, pick out a topic (or two) and do some preliminary research . Read up on the basic facts of your topic. Identify a particular angle or focus that’s interesting to you. If you’re writing a persuasive essay, look for an aspect that people have contentious opinions on (and read our piece on persuasive essays to craft a compelling argument).

If your professor assigned a particular topic, you’ll still want to do some reading to make sure you know enough about the topic to pick your specific angle.

For those writing narrative essays involving personal experiences, you may need to do a combination of research and freewriting to explore the topic before honing in on what’s most compelling to you.

Once you have a clear idea of the topic and what interests you, go on to the next step.

2. Ask a research question.

You know what you’re going to write about, at least broadly. Now you just have to narrow in on an angle or focus appropriate to the length of your assignment. To do this, start by asking a question that probes deeper into your topic. 

This question may explore connections between causes and effects, the accuracy of an assumption you have, or a value judgment you’d like to investigate, among others.

For example, if you want to write about gardening for a persuasive essay and you’re interested in raised garden beds, your question could be:

What are the unique benefits of gardening in raised beds versus on the ground? Is one better than the other?

Or if you’re writing about sword etiquette for an expository essay , you could ask:

How did sword etiquette in Europe compare to samurai sword etiquette in Japan?

How does medieval sword etiquette influence modern fencing?

Kickstart your curiosity and come up with a handful of intriguing questions. Then pick the two most compelling to initially research (you’ll discard one later).

3. Answer the question tentatively.

You probably have an initial thought of what the answer to your research question is. Write that down in as specific terms as possible. This is your working thesis . 

Gardening in raised beds is preferable because you won’t accidentally awaken dormant weed seeds — and you can provide more fertile soil and protection from invasive species.

Medieval sword-fighting rituals are echoed in modern fencing etiquette.

Why is a working thesis helpful?

Both your research question and your working thesis will guide your research. It’s easy to start reading anything and everything related to your broad topic — but for a 4-, 10-, or even 20-page paper, you don’t need to know everything. You just need the relevant facts and enough context to accurately and clearly communicate to your reader.

Your working thesis will not be identical to your final thesis, because you don’t know that much just yet.

This brings us to our next step:

4. Research the question (and working thesis).

What do you need to find out in order to evaluate the strength of your thesis? What do you need to investigate to answer your research question more fully? 

Comb through authoritative, trustworthy sources to find that information. And keep detailed notes.

As you research, evaluate the strengths and weaknesses of your thesis — and see what other opposing or more nuanced theses exist. 

If you’re writing a persuasive essay, it may be helpful to organize information according to what does or does not support your thesis — or simply gather the information and see if it’s changing your mind. What new opinion do you have now that you’ve learned more about your topic and question? What discoveries have you made that discredit or support your initial thesis?

Raised garden beds prevent full maturity in certain plants — and are more prone to cold, heat, and drought.

If you’re writing an expository essay, use this research process to see if your initial idea holds up to the facts. And be on the lookout for other angles that would be more appropriate or interesting for your assignment.

Modern fencing doesn’t share many rituals with medieval swordplay.

With all this research under your belt, you can answer your research question in-depth — and you’ll have a clearer idea of whether or not your working thesis is anywhere near being accurate or arguable. What’s next?

5. Refine your thesis.

If you found that your working thesis was totally off-base, you’ll probably have to write a new one from scratch. 

For a persuasive essay , maybe you found a different opinion far more compelling than your initial take. For an expository essay , maybe your initial assumption was completely wrong — could you flip your thesis around and inform your readers of what you learned?

Use what you’ve learned to rewrite or revise your thesis to be more accurate, specific, and compelling.

Raised garden beds appeal to many gardeners for the semblance of control they offer over what will and will not grow, but they are also more prone to changes in weather and air temperature and may prevent certain plants from reaching full maturity. All of this makes raised beds the worse option for ambitious gardeners. 

While swordplay can be traced back through millennia, modern fencing has little in common with medieval combat where swordsmen fought to the death.

If you’ve been researching two separate questions and theses, now’s the time to evaluate which one is most interesting, compelling, or appropriate for your assignment. Did one thesis completely fall apart when faced with the facts? Did one fail to turn up any legitimate sources or studies? Choose the stronger question or the more interesting (revised) thesis, and discard the other.

6. Get help from AI

To make the process even easier, you can take advantage of Wordtune's generative AI capabilities to craft an effective thesis statement. You can take your current thesis statement and try the paraphrase tool to get suggestions for better ways of articulating it. WordTune will generate a set of related phrases, which you can select to help you refine your statement. You can also use Wordtune's suggestions to craft the thesis statement. Write your initial introduction sentence, then click '+' and select the explain suggestion. Browse through the suggestions until you have a statement that captures your idea perfectly.

Thesis Check: Look for These Three Elements

At this point, you should have a thesis that will set up an original, compelling essay, but before you set out to write that essay, make sure your thesis contains these three elements:

• Topic: Your thesis should clearly state the topic of your essay, whether swashbuckling pirates, raised garden beds, or methods of snow removal.
• Position or angle: Your thesis should zoom into the specific aspect of your topic that your essay will focus on, and briefly but boldly state your position or describe your angle.
• Summary of evidence and/or argument: In a concise phrase or two, your thesis should summarize the evidence and/or argument your essay will present, setting up your readers for what’s coming without giving everything away.

The challenge for you is communicating each of these elements in a sentence or two. But remember: Your thesis will come at the end of your intro, which will already have done some work to establish your topic and focus. Those aspects don’t need to be over explained in your thesis — just clearly mentioned and tied to your position and evidence.

Let’s look at our examples from earlier to see how they accomplish this:

Notice how:

• The topic is mentioned by name. 
• The position or angle is clearly stated. 
• The evidence or argument is set up, as well as the assumptions or opposing view that the essay will debunk.

Both theses prepare the reader for what’s coming in the rest of the essay: 

• An argument to show that raised beds are actually a poor option for gardeners who want to grow thriving, healthy, resilient plants.
• An exposition of modern fencing in comparison with medieval sword fighting that shows how different they are.

Examine your refined thesis. Are all three elements present? If any are missing, make any additions or clarifications needed to correct it.

It’s Essay-Writing Time!

Now that your thesis is ready to go, you have the rest of your essay to think about. With the work you’ve already done to develop your thesis, you should have an idea of what comes next — but if you need help forming your persuasive essay’s argument, we’ve got a blog for that.

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Counting From Zero

Building a liberal arts cs program in the age of ubiquity.

Will AI write your thesis?

This fall, I was honored to serve as Whitman’s convocation speaker. When I agreed to speak, I had no idea what I would talk about, but by time I sat down to write it was obvious what question to ask. It was a fun speech to write, and as I learned more, I changed my conclusion several times. It was a fun speech to deliver, and I appreciate all those who laughed in the right places.

I’m so honored to be here today, standing before all of you as we begin a new academic year. 

This is a time of new beginnings and fresh starts. It’s a time to reflect on where we’ve been and where we’re going. It’s a time to set our sights high and dream big. 

We all have a part to play in shaping our future. Every day, we make choices that will impact our lives and the lives of those around us. I challenge each of you to make choices that will lead to a better future for all of us. 

I also challenge you to be a force for good in the world. There’s so much hurt and pain in the world, but each of us has the power to make a difference. We can start by reaching out to those who are different from us and learning from them. We can stand up for what’s right, even when it’s not easy. And we can show compassion and kindness, even when it’s not popular. 

So let’s make this a year of growth, a year of progress, and a year of making a difference. I can’t wait to see all that you will accomplish.

As you may have guessed, I didn’t write that speech. It was written by a machine learning system called GPT-3, which is available online through the OpenAI API Playground. I prompted GPT-3 to “write a convocation speech,” and I delivered that speech to you exactly as GPT-3 wrote it.

I first learned about GPT-3 last spring when a faculty candidate introduced it in her guest lecture. I’m pleased to say that we hired her. Her name is Jordan Wirfs-Brock, and this spring she will offer courses on Data Science and Human-Computer Interaction.

This summer , I had another encounter with GPT-3 at the meeting of the Computing Research Association. We were asked to consider the educational implications of GitHub Copilot, a tool based on GPT-3 that automatically generates code from natural language descriptions, for example, “sum all the numbers between 1 and 100.” 

After I returned from the meeting, I was assigned to review a research paper addressing that very question. The researchers found that, with minimal human intervention, “Copilot generates mostly unique code that can solve introductory [programming] assignments with human-graded scores ranging from 68% to 95%.” It’s kind of scary to think that a computer system can program about as well as the average introductory programming student. It also has important implications for how we teach introductory programming — not the least, ensuring that students have equal access to such tools and clear expectations for acknowledgment.

And so I was inspired to ask the question, “Will AI write your thesis?”

It’s not a question I would have asked until quite recently. I’m not an AI researcher; if anything I’m an AI skeptic. Like Jordan, my research is in the area of human-computer interaction. One of my goals as an educator is to help students think critically about new technologies.

It’s certainly not a question I would have asked when I was a student. I attended high school when the Internet was still an academic project, and people sent shareware programs on floppy disks through snail  mail. One of the shareware programs I received – as a free bonus with my other purchases – was a program called ELIZA. 

ELIZA is a conversational agent famously designed to simulate a psychotherapist. You type a sentence, then ELIZA responds with another sentence, and you respond with another sentence, and so on.

My conversations with ELIZA are lost to the mists of time. Instead, let me read you an example conversation from Joseph Weizenbaum’s 1966 article explaining how ELIZA works.

To start the conversation, the user types: Men are all alike.

ELIZA responds: IN WHAT WAY?

They’re always bugging us about something or other. CAN YOU THINK OF A SPECIFIC EXAMPLE? Well, my boyfriend made me come here. YOUR BOYFRIEND MADE YOU COME HERE? He says I’m depressed much of the time. I AM SORRY TO HEAR YOU ARE DEPRESSED. It’s true. I am unhappy. DO YOU THINK COMING HERE WILL HELP YOU NOT TO BE UNHAPPY? I need some help, that much seems certain. WHAT WOULD IT MEAN TO YOU IF YOU GOT SOME HELP? Maybe I could learn to get along with my mother. TELL MORE MORE ABOUT YOUR FAMILY. My mother takes care of me. WHO ELSE IN YOUR FAMILY TAKES CARE OF YOU? My father. YOUR FATHER? You are like my father in some ways. WHAT RESEMBLANCE DO YOU SEE? You are not very aggressive but I don’t think you want me to notice that.  WHAT MAKES YOU THINK I AM NOT VERY AGGRESSIVE? You don’t argue with me. WHY DO YOU THINK I DON’T ARGUE WITH YOU? You are afraid of me. DOES IT PLEASE YOU TO BELIEVE I AM AFRAID OF YOU? My father is afraid of everybody. WHAT ELSE COMES TO MIND WHEN YOU THINK OF YOUR FATHER? Bullies. DOES THAT HAVE ANYTHING TO DO WITH THE FACT THAT YOUR BOYFRIEND MADE YOU COME HERE?

Weizenbaum ends the example there, with the appearance of a striking insight.

I read Weizenbaum’s article during my senior year of college, in a course on artificial intelligence. For my final project, I implemented my own version of ELIZA using the programming language PERL. 

What I learned is that ELIZA is a straightforward rule-based system. The user input is tested against a collection of keywords. If a keyword matches, then a corresponding rule is used to transform the user’s input into ELIZA’s output. If no keyword matches, then ELIZA does one of two things. Either it makes a content-free response – for example, GO ON — or it returns to a topic from earlier in the conversation. This can lead to the appearance of striking insights, like the end of the conversation I just read to you.

Weizenbaum wrote that “some subjects have been very hard to convince that ELIZA is not human.” We tend to give conversational partners the benefit of the doubt, as long as they follow certain social norms. When I was in grad school, I learned that social psychology research has confirmed that when computers fill human roles, we tend to treat them as if they were human, even when we know they are not.

Weizenbaum found this phenomenon deeply concerning. One of his goals in writing about ELIZA was to attempt to dispel its “aura of magic.” “Important decisions,” he wrote, “increasingly tend to be made in response to computer output. The ultimately responsible human interpreter of ‘what the machine says’ is, not unlike the correspondent with ELIZA, constantly faced with the need to make credibility judgments. ELIZA shows, if nothing else, how easy it is to create and maintain the illusion of understanding…. A certain danger lurks there.” 

As easy as it is to misattribute intelligence to ELIZA’s responses, ELIZA could not have written the speech that GPT-3 did. In fact, my previous experiences with ELIZA and other text generation systems would have led me to say, “No way: AI could never write your thesis.” 

So what has changed since I was a college student? Three trends beginning with the dawn of computerization in the mid-twentieth century all took off together.

First, the availability of data has increased dramatically. When I started college in 1995, my first computer science class taught me how to use email, surf the web (yes, that’s what we said!), and create my own web page. Your parents will remember when you needed a phone line to access the internet – imagine having to log off Instagram every time your mom was expecting a phone call. Today, the web is everywhere. It provides incredible amounts of text and image data created by ordinary people — not only web sites, but social media from Twitter and Reddit to Instagram and YouTube.

Second, global computing power has increased tremendously. When he was in college, my husband worked as an intern on the Intel Paragon supercomputer, in its day the most powerful computer in the world. Today, an iPhone 11 is just as powerful. Add to that the development of computing clusters, where many computers work together on a shared problem, and the use of GPUs, to process large amounts of data in parallel. 

Third, to take advantage of all that computing power and all that naturally occurring data, over the last twenty years AI researchers have developed machine learning algorithms of increasing sophistication. For example, in 2012 Google Brain released the results of an experiment in which a neural network spanning a thousand computers was trained on ten million unlabeled images taken from YouTube. At the end, one of the top level neurons was found to respond strongly to images of human faces. Another responded to images of cats – which was why it came to be called The Cat Experiment. 

Of course, even more plentiful than images are texts, from Tweets to news stories to novels. The OpenAI company set out to apply similar techniques to the vast corpus of unlabeled text data from the Web. GPT-3 is their third and most successful attempt. 

I was curious what the acronym GPT stood for, and here is what I learned:

• “G” is for “Generative.” GPT-3 is an AI system that generates text, rather than categorizing a given text as happy or sad, or determining the gender of a character in a story, or other tasks an AI system might do.
• “P” is for “Pre-trained.” GPT-3 is pre-trained on unlabeled data from a wide range of sources. It could later be “fine-tuned” using labeled data to perform better on specific tasks. (By the way, if you’ve ever had to “select all the images containing a traffic light,” you’ve contributed to labeling image data for use in fine-tuning deep learning algorithms for use in self-driving cars.)
• “T” is for “Transformer,” a type of deep learning model designed to process unlabeled, sequential data such as text.

And so we have “Generative Pre-trained Transformer, version 3.” That’s as technical as this talk is going to get, and truthfully it has stretched the limits of my understanding. Fortunately my other new colleague, Parteek Kumar, will be teaching a Special Topics course on Machine Learning this spring, and we hope to offer such a course regularly in the future.

If anything, GPT-3 is far more magical than ELIZA ever was, because the inputs are so vast and its algorithms so obscure. Building GPT-3 took a team of 31 AI researchers, unimaginably beyond what I could have achieved as a senior in college.

So could GPT-3 write your thesis? Having wrestled with my fear that perhaps it could, in the end it seems clear that it could not write your thesis alone .

Here’s what scared me the most. While preparing this speech, I learned that GPT-3 was the first author on an academic paper about itself, currently under review for publication. 

But having used GPT-3 myself, I wondered what role was played by the article’s human co-authors. I found an essay in the June issue of Scientific American addressing this very question. 

Almira Osmanovic Thunström is a scientist who studies the role of artificial intelligence and virtual reality in mental health care. She found herself curious if GPT-3 could write about itself, so she asked it to respond to the following prompt: “Write an academic thesis in 500 words about GPT-3 and add scientific references and citations inside the text.” The quality of the result surprised her.

I had a similar experience. When I prompted GPT-3 to write a convocation speech, the verisimilitude of its first response surprised me. I was amazed that it was coherent and appropriate to the genre. The words are original; it’s not plagiarized. It even makes good use of grammatical parallelism. That is the response I read to you unedited, and truly what inspired me to write this speech. 

Thunström went on to use GPT-3 to write an entire academic paper. She gave GPT-3 a prompt for each section of the paper and selected the best of three responses, but refrained from any editing beyond that. 

It matters that Thunström allowed GPT-3 multiple chances to respond to her prompts. The developers of GPT-3 report among its limitations that in longer responses it can lose coherence, repeat itself, contradict itself, and insert non-sequiturs. When I prompted GPT-3 to write a second convocation speech, it wrote, “I am truly honored to be standing here before you as your President.” I decided not to read you that one. The third iteration wasn’t even a convocation speech, it was a graduation speech. I didn’t read you that one either. 

It also matters that neither Thunström nor I had any intention to pass off the words of GPT-3 as our own. I didn’t care if GPT-3’s commencement speech expressed sentiments that I share, because I intended to use it as a rhetorical device. Similarly, Thunström didn’t care if the paper written by GPT-3 was accurate; she wanted only to show that it could be done. She wonders what it will mean to respond to feedback from reviewers, when she receives it, because that seems beyond GPT-3’s capabilities.

As I reflected on Thunström’s experiment, I wondered, could GPT-3 have written an academic paper about itself before its creators published their research paper? I think the answer must be no. Only now that human beings have written about GPT-3, and those writings are included in its training data, can GPT-3 write about itself. 

While the commencement speech that GPT-3 wrote for me is original in one sense, it is highly derivative in another. I doubt that GPT-3 could write coherently on a topic that has never been addressed before.

As another experiment, I asked GPT-3 to summarize the last section of this speech. Here’s what it wrote: “In short, GPT-3 is a powerful AI tool that is capable of writing coherently on a variety of topics, but it is not yet able to write on topics that have never been addressed before.”

That is surprisingly not bad.

So will AI write your thesis? Although the question was worth asking, in the end I don’t think so. An AI might write a thesis, but it won’t write your thesis.

As you’ll learn in the first year seminar, while it’s important to write coherently, it’s still more important to ask good questions, read critically, and respond to feedback —- all things that AI can’t (yet) do.

If you do enlist the help of GPT-3 in your academic writing, make sure you adhere to OpenAI’s “Sharing and Publication Policy.” You must clearly indicate the role of AI in your work, as well as your editorial role. You must take full responsibility for any computer-generated text you publish, including any inaccuracy or bias. You should think carefully about what you hope to accomplish through the use of AI, and whether those ends are ethical. 

Like the developers of GPT-3, what scares me most is the use of AI text generation for bots, spam, phishing, and misinformation. AI can give us the illusion of intelligence, but it cannot be held accountable for that illusion. Only people can.

I’ll wrap up with one last quote from Weizenbaum. “ELIZA in its use so far has had as one of its principle objectives the concealment of its lack of understanding. But to encourage its conversational partner to offer inputs from which it can select remedial information, it must reveal its misunderstanding.” 

Weizenbaum was writing about a computer program, but the same applies to all of us. To learn, we must reveal our misunderstandings.

So, Whitties, here is my real charge to you as you enter your first year: Learn to ask good questions. Be brave, be curious, be vulnerable.

And if an AI does co-author your thesis, I hope I’ll be the first to know.

https://beta.openai.com/playground https://en.wikipedia.org/wiki/GPT-3 https://www.dataversity.net/brief-history-deep-learning/ https://www.ceros.com/inspire/originals/recaptcha-waymo-future-of-self-driving-cars/   https://www.scientificamerican.com/article/weasked-gpt-3-to-write-an-academic-paper-about-itself-mdash-then-we-tried-to-get-it-published/  

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3 thoughts on “ Will AI write your thesis? ”

Pingback: Will AI write your thesis? – Full-Stack Feed

hank you for addressing the intriguing topic of AI potentially writing academic theses. The advancements in AI technology have indeed opened up new possibilities, but it’s important to consider the implications and limitations of such automation.

I have a question: What are some of the ethical considerations surrounding AI-generated theses? Are there any concerns regarding originality, critical thinking, or the integrity of academic research when relying on AI for thesis writing?

It appears that your response was generated by AI due to the appearance of a rule-based format (series of 3) and slightly journalistic voice. Am I correct in this assumption? If so, well done :).

Also, your post seems to have been copied from elsewhere as evident by the missing “T” at the beginning of your post.

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Guidelines for use of AI-tools in the work on master theses

These guidelines apply to all master's theses at NHH from (and including) the spring semester 2024 and are intended to provide help and support in how tools based on generative AI can be used safely and effectively in the work on the master's thesis.

Introduction and delimination

By generative AI we mean systems based on "Large language models" that can be used to generate text, images, data, graphics, code, etc. "Ordinary" software that uses AI e.g. for proofreading, grammar checks, translations, etc. is generally not included in this definition. But there are obviously grey areas, and the dividing lines are becoming less clear as AI-based aids are increasingly included in standard software.  It is therefore not possible to draw a clear distinction between what is covered and what is not covered by these guidelines. However, the main principle that the user (student) is responsible for all content of the master's thesis will nevertheless apply to all variants of such aids.

NHH offers access to Sikt KI-chat , which is provided by SIKT – Norwegian Agency for Shared Services in Education and Research .  Sikt KI-chat is considered a "secure" chatbot, in that privacy considerations are safeguarded, and that data is not shared with others. If AI-based tools are to be used as a help in working with the thesis, it is recommended to use this one [1] . Further information about Sikt KI-chat and security issues related to the use of such tools more generally can be found on NHH Servicedesk .

[1] Please note that information about Sikt KI-chat is so far only given in Norwegian. However, once you log onto the chatbot, all information is in English.

Guidelines for students

When working on your master's thesis, you must pay special attention to the following guidelines:

• Basic rule – students are responsible for everything included in the thesis.  You are responsible for everything included in the master's thesis; this applies to text, data, graphics, illustrations, code, analyses, etc. AI-generated text should not be used directly, and if AI tools are used in the work on the thesis, you are still responsible for all submitted material.
• AI as a tool – permitted use of AI-based aids in the work on the master's thesis. AI tools can be helpful in various parts of the work on the master's thesis, such as generating ideas, structuring content, organising data, etc. It is permissible to use such tools as an aid in the work, but it must be emphasized that this is only an aid – you are responsible for assessing how tools and results can be used in a responsible and good way, and for ensuring a sufficient degree of critical reflection in all phases of the work.
• Ethics and privacy. Use of AI tools must always be done in an ethical manner and in accordance with research ethics guidelines. Confidential information and personal data should never be shared with AI tools. This applies to both own information and personal data collected in connection with the work on the master's thesis. See NHH Servicedesk for an overview of various types of personal data and use of AI tools. Note that even for Sikt KI-chat, which is considered a "secure" chatbot, there are clear limitations on what information should be shared.
• Limitations and risks of relying on AI-generated content. Generative AI may provide incorrect or false information, contain text from sources that cannot be included without reference, and which may thereby lead to plagiarism, and/or provide unbalanced, non-academic, or incomplete analyses. It is always the user who is responsible for ensuring that everything that is written is correct and in accordance with norms of research ethics. Pay particular attention to the risk of including text that comes from other sources and which would thereby be considered plagiarism without proper source references.
• Statement and references using AI tools. If AI tools are used in the work on the thesis, this must be clearly stated in the thesis. Such information shall consist of two parts:
• A statement on the use of AI tools when working on the thesis. This should be placed in conjunction with the reference list (see the templates for master theses) and have the following content:

AI tools that have been used in the work on this master's thesis:

Name (and version) of the AI tool: e.g. ChatGPT, 3.5 (or 4.0). (Write “None” if you have not used any AI-tools.)

The purpose of the use of the tool: e.g. used to organize data, data analysis, idea generation, etc.

If multiple tools have been used, they should all be listed in the same way . (If you are in doubt about which tools to include, it is better to include too much rather than too little.) 

The list is followed by this text: 

[I am/we are] aware that [I am/we are] responsible for all content of this master's thesis, including the parts where AI tools are used.  [I am/we are] responsible for ensuring that the thesis complies with ethical rules for privacy and publication.

• Referencing when using AI-generated content (but note the limitations given in section 1 above).  Several referencing styles have now included templates for referencing AI-generated content. The Library provides recommendations regarding how to refer to AI-generated content when using the APA reference style, see here for details. In short, referencing should be as follows:

• The role and responsibilities of the supervisor.  The supervisor can be a good help for the students in assessing permitted and good use of AI-based tools, and it is strongly recommended to discuss such questions with your supervisor. However, it is the students' responsibility to follow these guidelines; the supervisor can give advice but cannot take responsibility for compliance with the guidelines.  

Concluding Remarks

Remember that the master's thesis should first and foremost be an opportunity to apply the insight and knowledge you have acquired during your studies to a specific research question. AI tools, used wisely and responsibly in line with these guidelines, can at best be helpful in this endeavour, but it can never replace your own knowledge and insight. It is precisely the ability to apply this knowledge that you should demonstrate through your master's thesis and that you will be assessed on.

• Master's thesis

Examination Regulations

• Regulations for Full-time Study Programmes at the Norwegian School of Economics (NHH)

Your studies

Regulations for the use of ai tools in thesis work.

The examiner for your thesis determines the extent to which and how AI tools are allowed in your thesis work. It's important to note that this decision may vary among theses, even when they share the same examiner.

Consequently, you may have permission to employ AI tools for tasks such as generating text, code, and conducting data analysis, among other applications. However, this is contingent upon executing these tasks in a responsible and transparent manner, as outlined below.

You are required to assume full responsibility

You are required to assume full responsibility for your work and must be capable of justifying the choices you've made regarding its content. This includes engaging in discussions about and defending the role AI played in shaping your thesis, demonstrating a clear understanding of how it contributed. When using AI tools in your thesis work, it's crucial to approach them responsibly, which means ethically, ensuring data integrity and academic honesty. This involves:

• Being cautious of over-reliance on AI, which includes the risks of uncritically accepting AI-generated answers that can be biased or wrong. For example, do not uncritically accept a rewrite of your text, code, literature review, or analysis of your data.
• Understanding the potential for plagiarism and copyright infringements. For example, GitHub Copilot has used copyright protected code when helping programmers to code, so always be vary of such problems.
• That the use of AI tools must be clear and transparent. At a minimum, provide a description detailing how and to what extent AI tools have been utilized in your work. If you have used AI generated content in you thesis, this should be cited as other works.
• Recognizing the need to secure sensitive or proprietary information. For example, you might have access to valuable information in the organization you are writing your thesis and sharing it with the AI tool might not be advisable.

Always consult with your supervisor

Always consult with your Chalmers’ supervisor or relevant industry/public sector collaborators before using AI tools if you have any uncertainties, particularly concerning data privacy and ethical issues. To date, Chalmers has licensing agreements in place with Bing Chat Enterprise, which include privacy arrangements.

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Artificial Intelligence

Thesis project.

In the final thesis project, the student carries out a research project under the supervision of one of the staff members of the research groups offering the AI programme. The project can be done based at Utrecht University, at a company or research institute, or at a foreign university (see also: ‘ stay abroad - traineeship ’).

Before starting the thesis project students are strongly advised to first attend the thesis information session meeting, which is offered at the start of each teaching period. See course INFOMTIMAI for more info .

When looking for a project, please check the following sources.

• Konjoin always has a number of AI projects.
• Jobteaser also has interesting external internships for AI students.

General description

The AI Thesis Project is split into a 14 EC project proposal phase (INFOMAI1) and a 30 EC thesis phase (INFOMAI2). The thesis project takes about 8 months (three periods). The set up phase that is necessary to arrange your project is not counted. 

The thesis project consists of a project idea, a UU graduation supervisor, and a graduation project facilitator. The project facilitator can either be a company or the University. Original ideas from the students are welcome, as long as they are aligned with the research interests and/or proposed projects by the supervisors. 

For a thesis project, the student always needs a supervisor from one of the research groups of the UU offering the AI programme. If the final project is conducted within a company or external institute, both a local supervisor within the company/institute and a supervisor of the AI programme teaching staff monitor and guide the student. 

When can a thesis be started? When all courses are successfully completed, with the exception of Dilemmas of the Scientist (FI-MHPSDL1 and FI-MHPSDL2), for which you can do the second workshop (FI-MHPSDL2) during your theses process. Further exceptions can be given by the AI programme coordinator for students with one pending course. Note that you should start looking for a supervisor and a subject before you have finished all your courses (see “Set Up” below). 

Where do I start? Read the information on the various stages of the thesis project below. If you have any questions not covered here contact the programme coordinator  ( [email protected] ). 

How long does the thesis take? Normally, a thesis project (phase 1 + phase 2) runs for 3 periods/terms (see the schedules). However, holidays, courses or other activities may lead to a thesis projects that takes slightly longer. Please Please see below what to do when your thesis is delayed and you have to apply for a thesis deadline extension (part 1 and/or part 2) 

Previous theses. To get an overview of what an AI thesis looks like, you can consult previous theses online . 

Learning goals. After completing your thesis project, you will:

• have advanced knowledge about a specific subject within AI
• be able to findings on a specific subject within the broader, interdisciplinary field of AI
• be able to independently perform a critical literature study
• be able to formulate a research question of interest to AI and a plan / method to answer this research question
• be able to perform scientific research according to a predetermined plan and a standard method within AI
• be able to report the research findings in the form of a scientific thesis
• be able to report the research findings by means of an oral presentation

This preliminary step is executed before the official start of Phase 1. The duration largely depends on how quickly a supervisor is found and a topic is agreed upon. This part is excluded from the duration of the thesis project. 

1. Find a project and a supervisor   You can do an external or an internal (UU) project. The following tips might come in handy when looking for a project. 

• Think about the courses you found interesting and ask the lecturers of these courses if they have/know of any projects.
• Jobteaser also has interesting external internships for AI students. 

Note that any topic has to be agreed with the UU staff member who will act as a first supervisor. Arrange meetings with staff members to discuss possible options, based on their research interests (look at their webpages, their Google Scholar profile, or ask the Programme Coordinator ( [email protected] ). If unsure about possible topics, please arrange a meeting with the Programme coordinator. Students can also try to arrange a project that fits within an internship with a company. Any project, however, requires a first supervisor from the department who guarantees the scientific quality of the thesis project, so it is advisable to talk to potential supervisors and/or the graduation coordinator before agreeing on an internship. 

2. Define your project  Together with the first supervisor, describe your project's title, problem, aims, and research goals. Come up with a short textual description (about 200 words). Also make clear arrangements with your first supervisor concerning planning, holidays, supervision meetings and so forth. Please make sure you have a clear understanding with your first supervisor regarding deadlines and extra work, holidays etc. to be done during the thesis project. Normally, a thesis project runs for 3 periods/terms, but you can set any reasonable deadline in agreement with your supervisor. Please see below what to do when your thesis is delayed and you have to apply for a thesis deadline extension (part 1 and/or part 2).

3. Ensure adherence to Ethics and Privacy regulations -  Quick Scan From Period 2 of 2022-23, all Master AI thesis projects require ethics and privacy approval. For projects that do not involve human users and data privacy issues this will be a very brief and straightforward process, but you still need to complete an ethics checklist. If you are doing your project with a supervisor in a department that already has ethics approval process in place (such as Cognitive Psychology), then ask the supervisor what you need to do in order to obtain ethics approval. Otherwise, please inform your supervisor that you need to obtain an ethics and privacy approval. Go to the website that contains the ethics checklist and sample Information sheets and consent forms:  https://www.uu.nl/en/research/institute-of-information-and-computing-sciences/ethics-and-privacy . First, download the Word form and discuss how to fill it in with your supervisor. Then fill in the Qualtrics form. Please fill in as the moderator email: [email protected] .

4. Work placement agreement If you conduct a project outside UU, the GSNS Work Placement Agreement (WPA)  should be filled in, and signed by the student, company supervisor, and the Science Research Project Coordinator . Deviations to the standard contract shall be discussed with the Science Research Project Coordinator. 

You need to fill out and upload your WPA with your Research Project application form (see next step) in OSIRIS student.

5. Formalize the start of your Research Project via submitting the Research Project application form  

Use Osiris student  (select 'MyCases', 'Start Case', ‘Research Project GSNS’) to submit your research project application form; if applicable, you will also upload the signed Work Placement Agreement with your application form in OSIRIS. 

Important: in order to apply completely and correctly, you must have discussed the project setup with your intended project supervisor beforehand! We advise you to study the request form previous to discussing it with your supervisor, or fill it out together, to make sure you obtain all of the information required. 

After submitting your application form in OSIRIS, your form will be forwarded to your 1st and 2nd Examiner (supervisors), master’s programme coordinator, the Board of Examiners and Student Affairs for checks and approvals. You may be asked for modifications, should they find any problems with the form. 

Please note. You cannot register yourself in OSIRIS for the relevant research project courses (INFOMAI1 and INFOMAI2). You will be automatically registered for part 1 of the project upon approval of the Research Project Application Form.

Phase 1 - Project proposal

The phase comprises 14 EC (i.e. 10 weeks of full-time work) and is intended for you to do a preliminary study (usually in the form of literature study), and to propose and plan your research. Importantly, this phase will give a go/no-go decision towards Phase-2. You are expected to deliver a research proposal consisting of the following: 

• A literature study section, summarizing works that are relevant to your research. 
• Well formulated research question(s). 
• A plan for the second part of the thesis.

Additionally, depending on the nature of the project, your supervisor may require you to perform some initial research work in Phase-1, either in order to provide a convincing argument towards the prospect and feasibility of your Phase-2, or for efficiency to already do some work of Phase-2, e.g. developing an initial theory or building a first prototype of an algorithm. If such work is required, make an agreement with your supervisor on the scope of this work. 

At the end of Phase-1 the supervisor(s) will make a go/no-go decision. This decision, in terms of pass or not pass, will be entered in Osiris. Phase-1 assessment criteria: 

• Scientific quality. This concerns the quality of the literature study, the relevance and impact of the research questions, the merit of proposed research method. 
• Writing skills. This concerns the quality of your writing, use of English, textual structure, and coherence/consistency of your text. 
• Planning. This concerns the clarity and feasibility of the proposed planning. 
• The quality of additional work, if such is required.

An  example assessment form  with more detailed criteria is available. Please use this form only as a discussion piece and do not send in paper or scanned forms.

Phase 2 - Thesis

The second part comprises 30EC (i.e. 21 weeks full-time). You will complete (at least) the following items: 

• Perform and complete your research according to your plan (Phase 1). 
• Write your thesis that presents your research and its results. 
• Present and defend your results and conclusion. You are asked to prepare a presentation about your research that is understandable by fellow students. The defence will be 45 minutes long; 30 minutes for your presentation, and 15 minutes for questions. 

Content of the thesis.  In addition to the main text describing the research, the master thesis should at least contain: 

• a front page, containing: name of the student, name of the supervisors, student number, date, name of the program (master Artificial Intelligence, Utrecht University); 
• an abstract; 
• an introduction and a conclusion;  
• a brief discussion of the relevance of the thesis topic for the field of AI; 
• a list of references.   

Please discuss the exact requirements for your thesis with your daily supervisor/first examiner at the beginning of your project.  

Phase-2 assessment criteria.  Your thesis is assessed using the following criteria: 

• Project process (30%). This concerns your ability to work independently, to take initiative, to position your work in a broader context, to adapt to new requirements and developments, and to finish the thesis on time. 
• Project report (30%). This concerns the ability to clearly formulate problems, to summarize the results, to compare them with related scientific work elsewhere, and to suggest future research lines. This also concerns clear, consistent, and unambiguous use of language in the thesis. The text should give the readers confidence in that you understand the chronology, structure, and logical entities in your own text; and thus know what you write. 
• Project results (30%). This concerns the level and importance of your results. Are the results publishable as a scientific paper? The difficulty of the problem that you solve also plays an important role, as well as the amount/extent of the work you carry out. These are aspects that are important: the effectiveness of the chosen approach, completeness and preciseness of the literature study, arguments for the choices made, insight in the limitations of the chosen approach, proper interpretation of the results achieved, level of abstraction, convincing argument, proofs or statistical analysis. 
• Project presentation (10%). The ability to orally present your project and its results clearly and concisely. 

An  example assessment form  with more detailed criteria is available. Please use this form only as a discussion piece and do not send in paper or scanned forms. 

Phase 2 - Wrap up

When approaching the finalization of the thesis (i.e, when the supervisors think so), it is time to wrap up the project and graduate. 

• Set date for graduation presentation : both supervisors should agree on the date, including the time. 

Arrange (virtual) room for defence : The public defence can take place in Teams. If desired by the candidate and/or the supervisors, you can also defend your thesis in a lecture room on campus, ideally with a livestream or in a hybrid form so that e.g. fellow students or friends can also watch online. You can make a Teams meeting yourself, and send an e-mail to the secretariat ( [email protected] ) to arrange for a suitable room for your presentation. Please make sure to include the time, date, name of the thesis, supervisor, and the number of expected attendees. 

Inform the AI coordinator  ( [email protected] ) about the details of your defence (title, abstract, date, time, room and/or Teams link). The coordinator will announce the defence on Teams and via the mailing list. 

Thesis defence : the student gives a presentation of 30 minutes, followed by a question-and-answer session that typically lasts about 15-20 minutes. Your first and second supervisor will decide on your grade and announce this after your presentation. 

Upload thesis  to Osiris Student:  After the defence, the student must  upload the final version of their thesis through Osiris Student > my cases . 

Archiving and publishing thesis to Thesis Archive You will be asked once more to upload the final version of your thesis through OSIRIS Student, yet, this time this is for archiving and publishing purposes. The Case will not be available by default via OSIRIS Student. You will receive an email as soon as the Case in OSIRIS Student is available to you. More information on thesis archiving and publication can be found here . 

Graduation checks and ceremony

The Student Desk at Student Affairs keeps track of your study progress in Osiris. When Osiris indicates that you have completed all the required elements of your degree your file is forwarded to the Board of Examiners. These checks only occur around the 15th of each month. Therefore, do you wish to graduate by the end of the month, please ensure you have completed all elements of your degree before the 15th of the month so all your credits are registered in OSIRIS. This also includes the uploads of your final thesis.  

The Board of Examiners then checks whether you meet all examination requirements. Following the Board's approval your graduation date will be emailed to you on your UU email account.  

Please DO NOT terminate your enrolment in Studielink until the Student Desk has informed you about the decision of the Board of Examiners and you have received your graduation date. For further information, please check the graduation  page.

What to do when your research project is delayed and a Research Project deadline extension is required?

Please note that the “protocol delay in graduation” applies when a project is delayed. This protocol can be found in appendix 2 of the Education and Examination Regulations .

• When you are delayed, e.g., due to personal circumstances or due to unforeseen circumstances within the project, it is important that you make an appointment with your study advisor in time (before the final deadline of part 1 and/or part 2).  
• It is further important that you discuss the delay with your supervisor and set new realistic goals and deadlines (where possible).  
• Next, you need to apply through OSIRIS Student > ‘MyCases’ > 'Start Case' > ‘Request to the Board of Examiners GSNS’, and then choose the appropriate request type: “Delay of research or thesis project”. It is important that you upload a statement from the study advisor (hence why the importance to speak to your study advisor as soon as possible when a delay occurs) and a copy of an email in which the supervisors support the request for a deadline extension. You further need to include a proposed new deadline and short statement support your request.

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• Dissertation & Thesis Outline | Example & Free Templates

Dissertation & Thesis Outline | Example & Free Templates

Published on June 7, 2022 by Tegan George . Revised on November 21, 2023.

A thesis or dissertation outline is one of the most critical early steps in your writing process . It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding the specifics of your dissertation topic and showcasing its relevance to your field.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

In the final product, you can also provide a chapter outline for your readers. This is a short paragraph at the end of your introduction to inform readers about the organizational structure of your thesis or dissertation. This chapter outline is also known as a reading guide or summary outline.

Table of contents

How to outline your thesis or dissertation, dissertation and thesis outline templates, chapter outline example, sample sentences for your chapter outline, sample verbs for variation in your chapter outline, other interesting articles, frequently asked questions about thesis and dissertation outlines.

While there are some inter-institutional differences, many outlines proceed in a fairly similar fashion.

• Working Title
• “Elevator pitch” of your work (often written last).
• Introduce your area of study, sharing details about your research question, problem statement , and hypotheses . Situate your research within an existing paradigm or conceptual or theoretical framework .
• Subdivide as you see fit into main topics and sub-topics.
• Describe your research methods (e.g., your scope , population , and data collection ).
• Present your research findings and share about your data analysis methods.
• Answer the research question in a concise way.
• Interpret your findings, discuss potential limitations of your own research and speculate about future implications or related opportunities.

For a more detailed overview of chapters and other elements, be sure to check out our article on the structure of a dissertation or download our template .

To help you get started, we’ve created a full thesis or dissertation template in Word or Google Docs format. It’s easy adapt it to your own requirements.

 Download Word template    Download Google Docs template

It can be easy to fall into a pattern of overusing the same words or sentence constructions, which can make your work monotonous and repetitive for your readers. Consider utilizing some of the alternative constructions presented below.

Example 1: Passive construction

The passive voice is a common choice for outlines and overviews because the context makes it clear who is carrying out the action (e.g., you are conducting the research ). However, overuse of the passive voice can make your text vague and imprecise.

Example 2: IS-AV construction

You can also present your information using the “IS-AV” (inanimate subject with an active verb ) construction.

A chapter is an inanimate object, so it is not capable of taking an action itself (e.g., presenting or discussing). However, the meaning of the sentence is still easily understandable, so the IS-AV construction can be a good way to add variety to your text.

Example 3: The “I” construction

Another option is to use the “I” construction, which is often recommended by style manuals (e.g., APA Style and Chicago style ). However, depending on your field of study, this construction is not always considered professional or academic. Ask your supervisor if you’re not sure.

Example 4: Mix-and-match

To truly make the most of these options, consider mixing and matching the passive voice , IS-AV construction , and “I” construction .This can help the flow of your argument and improve the readability of your text.

As you draft the chapter outline, you may also find yourself frequently repeating the same words, such as “discuss,” “present,” “prove,” or “show.” Consider branching out to add richness and nuance to your writing. Here are some examples of synonyms you can use.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

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When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

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The On-Campus and Online versions of Purdue OWL assist clients in their development as writers—no matter what their skill level—with on-campus consultations, online participation, and community engagement. The Purdue OWL serves the Purdue West Lafayette and Indianapolis campuses and coordinates with local literacy initiatives. The Purdue OWL offers global support through online reference materials and services.

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Master's in Data Science

The Data Science master's program, jointly led by the  Computer Science  and  Statistics  faculties, trains students in the rapidly growing field of data science. 

Data Science lies at the intersection of statistical methodology, computational science, and a wide range of application domains.  The program offers strong preparation in statistical modeling, machine learning, optimization, management and analysis of massive data sets, and data acquisition.  The program focuses on topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science.

To earn the Master of Science in Data Science, students must complete 12 courses. This requires students to be on campus for at least 3 semesters (one and a half academic years). Some students will choose to extend their studies for a fourth semester to take additional courses or complete a master’s thesis research project.

SEAS will be hosting virtual information sessions this Fall for students interested in the Data Science program. Registration for these sessions is available on the  Admissions Events page for prospective graduate students .

What should a graduate of the Data Science program be able to do?

The design of the program is based on eleven learning outcomes developed through discussions between the computer science and statistics faculty:

Build statistical models and understand their power and limitations

Design an experiment

Use machine learning and optimization to make decisions

Acquire, clean, and manage data

Visualize data for exploration, analysis, and communication

Collaborate within teams

Deliver reproducible data analysis

Manage and analyze massive data sets

Assemble computational pipelines to support data science from widely available tools

Conduct data science activities aware of and according to policy, privacy, security and ethical considerations

Apply problem-solving strategies to open-ended questions

Financing Your Degree

Students typically finance their master’s degree program with a combination of loans, savings, family support, grants (from governments, foundations and companies), fellowships and scholarships. We recommend you visit the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (Harvard Griffin GSAS)  Funding and Financial Aid  website prior to your application to learn more about your options.

Teaching Fellowships

Approximately 15% of our students are paid Teaching Fellows, usually in the second year. TFing in the first semester is highly unusual. Teaching compensation is paid out at Harvard graduate student rates.

Master's in Data Science Leadership

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Updated : 6 June 2024 Contributor : Jim Holdsworth

Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language. 

NLP enables computers and digital devices to recognize, understand and generate text and speech by combining computational linguistics—the rule-based modeling of human language—together with statistical modeling,  machine learning (ML)  and deep learning. 

NLP research has enabled the era of generative AI, from the communication skills of large language models (LLMs) to the ability of image generation models to understand requests. NLP is already part of everyday life for many, powering search engines, prompting chatbots for customer service with spoken commands, voice-operated GPS systems and digital assistants on smartphones. NLP also plays a growing role in enterprise solutions that help streamline and automate business operations, increase employee productivity and simplify mission-critical business processes.

Use this model selection framework to choose the most appropriate model while balancing your performance requirements with cost, risks and deployment needs.

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A natural language processing system can work rapidly and efficiently: after NLP models are properly trained, it can take on administrative tasks, freeing staff for more productive work. Benefits can include:

Faster insight discovery : Organizations can find hidden patterns, trends and relationships between different pieces of content. Text data retrieval supports deeper insights and analysis, enabling better-informed decision-making and surfacing new business ideas.

Greater budget savings : With the massive volume of unstructured text data available, NLP can be used to automate the gathering, processing and organization of information with less manual effort.

Quick access to corporate data : An enterprise can build a knowledge base of organizational information to be efficiently accessed with AI search. For sales representatives, NLP can help quickly return relevant information, to improve customer service and help close sales.

NLP models are not perfect and probably never will be, just as human speech is prone to error. Risks might include:

Biased training :  As with any AI function, biased data used in training will skew the answers. The more diverse the users of an NLP function, the more significant this risk becomes, such as in government services, healthcare and HR interactions. Training datasets scraped from the web, for example, are prone to bias.

Misinterpretation : As in programming, there is a risk of garbage in, garbage out (GIGO). NLP solutions might become confused if spoken input is in an obscure dialect, mumbled, too full of slang, homonyms, incorrect grammar, idioms, fragments, mispronunciations, contractions or recorded with too much background noise.

New vocabulary: New words are continually being invented or imported. The conventions of grammar can evolve or be intentionally broken. In these cases, NLP can either make a best guess or admit it’s unsure—and either way, this creates a complication.

Tone of voice : When people speak, their verbal delivery or even body language can give an entirely different meaning than the words alone. Exaggeration for effect, stressing words for importance or sarcasm can be confused by NLP, making the semantic analysis more difficult and less reliable.

Human language is filled with many ambiguities that make it difficult for programmers to write software that accurately determines the intended meaning of text or voice data. Human language might take years for humans to learn—and many never stop learning. But then programmers must teach natural language-driven applications to recognize and understand irregularities so their applications can be accurate and useful.

NLP combines the power of computational linguistics together with machine learning algorithms and deep learning. Computational linguistics is a discipline of linguistics that uses data science to analyze language and speech. It includes two main types of analysis: syntactical analysis and semantical analysis. Syntactical analysis determines the meaning of a word, phrase or sentence by parsing the syntax of the words and applying preprogrammed rules of grammar. Semantical analysis uses the syntactic output to draw meaning from the words and interpret their meaning within the sentence structure. 

The parsing of words can take one of two forms. Dependency parsing looks at the relationships between words, such as identifying nouns and verbs, while constituency parsing then builds a parse tree (or syntax tree): a rooted and ordered representation of the syntactic structure of the sentence or string of words. The resulting parse trees underly the functions of language translators and speech recognition. Ideally, this analysis makes the output—either text or speech—understandable to both NLP models and people.

Self-supervised learning (SSL) in particular is useful for supporting NLP because NLP requires large amounts of labeled data to train state-of-the-art artificial intelligence (AI) models . Because these labeled datasets require time-consuming annotation—a process involving manual labeling by humans—gathering sufficient data can be prohibitively difficult. Self-supervised approaches can be more time-effective and cost-effective, as they replace some or all manually labeled training data. Three different approaches to NLP include:

Rules-based NLP : The earliest NLP applications were simple if-then decision trees, requiring preprogrammed rules. They are only able to provide answers in response to specific prompts, such as the original version of Moviefone. Because there is no machine learning or AI capability in rules-based NLP, this function is highly limited and not scalable.

Statistical NLP : Developed later, statistical NLP automatically extracts, classifies and labels elements of text and voice data, and then assigns a statistical likelihood to each possible meaning of those elements. This relies on machine learning, enabling a sophisticated breakdown of linguistics such as part-of-speech tagging. Statistical NLP introduced the essential technique of mapping language elements—such as words and grammatical rules—to a vector representation so that language can be modeled by using mathematical (statistical) methods, including regression or Markov models. This informed early NLP developments such as spellcheckers and T9 texting (Text on 9 keys, to be used on Touch-Tone telephones).

Deep learning NLP : Recently, deep learning models have become the dominant mode of NLP, by using huge volumes of raw, unstructured data—both text and voice—to become ever more accurate. Deep learning can be viewed as a further evolution of statistical NLP, with the difference that it uses neural network models. There are several subcategories of models:

• Sequence-to-Sequence (seq2seq) models : Based on recurrent neural networks (RNN) , they have mostly been used for machine translation by converting a phrase from one domain (such as the German language) into the phrase of another domain (such as English).
• Transformer models : They use tokenization of language (the position of each token—words or subwords) and self-attention (capturing dependencies and relationships) to calculate the relation of different language parts to one another. Transformer models can be efficiently trained by using self-supervised learning on massive text databases. A landmark in transformer models was Google’s bidirectional encoder representations from transformers (BERT), which became and remains the basis of how Google’s search engine works.
• Autoregressive models : This type of transformer model is trained specifically to predict the next word in a sequence, which represents a huge leap forward in the ability to generate text. Examples of autoregressive LLMs include GPT, Llama , Claude and the open-source Mistral.
• Foundation models : Prebuilt and curated foundation models can speed the launching of an NLP effort and boost trust in its operation. For example, the IBM Granite™ foundation models are widely applicable across industries. They support NLP tasks including content generation and insight extraction. Additionally, they facilitate retrieval-augmented generation, a framework for improving the quality of response by linking the model to external sources of knowledge. The models also perform named entity recognition which involves identifying and extracting key information in a text.

For a deeper dive into the nuances between multiple technologies and their learning approaches, see “ AI versus. machine learning versus deep learning versus neural networks: What’s the difference? ”

Several NLP tasks typically help process human text and voice data in ways that help the computer make sense of what it’s ingesting. Some of these tasks include:

Linguistic tasks

• Coreference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (such as, “she” = “Mary”). But it can also identify a metaphor or an idiom in the text (such as an instance in which “bear” isn’t an animal, but a large and hairy person).
• Named entity recognition  ( NER ) identifies words or phrases as useful entities. NER identifies “London” as a location or “Maria” as a person's name.
• Part-of-speech tagging , also called grammatical tagging, is the process of determining which part of speech a word or piece of text is, based on its use and context. For example, part-of-speech identifies “make” as a verb in “I can make a paper plane,” and as a noun in “What make of car do you own?”
• Word sense disambiguation is the selection of a word meaning for a word with multiple possible meanings. This uses a process of semantic analysis to examine the word in context. For example, word sense disambiguation helps distinguish the meaning of the verb “make” in “make the grade” (to achieve) versus “make a bet” (to place). Sorting out “I will be merry when I marry Mary” requires a sophisticated NLP system.

User-supporting tasks

• Speech recognition , also known as speech-to-text , is the task of reliably converting voice data into text data. Speech recognition is part of any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people speak—quickly, running words together, with varying emphasis and intonation.
• Natural language generation (NLG) might be described as the opposite of speech recognition or speech-to-text: NLG is the task of putting structured information into conversational human language. Without NLG, computers would have little chance of passing the Turing test , where a computer tries to mimic a human conversation. Conversational agents such as Amazon’s Alexa and Apple’s Siri are already doing this well and assisting customers in real time.
• Natural language understanding (NLU) is a subset of NLP that focuses on analyzing the meaning behind sentences. NLU enables software to find similar meanings in different sentences or to process words that have different meanings.
• Sentiment analysis  attempts to extract subjective qualities —attitudes, emotions, sarcasm, confusion or suspicion—from text. This is often used for routing communications to the system or the person most likely to make the next response.

See the blog post “ NLP vs. NLU vs. NLG: the differences between three natural language processing concepts ” for a deeper look into how these concepts relate.

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Organizations can use NLP to process communications that include email, SMS, audio, video, newsfeeds and social media. NLP is the driving force behind AI in many modern real-world applications. Here are a few examples:

• Customer assistance : Enterprises can deploy chatbots or virtual assistants to quickly respond to custom questions and requests. When questions become too difficult for the chatbot or virtual assistant, the NLP system moves the customer over to a human customer service agent. Virtual agents such as IBM watsonx™ Assistant , Apple’s Siri and Amazon’s Alexa use speech recognition to recognize patterns in voice commands and natural language generation to respond with appropriate actions or helpful comments. Chatbots respond to typed text entries. The best chatbots also learn to recognize contextual clues about human requests and use them to provide even better responses or options over time. The next enhancement for these applications is question answering, the ability to respond to questions—anticipated or not—with relevant and helpful answers in their own words. These automations help reduce costs, save agents from spending time on redundant queries and improve customer satisfaction. Not all chatbots are powered by AI, but state-of-the-art chatbots increasingly use conversational AI techniques, including NLP, to understand user questions and automate responses to them.
• FAQ : Not everyone wants to read to discover an answer. Fortunately, NLP can enhance FAQs: When the user asks a question, the NLP function looks for the best match among the available answers and brings that to the user’s screen. Many customer questions are of the who/what/when/where variety, so this function can save staff from having to repeatedly answer the same routine questions.
• Grammar correction : The rules of grammar can be applied within word processing or other programs, where the NLP function is trained to spot incorrect grammar and suggest corrected wordings.
• Machine translation:  Google Translate is an example of widely available NLP technology at work. Truly useful machine translation involves more than replacing words from one language with words of another. Effective translation accurately captures the meaning and tone of the input language and translates it to text with the same meaning and desired impact in the output language. Machine translation tools are becoming more accurate. One way to test a machine translation tool is to translate text from one language and then back to the original. An oft-cited, classic example: Translating “ The spirit is willing, but the flesh is weak” from English to Russian and back again once yielded, “ The vodka is good, but the meat is rotten .” Recently, a closer result was “ The spirit desires, but the flesh is weak. ” Google translate can now take English to Russian to English and return the original, “ The spirit is willing, but the flesh is weak."        
• Redaction of personally identifiable information (PII) : NLP models can be trained to quickly locate personal information in documents that might identify individuals. Industries that handle large volumes of sensitive information—financial, healthcare, insurance and legal firms—can quickly create versions with the PII removed.
• Sentiment analysis : After being trained on industry-specific or business-specific language, an NLP model can quickly scan incoming text for keywords and phrases to gauge a customer’s mood in real-time as positive, neutral or negative. The mood of the incoming communication can help determine how it will be handled. And the incoming communication doesn’t have to be live: NLP can also be used to analyze customer feedback or call center recordings. Another option is an NLP API that can enable after-the-fact text analytics. NLP can uncover actionable data insights from social media posts, responses or reviews to extract attitudes and emotions in response to products, promotions and events. Information companies can use sentiment analysis in product designs, advertising campaigns and more.
• Spam detection:  Many people might not think of spam detection as an NLP solution, but the best spam detection technologies use NLP’s text classification capabilities to scan emails for language indicating spam or phishing. These indicators can include overuse of financial terms, characteristic bad grammar, threatening language, inappropriate urgency or misspelled company names.
• Text generation : NLP helps put the “generative” into generative AI. NLP enables computers to generate text or speech that is natural-sounding and realistic enough to be mistaken for human communication. The generated language might be used to create initial drafts of blogs, computer code, letters, memos or tweets. With an enterprise-grade system, the quality of generated language might be sufficient to be used in real time for autocomplete functions, chatbots or virtual assistants. Advancements in NLP are powering the reasoning engine behind generative AI systems, driving further opportunities. Microsoft® Copilot is an AI assistant designed to boost employee productivity and creativity across day-to-day tasks and is already at work in tools used every day.  
• Text summarization: Text summarization uses NLP techniques to digest huge volumes of digital text and create summaries and synopses for indexes, research databases, for busy readers who don't have time to read the full text. The best text summarization applications use semantic reasoning and natural language generation (NLG) to add useful context and conclusions to summaries.
• Finance : In financial dealings, nanoseconds might make the difference between success and failure when accessing data, or making trades or deals. NLP can speed the mining of information from financial statements, annual and regulatory reports, news releases or even social media.
• Healthcare : New medical insights and breakthroughs can arrive faster than many healthcare professionals can keep up. NLP and AI-based tools can help speed the analysis of health records and medical research papers, making better-informed medical decisions possible, or assisting in the detection or even prevention of medical conditions.
• Insurance : NLP can analyze claims to look for patterns that can identify areas of concern and find inefficiencies in claims processing—leading to greater optimization of processing and employee efforts.
• Legal : Almost any legal case might require reviewing mounds of paperwork, background information and legal precedent. NLP can help automate legal discovery, assisting in the organization of information, speeding review and helping ensure that all relevant details are captured for consideration.

Python and the Natural Language Toolkit (NLTK)

The Python programing language provides a wide range of tools and libraries for performing specific NLP tasks. Many of these NLP tools are in the Natural Language Toolkit , or NLTK, an open-source collection of libraries, programs and education resources for building NLP programs.

The NLTK includes libraries for many NLP tasks and subtasks, such as sentence parsing , word segmentation , stemming and lemmatization (methods of trimming words down to their roots), and tokenization (for breaking phrases, sentences, paragraphs and passages into tokens that help the computer better understand the text). It also includes libraries for implementing capabilities such as semantic reasoning: the ability to reach logical conclusions based on facts extracted from text. Using NLTK, organizations can see the product of part-of-speech tagging. Tagging words might not seem to be complicated, but since words can have different meanings depending on where they are used, the process is complicated.

Generative AI platforms

Organizations can infuse the power of NLP into their digital solutions by leveraging user-friendly generative AI platforms such as IBM Watson NLP Library for Embed , a containerized library designed to empower IBM partners with greater AI capabilities. Developers can access and integrate it into their apps in their environment of their choice to create enterprise-ready solutions with robust AI models, extensive language coverage and scalable container orchestration.

More options include IBM ® watsonx.ai™ AI studio , which enables multiple options to craft model configurations that support a range of NLP tasks including question answering, content generation and summarization, text classification and extraction. Integrations can also enable more NLP capabilities. For example, with watsonx and Hugging Face AI builders can use pretrained models to support a range of NLP tasks.

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