Whereas general problem-solving processes are very similar between different disciplines and reflect human problem solving ( Simon and Newell, 1971 ), each discipline implements these processes in a field-specific manner. Since chemistry problems require specific terminology and ways of prompting, instructional approaches need to foster discipline-specific problem-solving process skills.
Scaffolding.
A critical component of scaffolding is prompting . Prompts, embedded within learning environments, are seen by students as integral, not additional, structural elements ( Horz et al. , 2009 ). Successful prompts direct student attention to important information they may have overlooked, facilitate awareness of potential knowledge gaps, help them organise their thoughts, make their thinking “visible”, and recognise a need to evaluate the validity of their solutions ( Ge and Land, 2003 ). Guiding-through-questions, or Socratic questioning , effectively stimulates rational and logical thinking and reasoning and structures a problem-solving process. It promotes reflection and improves problem-solving skills ( Ge and Land, 2003 ; Rhee, 2007 ). Question prompts convey transcendent messages about what is important in problem solving, e.g. a question “what are you asked to determine?” conveys a message about the need to identify the goal ( Herron, 1996b ).
Self-regulated learning (SRL) represents proactive processes used by students to set goals, select and implement strategies, and self-monitor their effectiveness ( Zimmerman and Pons, 1986 ; Pintrich et al. , 1991 ; Zimmerman, 2008 ; Low and Jin, 2012 ). SRL is characterised by personal initiative, perseverance, and adaptive skill ( Zimmerman, 2008 ) and involves metacognitive, motivational, and behavioural engagement by students. Metacognitive self-regulation is enacted via planning, monitoring, and regulating ( Pintrich et al. , 1991 ). Planning activities, e.g. task analysis, activate prior knowledge and assist with organising information. Monitoring activities, e.g. self-questioning, help to integrate new information with prior knowledge. Regulating/controlling activities, e.g. evaluation and checking, assist in adjusting problem-solving behaviour.
Goldilocks Help problem-solving workflow – original version. |
(1) Do students change their approach to problem solving when exposed to explicit and scaffolded instruction, using a specially designed problem-solving workflow?
(2) Does students’ metacognitive self-regulation, as related to problem solving, develop as a result of such instruction?
The design of GH was informed by cognitive load ( Sweller, 1988 ; Sweller et al. , 2011a ) and information processing ( Roberts and Rosnov, 2006 ; St Clair-Thompson et al. , 2010 ) theories. Specifically, GH provides students with useful prompts while avoiding overloading their cognitive structures. This consideration was taken into account when designing the original version as described below ( Fig. 1 ), as well as when refining it, following the feedback from students and instructors (see Results section). Furthermore, we aimed for the right balance between prompts being useful ( i.e. going further than generic “analyse” or “plan” instructions) but not too specific so as to turn the workflow into an algorithm (hence, the name “Goldilocks” which alludes to The Story of Goldilocks and the Three Bears or the Goldilocks zone in astronomy). Finally, the prompts were designed to increase students’ awareness of their comprehension failures, and to trigger the use of additional information when necessary. The prompts were fashioned after the Socratic questioning used by the lead author in the actual face-to-face instruction over many years. The following paragraphs describe the structure and attributes of the problem-solving process as implemented in the “Goldilocks Help” workflow.
The lack of knowledge, often not recognised by students, creates an obstacle at the very beginning of the problem-solving attempt (a false start of the first kind). In our workflow, students are encouraged to examine all the terms and concepts relevant to a given problem. In the first instance, it may simply entail reading a problem text and checking that all terms are clear, known, and their meaning understood. We have previously demonstrated the importance of a deep understanding of the terminology in promoting successful problem solving ( Yuriev et al. , 2016 ).
Misconceptions and alternative conceptions often do not manifest themselves until later in the process, where they may lead either to an incorrect solution or to getting stuck (a dead end of the first kind). An example of arriving at an incorrect solution is represented by solving this problem (presented in the context of reversible processes with no non-expansion work occurring): A sample containing two moles of oxygen gas is heated from 25.0 °C to 45.0 °C at atmospheric pressure. Predict enthalpy for this process . Unless students appreciate that the change in enthalpy is equal to energy absorbed or released as heat at constant pressure ( IUPAC, 2014 ), they may use the constant-volume heat capacity, rendering the answer incorrect.
To help avoid these common pitfalls, the GH workflow starts by asking students to define relevant terms present in the problem statement, as well as relevant relationships and principles. Students are then prompted to consider whether the meaning of all terms is clear and to consult the resources ( e.g. , textbook), if it is not.
Bodner and McMillen emphasised the critical importance of the early holistic stage of problem solving, to which they referred as cognitive restructuring ( Bodner and McMillen, 1986 ). Students need to recognise the initial and the goal states of the problem and then to use the results of this analysis for solving the problem. To quote Bodner and McMillen, these early steps “set the stage for the analytic thought processes that eventually lead to an answer”.
During problem analysis, any relevant assumptions need to be explicitly stated in order to select an appropriate course of action. For example, problems dealing with ionic equilibria of weak electrolytes often involve assuming a negligible extent of ionisation. If students do not explicitly make this assumption, they may internalise this concept as being a fact , characterising all solutions of weak electrolytes. This conjecture may be then inappropriately used in situations where it does not apply. For example, in problems where the extent of ionisation is known exactly or where it needs to be determined. Thus, ignoring the appropriateness/applicability of assumptions may lead to students embarking on an incorrect course of action (a dead end of the second kind) ( Nyachwaya et al. , 2014 ). To address these common pitfalls, the GH tool requires students to state the current and desired states ( i.e. , knowns and unknowns) and prompts students to consider their features.
To deal with these common pitfalls, the GH workflow directs students to establish the relationships between known parameters and the unknown(s) and then prompts them to consider whether all the relationships are clear and to consult the resources, if they are not. At this stage, it is also appropriate to prompt students as to whether all the information, required to determine the unknown(s), is available and to return to the analysis, if it is not. Unlike many practice and assessment problems that students encounter in their studies, authentic real-world problems are not posed with all the relevant data in a neat statement. The necessary information needs to be identified and sourced. Furthermore, real-world problem presentation often contains information that is actually not required to reach a solution. All these elements of complexity should be tackled at the planning stage.
To deal with this lack of evaluation experience, the GH workflow prompts students to consider whether the answer is sensible and whether the units are correct. These two specific decision points have been selected based on common student difficulties. An example of a non-sensible answer is a numerically correct answer with a wrong sign: for example, confusing initial and final states of a process leads to a negative enthalpy for an endothermic process or vice versa (a dead end of the fourth kind). Another example of students producing non-sensible results is reporting negative temperature in Kelvin. Problem solving is impossible without making mistakes ( Martinez, 1998 ). It is important for students, on the one hand, to understand this and to accept mistakes and, on the other hand, develop methods to deal with mistakes as a necessary part of problem solving ( Herron, 1996b ; Kapur and Toh, 2015 ). To demonstrate evaluation strategies, GH contains a list of exemplar (but by no means comprehensive) troubleshooting prompts.
Context and participants.
While some tasks involved simple mathematical manipulations of data, others had added elements of complexity. For example, one element of complexity involved data (such as compound properties) not being provided in the problem statement, with only system properties being given (such as mass, temperature, etc. ). Students were required to identify what information was required (as a result of early problem restructuring) and source it. The sources available to students (textbook tables, worksheet appendices) contained a wide range of data, so students needed to know what they were looking for rather than be guided by the data provided. Following is an example of such type of problem: Consider the chemical reaction 2H 2 O 2 (l) → 2H 2 O(l) + O 2 (g) in which liquid hydrogen peroxide decomposes into O 2 and water at 25 °C. Analyse available thermodynamic data, provided in the appendix, and determine the standard enthalpy change for this reaction, using TWO different methods. Suggest a reason why the two results are not identical . In this case students were able to access standard enthalpies of formation and mean bond enthalpies.
Another element of complexity involved including data that was not actually required for solving a given problem, for example: Extracts containing benzylpenicillin were prepared for analysis in buffer at pH 6.5 at 25 °C. The rate constant for the hydrolysis of benzylpenicillin under these conditions is 1.7 × 10 −7 s −1 . What is the maximum length of time (in hours) the solutions can be stored before analysis so that no more than 1% decomposition occurs?
Following this chemistry-unrelated task, students were presented with two chemistry questions. Q1: What is the concentration (% w/v) of a solution of 5 g of a salt dissolved in 200 mL of aqueous solution? Q2: A sample of 5 g of Ephedrine is dissolved in 200 mL of aqueous solution. What is the molar concentration of this solution? As expected, many students were able to solve Q1 almost instantly without a need to write anything down or use a calculator. For Q2, students came up with responses and queries that aligned with the problem-solving workflow.
Novice problem solvers often do not recognise that they are using a specific problem-solving procedure ( Herron, 1996a ). The tasks, presented to students in this workshop, are designed to make the process “more visible” and to encourage students to become aware of things they do when they solve problems (“problem solving behaviour” ( Herron, 1996a )), to pay attention to understanding problem terminology and to the early stages of problem analysis and solution planning.
Each year, the inventory was administered twice, during the first and last weeks of the semester (pretest and posttest). The pretest was completed prior to the problem-solving activities of the workshop described above and prior to the introduction of the GH workflow. The inventory items were scored on a 5-point Likert scale (never, rarely, sometimes, often, and very often). From 93 to 115 students have participated in the four instances of the inventory administration. Matched data from 106 students was available for analysis.
In order to confirm that the component items in the modified scale were inter-correlated, the internal reliability of the modified scale was determined by calculating Cronbach's α on data obtained from the 2015 and 2016 cohorts. Cronbach's α was determined using the Statistical Package for Social Sciences (SPSS; IBM, Chicago). According to the results of the Cronbach's alpha analyses, all the included items measured different aspects of the same construct or sub-constructs, with alpha values consistently greater than 0.7 ( α [knowledge of cognition] = 0.75, α [regulation of cognition] = 0.83, α [overall] = 0.86). The calculated alpha values indicate that the desired level of internal consistency was achieved, and allows for the overall scores to be summed and analysed as a total, as an α value above 0.7 indicates that all of the items contained within a particular scale are measuring the same outcome, without unnecessary redundancy ( α values were all less than 0.9).
To determine the effect of a semester-long problem-solving approach on student metacognitive awareness, matched paired t -tests were performed to compare the data from before and after the intervention. The total and mean scores for the overall inventory, knowledge of cognition, regulation of cognition, and their sub-categories were determined. The pretest scores were compared with the posttest scores from the same students, identified by student-selected 4-character codes. Where students did not respond to a particular item, their data for that item was removed from the analyses, at the item, category, sub-construct and overall level. Descriptive statistics and paired t -tests were calculated using GraphPad Prism version 6 (La Jolla, California). Cohen's d , or effect size, was calculated for the overall inventory, knowledge of cognition and regulation of cognition, by subtracting mean pretest scores from mean posttest scores, and dividing by the average of the standard deviations (SD) of the two groups.
Theme | Excerpts |
---|---|
Already adopted | – I find I – in like high school for chemistry, my teachers sort of ingrained quite a bit of that already, so I do a lot of it automatically. |
– Personally I got the gist of it and it was very similar to what I was doing already so I didn’t really feel the need | |
– It makes me feel good that the process I was using is very similar. | |
Adopting | – It sort of helped because if you followed the steps and got it wrong you could go back through those steps and see where you went wrong and you can fix it. |
Partial adopting | – I only really used the last step to summarise and see if I did it correctly and then…. I only really used it when I got it wrong. So first I would do it my way and then if I got it wrong I’d use the flowchart. |
– I used it in the first few times it was helpful, but I wouldn’t go through the whole pathway all the time. I would just use the rough idea of it. | |
– Yeah like I mean the chart's great but I’m not gonna always – I never have it in front of me, all I think is like, remembering what my lecturer said like, “What do you know?” so like I always do that yeah and then I’ll see what I don’t know and then you know… | |
Not adopting due to a conflict with pre-existing schema | – Its kind of a process of solving problems but I have my own way of solving problems with the given conditions and definitions. So I’d rather use my own way. |
– I do have my own way of solving the problems and I do think they work at least for 90% of the time, so I’m pretty confident with it. | |
Not adopting due to a confusion with too many steps | – I thought it was too long. There was a lot on it. |
– you looked at it and thought “wow I have to do all this” | |
– I feel sometimes if it comes to a step in that Goldilocks thing that I don’t think that I need I often will struggle to then write that step down in my working out it if I don’t quite understand where that step's come from and ‘cause I might have previously done it, so I’m thinking to myself that I’m repeating these steps and then I get confused. I just… yep. |
Academic survey responses are summarised in Table 3 . The survey confirmed the construct validity of the GH workflow, demonstrated by positive responses to items 1–4 and 7 (52–71% agreement with only 1 or 2 respondents disagreeing). The instructors have also noted that, while the workflow is not confusing to expert problem solvers such as themselves (19 out of 21 responses), it could be confusing to students (19 out of 21 responses). Written comments related to (i) the need to add a loop from the evaluation phase back to analysis, (ii) the requirement to incorporate extra prompts for dimensional analysis, reflecting common problem-solving difficulties associated with units, and (iii) suggesting prompts for additional information sourcing.
No | Yes | May be/somewhat | |
---|---|---|---|
(1) The aspects of problem solving, included into the flowchart, are appropriate (i.e., reflect problem solving as taught in my classes) | 1 | 15 | 5 |
(2) The aspects of problem solving, included into the flowchart, are relevant to my area of teaching | 2 | 14 | 5 |
(3) I would use this flowchart (or an appropriately edited version) in my teaching | 1 | 11 | 9 |
(4) I would recommend this flowchart (or an appropriately edited version) to my colleagues | 1 | 15 | 5 |
(5) The flowchart is confusing to me | 19 | 1 | 1 |
(6) The flowchart would be confusing to my students | 7 | 2 | 12 |
(7) The flowchart addresses common difficulties in the problem-solving process | 1 | 16 | 4 |
These findings led to two instructional modifications in 2016. Firstly, the GH workflow was decluttered to reduce confusion and modifications suggested by academics were implemented ( Fig. 2 ). Secondly, modelling instruction was introduced into lectures and tutorials, where at least one of the problems allocated to each class period was worked through interactively, using explicit workflow prompts and colour-coding of the problem-solving stages.
Goldilocks Help problem-solving workflow – final version. |
Sub-themes | Categories | Excerpts |
---|---|---|
Theme: problem-solving processes | ||
Understand | Importance for the subsequent steps | – The input of my group during discussion really helped me to understand the questions in another way and enlighten me on alternative ways to improve on my solution and offer advice on when I mistook or assumed something in the equation – I now do not just jump straight into the problem but I make sure I read everything carefully and fully understand all parts of the question before continuing |
Importance of preparation and building conceptual knowledge | – Absolutely necessary to in order to begin the understanding step in the problem solving model | |
Analyse | Relationships between concepts | – It had forced us to discuss the question from different perspectives which would lead to connections between ideas |
Restructuring the problem | – Dissecting – Unravelling – Breaking everything apart – Unpacking the question | |
Focusing on the data and the goals | – Have learned how to solved problems strategically, analysing what being given and what need to be found | |
Plan | Consequences of the lack of planning | – It is crucial to plan out the steps taken to solve a problem instead of simply “plucking” numbers from the question. I was guilty of doing the latter in the first two tutorials and soon realized that it made me more confused and thus unable to obtain the correct answer. After discussing this with my fellow group members, I was able to plan out the appropriate steps and formulas needed to solve the given problems. This enabled me to not only obtain the correct answer but also made it clearer for me when I reviewed my solutions back |
The value of a well written-out plan for later revision | ||
Timing | – I have learnt how important it is to plan the response and know what you are trying to answer before starting calculations or formulating responses | |
Evaluate | Specific checking strategies | – How do you roughly ball-park your answer, confirming units – Double-check my solution before submission |
Critical assessment of the overall processes | – Evaluate my problem solving processes – Ask each other if our approach to the problem(s) seems to make sense, or if it answers the problem's question | |
Evaluating regularly | – Critique the methods used in problem solving which was not observed during the first weeks of the semester | |
Overall workflow | Helps to commence, progress, and complete the problem-solving process | – It did help our group and myself, solve problems that we were unable to tackle – This allowed us to more easily solve questions without getting stuck – Pivotal towards how I go about in every question in each tutorial. Without it, I would have struggled to complete the questions |
Requires a change in problem-solving approaches | – My personal attitude to the problem-solving process has changed to become more accepting, although I’m still working towards it being an automatic approach | |
Confusing | – Although it was beneficial to write down and approach the question in a different manner before jumping into a calculation right away, the flow chart itself was often confusing to follow | |
Theme: learning experiences in problem-solving sessions | ||
Exposure to alternative problem-solving strategies | Different/others’ way of thinking | – It gave me useful insight into how other people think and helped me discover new ways of solving problems – I also learnt that people think differently |
Others’ way of querying | – Queries from other students challenged me to think in new ways and attack problems from different angles | |
Strategising | – Various strategies on how to attack different types of problems | |
Integration of problem-solving approaches | – It also shed some light on me that there might not necessarily be one approach to solve a problem and sometimes it is possible to integrate different approaches together | |
Cooperative problem solving | Enhanced understanding of concepts | – If I didn't understand something, someone in the group would be able to explain in it different terms to what I had previously heard, so i was also able to learn new things |
Disambiguation of misconceptions | – Cleared some of my misconceptions and misunderstandings about some topics, such as the phase equilibria topic | |
Consolidation of ideas | – The group work aspect of the tutorial was the highlight and the most helpful, as peer learning is an effective way for students to consolidate information | |
Complementarity | – There were many times when someone suggested something I hadn't considered | |
Working with more knowledgeable peers | – The members who had a more proficient understanding about a particular topic would aid members who had a weak understanding about the respective topic, I was able gather a greater understanding in topics that I am particularly weak in (e.g. thermodynamics) | |
Learning by teaching to less proficient peers | – It was very useful to me to explain to those in my group about things that they did not understand, which in a way helped in my own understanding quite significantly | |
Negative attitude to group work | – I found this inefficient because everyone has their own way to solve the problems, so a lot of time was spent discussing rather than writing | |
Changes in problem-solving skills | General improvement | – Improved my overall problem solving skills |
Strengths and weaknesses | – Really helped with my understanding of strengths and weaknesses in terms of problem solving | |
Improving skills is an ongoing process | – I realise I’ve improved but I haven’t perfected my abilities yet | |
Grade motivation | – An opportunity to consolidate knowledge and gain experience in answering questions that may be similar to those that appear in exams | |
Simplistic view of what problem solving | – I found that I was able to identify much better the equations that were required once performing questions in tutorials | |
Problem-solving challenges | Not knowing where to start | – Struggling to understand how to solve the problem |
Reasoning/verbalising the thought process | – Doing the questions was fairly simple, but explaining what I did was the hard part – Struggled to articulate her reasoning | |
Challenges associated with changing to a process-driven approach | – The flow chart that was provided at the beginning of the tutorial first seemed quite confusing and unnecessary. But as we incorporated it into our problem solving process, it became increasingly important and we soon realised, as a group, that it helped everyone problem solve in a logical order. This allowed fewer mistakes and clearer understanding of the methods of problem solving. |
With respect to the “Understand” phase, students noted the importance of this stage for the subsequent steps . They also commented about the importance of preparation and building conceptual knowledge for performing this step. However, some students had a limited perception of class preparation as just a “speeding-up” of the process (“Working on the problems beforehand made it easier to discuss as everyone had read the problems and therefore did not have to waste time rereading and trying to understand the questions”), indicating a need for further instructional attention to explaining to students the value of re-reading questions as a problem-solving technique.
Students repeatedly referred to various elements of the “Analysis” phase, such as relationships between concepts , restructuring the problem , and focusing on the data and the goals . Skipping the “Plan” phase is a known manifestation of novice problem solving ( Herron, 1996a ). Reflections showed that students learned to appreciate the slow-down that is involved in attending to planning a solution. Specifically, the consequences of the lack of planning and the value of a well written-out plan for later revision emerged as a strong notion. The timing of the planning was also mentioned. Regarding the “Evaluate” phase, students referred to specific checking strategies as well as critically assessing the overall processes . Students’ reflections showed not only that they learned what exactly to do to evaluate their solutions, but that they actually started doing it more regularly .
With respect to the workflow as a whole, some noted it helped them to commence , progress , and complete the problem-solving tasks. Adopting the GH workflow clearly required a change in some students’ approaches . Also, confusion caused by it was regularly mentioned, particularly in 2015, prior to the workflow refinement.
Two selected extensive quotes capture student development of the problem-solving approaches, influenced by the GH workflow:
– I have realised the importance of understanding exactly what a problem is asking and planning my solution. Instead of jumping straight into solving problems, I now more and more take the time to identify what I do and don't know and the process I need to go through to solve it. I used to just plug things into equations but I now have a greater understanding of why I am calculating something in this way and appreciating how something is derived. It not only means I am more likely to answer correctly but forces me to fully understand what I am doing and why, so this knowledge can be applied to many situations, including unfamiliar ones
– In the past it was routine for me to see a couple of numbers, find a formula that has all the variables, then to just put them in the calculator and get an answer. Although I might get the right answer or not it was the equivalent of a guess as I didn’t understand as to why I chose those numbers. However, as the semester progressed I have learned to slow down whilst attempting each question and to first analyze all the information before jumping to the calculator. It occurred to me that I first have to recognize any assumptions that are being made which may affect which formula I chose. Then to accurately write down all variables is essential and with all this in mind, at the end of the analysis and understanding of the question, is the time to pick the formula that has the necessary variables to solve what is being asked
In tutorials, students worked in small groups of 4–5 and, at the end of each class, a presenter from each group delivered a workshopped solution to the whole class. This setup provided students with multiple opportunities to experience the problem-solving approaches of others, within and between groups. Students talked about others’ way of thinking and strategising . They emphasised different ways of thinking rather than using different algorithms and discovered that different approaches may not be truly alternative, but rather complementary and integrative . Some students appreciated that it is useful not only to be exposed to other's solutions, but particularly others’ questions .
We have used students’ reflections to carry out a detailed thematic analysis of students’ perceptions of group work and the change in their teamwork skills as a result of the instructional design used in the course. This analysis is outside of the scope of the present work and will be published separately. Here, we are presenting themes associated with the effects of cooperation specifically on problem solving. Students reported enhanced understanding of concepts , disambiguation of misconceptions , consolidation of ideas , and complementarity . They appreciated the benefits from working with more knowledgeable peers as well as learning by teaching to those less proficient . Student resistance to group work is well known ( Hillyard et al. , 2010 ), so it was not surprising to come across negative comments about it (“I found this inefficient because everyone has their own way to solve the problems, so a lot of time was spent discussing rather than writing”). This last quote represents an instructional challenge in that some students do not appreciate the value of peer discussion for their learning and improvement of problem-solving skills.
While many students have declared that their problem-solving skills have improved as a result of this teaching and learning approach, some of them have done so in a self-critical, metacognitive manner. Specifically, they commented on their strengths and weaknesses and demonstrated a mature appreciation of the fact that learning problem-solving process and improving relevant skills is a process in itself . However, some have revealed their grade, rather than intrinsic, motivation when it comes to skills development as well as somewhat simplistic view of what problem solving is.
Students recognised challenges associated with problem-solving. Reported were general difficulties summarised vide supra such as not knowing where to start or verbalising the thought process . Many students expressed concerns over challenges associated with using a process-driven approach .
Pretest (before the intervention) | Posttest (after the intervention) | N | % change | p | SD | d | |||
---|---|---|---|---|---|---|---|---|---|
Mean | SEM | Mean | SEM | ||||||
Overall score is a total for all 30 items, out of a possible 150, whereas sub-construct scores are out of a maximum 45 and 95, respectively. Scores are provided as mean ± SEM, with N indicating the number of students with matched pretest and posttest data, and p the significance reached after a paired t-test (p < 0.05 are indicated with an asterisk). Effect size was calculated as Cohen's d and also as a percentage of change. | |||||||||
2015 cohort | |||||||||
Overall | 103.3 | ±1.9 | 112.8 | ±2.4 | 36 | 9.2 | 0.0003* | 13.6 | 0.74 |
Knowledge of cognition | 33.9 | ±0.6 | 35.6 | ±0.7 | 40 | 5.3 | 0.0090* | 4.2 | 0.44 |
Regulation of cognition | 69.3 | ±1.5 | 76.7 | ±1.8 | 36 | 10.7 | 0.0003* | 10.4 | 0.75 |
2016 cohort | |||||||||
Overall | 100.9 | ±1.5 | 105.9 | ±1.7 | 59 | 5.0 | 0.0078* | 12.3 | 0.41 |
Knowledge of cognition | 34.0 | ±0.5 | 34.5 | ±0.5 | 64 | 1.4 | 0.3168 | 3.9 | 0.12 |
Regulation of cognition | 67.1 | ±1.2 | 70.8 | ±1.3 | 61 | 5.6 | 0.0047* | 9.9 | 0.38 |
Mean scores for the overall inventory, knowledge of cognition and regulation of cognition sub-constructs, and the categories are shown in Table 6 . The scores are provided as mean ± SEM, with N indicating the number of matched pairs, and p the significance reached after a paired t -test.
Pretest (before the intervention; mean ± SEM) | Posttest (after the intervention; mean ± SEM) | N | % change | p | |
---|---|---|---|---|---|
Mean values, out of a possible 5, reflecting the 5-point Likert scale, are provided as mean ± SEM, with N indicating the number of students with matched pretest and posttest data, and p the significance reached after a paired t-test. | |||||
2015 cohort | |||||
Overall | 3.44 ± 0.06 | 3.76 ± 0.08 | 36 | 9.2 | 0.0003* |
Knowledge of cognition | 3.76 ± 0.02 | 3.96 ± 0.02 | 40 | 5.3 | 0.0090* |
Conditional | 3.88 ± 0.01 | 4.00 ± 0.01 | 40 | 3.2 | 0.1334 |
Declarative | 4.00 ± 0.01 | 4.10 ± 0.01 | 40 | 2.5 | 0.4164 |
Procedural | 3.56 ± 0.01 | 3.86 ± 0.01 | 40 | 8.4 | 0.0085* |
Regulation of cognition | 3.30 ± 0.05 | 3.65 ± 0.06 | 36 | 10.7 | 0.0003* |
Debugging strategies | 3.30 ± 0.01 | 3.66 ± 0.01 | 39 | 7.4 | 0.0302* |
Evaluation | 3.11 ± 0.01 | 3.42 ± 0.01 | 40 | 9.9 | 0.0372* |
Information management strategies | 3.56 ± 0.01 | 3.96 ± 0.01 | 40 | 11.4 | 0.0001* |
Monitoring | 3.18 ± 0.02 | 3.48 ± 0.01 | 37 | 9.4 | 0.0148* |
Planning | 3.13 ± 0.02 | 3.54 ± 0.01 | 40 | 13.14 | 0.0002* |
2016 cohort | |||||
Overall | 3.36 ± 0.05 | 3.53 ± 0.06 | 59 | 5.0 | 0.0078* |
Knowledge of cognition | 3.78 ± 0.02 | 3.83 ± 0.02 | 64 | 1.4 | 0.3168 |
Conditional | 3.83 ± 0.01 | 3.96 ± 0.01 | 66 | 3.5 | 0.0532 |
Declarative | 3.96 ± 0.00 | 3.92 ± 0.01 | 66 | −1.2 | 0.6133 |
Procedural | 3.64 ± 0.01 | 3.69 ± 0.01 | 64 | 1.3 | 0.5302 |
Regulation of cognition | 3.19 ± 0.04 | 3.37 ± 0.04 | 61 | 5.6 | 0.0047* |
Debugging strategies | 3.35 ± 0.01 | 3.60 ± 0.01 | 66 | 7.5 | 0.0087* |
Evaluation | 2.94 ± 0.01 | 3.19 ± 0.01 | 66 | 8.2 | 0.0124* |
Information management strategies | 3.57 ± 0.01 | 3.72 ± 0.01 | 64 | 4.2 | 0.0346* |
Monitoring | 3.07 ± 0.01 | 3.17 ± 0.01 | 64 | 3.7 | 0.2033 |
Planning | 3.09 ± 0.01 | 3.24 ± 0.01 | 65 | 5.0 | 0.0682 |
The primary aim of the intervention described in this paper was to support students in developing the metacognitive habit of self-questioning and in learning what type of questions to ask themselves during the problem-solving process. Furthermore, the use of the GH workflow was designed to encourage students to incorporate the prompts and questions into their problem-solving schema and, ultimately, to internalise them. These prompts capture what an experienced instructor would ask students if they were to get stuck during problem solving. Goldilocks Help problem-solving workflow provides these prompts to students themselves or arms a less experienced instructor with a specific mechanism to guide students.
The first theme represented the successful outcome of the intervention designed and implemented in this study. The second theme concerns students that have been previously exposed to structured problem solving. They show the internalisation of the process, the removal of the need for an explicit support ( Puntambekar and Hubscher, 2005 ), and therefore a student-controlled fading of scaffolding ( Wood et al. , 1976 ). The third theme is reminiscent of the earlier findings where students abandoned the problem-solving approach they were taught because they found it to be “too time consuming” ( Bunce and Heikkinen, 1986 ). It is also possible that the intervention presents a hurdle to students with low functional M-capacity and disembedding ability as well as low levels of scientific reasoning and working memory ( Tsaparlis, 2005 ). This theme demonstrated the need for workflow refinement and, together with feedback from instructors ( Table 3 ), led to a more streamlined version ( Fig. 2 ). The focus group and reflection comments about confusion also prompted us to implement an additional action in 2016, i.e. an emphasis on the steps within the process (gathering information, analysis, planning, and reflective evaluation) and explicit explanation and demonstration of what they entail, through modelling instruction.
How much structure and guidance is optimal? There are those who argue that providing excessive support structures confuses some learners, interferes with their own problem-solving schema, and leads to a decrease in performance ( Horz et al. , 2009 ; Nuckles et al. , 2010 ), mostly due to cognitive overload ( Sweller et al. , 2011b ). Others have argued that minimal structure and guidance do not work ( Kirschner et al. , 2006 ). Moreover, prompts may be too structured to be useful for some learners while others may be redundant once students have established their own internal schemas ( Belland, 2011 ). The challenge of over-structuring was actually found to be greater for high-achieving students ( Kalyuga, 2007 ). To address the issues of over-structuring, we have refined the original workflow to reduce excessive scaffolding. For example, we removed the planning prompt that asked students to consider the distinction between system properties ( e.g. , standard enthalpy of combustion) and process parameters ( e.g. , enthalpy for a given process with a specified mass of a compound being combusted). The concept of system-specific properties is an important one and is still included into the workflow, under the evaluation phase.
Importantly, when modifying the workflow, we did not aim to entirely eliminate possible confusion. Instead we used the instances of confusion, incidental as well as anticipated, to improve students’ problem-solving skills and metacognitive awareness. Specifically, one of the primary goals of presenting students with the GH workflow was to expose them to what expert problem-solving processes and expert thinking entail. Not unexpectedly, it is a long jump from algorithmic problem solving to conceptual thinking. It is challenging and, therefore, confusing and frustrating.
Contrary to how it is often perceived by students, confusion is not an entirely negative aspect of learning. Confusion, alongside flow, is an affective state that positively correlates with learning ( Craig et al. , 2004 ). Occasional complication of tasks by implementing specific scaffolds could be productive ( Reiser, 2004 ). In other words, disciplined struggle is good for learning. However, failure to resolve confusion and struggle could also promote frustration and decrease learning ( D’Mello and Graesser, 2010 ). Comments of the type “If you’d just tell me what equation to use, I’d be able to solve a problem” ( Harper, 2005 ) or “there must be an easier way” ( Van Ausdal, 1988 ) are not uncommon and convey frustration associated with problem solving. What we, instructors and students, do with that frustration makes the difference between learning and avoidance of learning. As instructors, we should take these instances of confusion and frustration to explain to students that problem solving is indeed a process and not a recall task and that the ability to see connections between initially abstract and seemingly disconnected pieces of information develops with practice and rests on organised, not memorised, knowledge.
The increased scores for regulation of cognition are congruent with themes that emerged from students’ qualitative comments ( Table 4 ). Specifically, the increased planning scores were illustrated by students appreciating the detrimental consequences of not attending to the planning stage and the value of a well written-out plan for later revision, and the importance of attending to planning before plunging into calculations. The scores for the evaluation, debugging, and monitoring were reflected in students’ comments about specific checking strategies, critical assessment of the overall processes, and the significance of evaluating each time a problem-solving cycle is undertaken. The items within the information management strategies category deal with such aspects of problem solving as focusing on important information and on overall meaning rather than specifics and organising and linking information. These aspects align well with student notions related to understanding and analysis of problems: importance of preparation and building conceptual knowledge, relationships between concepts, and restructuring the problem.
This study was carried out in an authentic classroom setting with the cohorts of students taught by one of the authors (E. Y.). This context prevented the use of an experimental control vs. treatment design, which would not have been ethical. In keeping with within-subject design, independent variables (such as prior academic ability) were not manipulated. And finally, it should be noted that problem-solving abilities of students are likely to be affected by factors outside of the unit of study where the Goldilocks Help tool was implemented. Thus, rather than making any claims about cause and effect, we present possible relationships based on the collected data.
In this paper, we have described the design of a problem-solving workflow intended for use in general and physical chemistry courses. We have now implemented it for analytical and formulation chemistry courses (without any modifications), as well as developed versions for use in spectroscopy, organic chemistry, and pharmacology subject areas, and pilot studies were undertaken in 2016. Future work will evaluate their effectiveness. Furthermore, we are collecting data on the problem-solving skill development of the cohorts described in this paper in the context of a longitudinal study.
Finally, in this study, the problem-solving process was used by first-year students to develop problem-solving skills, while tackling essentially closed, numerical problems. The literature shows that open-ended and complex problems require a much less linear and more iterative approach. However, skills acquired by novice students, when dealing with simpler problems, form the foundation for solving open-ended and complex problems.
Problem-solving metacognition and self-regulation inventory.
○ Declarative knowledge
■ I understand my intellectual strengths and weaknesses.
■ I am a good judge of how well I understand something.
○ Procedural knowledge
■ I have a specific purpose for each strategy I use.
■ I am aware of what strategies I use when I solve problems.
■ I find myself using helpful problem-solving strategies automatically.
■ I try to use strategies that have worked in the past.
○ Conditional knowledge
■ I learn best when I know something about the topic.
■ I use different problem-solving strategies depending on the situation.
■ I use my intellectual strengths to compensate for my weaknesses.
• Regulation of cognition
■ I ask myself questions about the material before I begin.
■ I think of several ways to solve a problem and choose the best one.
■ I read instructions carefully before I begin solving a problem.
■ To solve a problem, I first develop a plan with the sequence of steps necessary for completion.
■ I define each problem carefully before attempting to solve it.
○ Information management strategies
■ I consciously focus my attention on important information.
■ I create my own examples/diagrams and/or write my own notes to make information more meaningful.
■ I ask myself if the information in the problem is related to other information I know.
■ I focus on overall meaning rather than specifics.
■ Before solving a problem, I assemble and organize all the necessary information.
○ Monitoring
■ I consider several alternatives to a problem.
■ I periodically review to help me understand important relationships.
■ I find myself analysing the usefulness of strategies I use for solving problems.
■ I find myself pausing regularly to check my comprehension.
■ While solving a problem, I consider various aspects of the problem.
○ Debugging strategies
■ I change strategies when I fail to understand.
■ I re-evaluate my assumptions when I get confused.
■ After a problem is solved, I look for improvements on the solution process.
○ Evaluation
■ I summarize what I have learned after I finish.
■ I ask myself if I have considered all options after I solve a problem.
■ After a problem is solved, I reflect on it and on how its solution could help to solve future problems.
† Some of the evidence has been drawn from physics education literature, dealing with very similar issues. |
Chemistry is the study of interactions between atoms at a macroscopic or microscopic (molecular) level.
Organic chemistry is a branch of chemistry that focuses on molecules that contain carbon. Although most of organic chemistry is nonliving, organic chemistry is the basis of life.
Stoichiometry is about calculating the amount of certain substances in a chemical reaction.
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Introduction to chemistry and chemical problem solving, curriculum codes.
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Find a solution
Use models in your teaching to help students learn how to find solutions
Source: © Tobatron
Models help students solve problems in the science classroom, a skill they will take into the wider world
In science, as in everyday life, there are many problems to solve. As science teachers, we use models all the time in our lessons, not just because they are explicitly mentioned in exam board specifications, but also because they help make abstract concepts more concrete. How do we help our students use models to problem solve in their science education?
As a starting point, we can link models and problem solving to everyday life. In class, a student can successfully neutralise an acid using an alkali. We can gain student buy-in by applying this to situations outside the classroom, for example the need to brush our teeth.
Introduce routines around problem solving to motivate students
Taking it further, we can use their classroom experience of models when thinking about future careers. We can emphasise that problem solving is a fundamental skill in all jobs. We can embed the idea that problem solving isn’t simply something being learned in the classroom. Rather, it is a skill that will help them be successful in their later lives. To help them understand this concept, ask students to name a job and then explain how problem solving would be successfully used in that job.
Introduce routines around problem solving to motivate students into believing they have a strategy to attempt a task. Teach your students to use a textbook if they’re stuck. Teach them how to use the contents and index pages. This reinforces a skill that encourages independence and will benefit them if they run out of mobile data.
Promote engagement with students needing more encouragement by using a simple rhyme and choral response: ‘What do we do if we’re stuck?’ – ‘We look in a textbook’. If students find a task too hard and can’t solve the problem, motivation will fall and possibly lead to behavioural issues. While this approach needs a big input of teacher direction to begin with, over time the skill will embed.
Evaluate multiple models activity, for age range 14–16
Enhance your learners' skills interpreting and evaluating models with this set of examples showing a hydrogen molecule.
Download the teacher notes as MS Word or pdf , slides as PowerPoint or pdf and student worksheet as MS Word or pdf.
Multiple-models activity, for age range 14–16 years
Enhance your learners’ skills interpreting and evaluating models with this set of examples showing a hydrogen molecule, including classroom slides and a worksheet.
Download the activity from the Education in Chemistry website: rsc.li/3x7j2KW
While models are scattered throughout the curriculum, there are some best bets of where they routinely apply. When discussing JJ Thomson’s plum pudding model, students could choose a different model that represents the same idea, for example, a chocolate chip cookie. After a chromatography practical, students can be encouraged to identify an unknown substance based on different Rf values.
Acronyms are a useful model that students can learn to apply to similar questions. For example, to aid students in successfully drawing covalent bonding , introduce them to GROSO:
Acronyms are a useful model that students can learn to apply to similar questions. For example, to aid students in successfully drawing covalent bonding, introduce them to GROSO: g roup number; r equired shared pairs; o verlap circles; s hared pairs drawn in; o ther outer electrons.
Initially, this would need lots of practice and quick checks using mini whiteboards. Once the routine is embedded though, students can take this model and apply it to other covalent questions.
Worked examples also support students by providing a scaffold of how to answer a question. By referencing a completed question, students can attempt a question by following the steps.
Focusing on problem solving is also a brilliant opportunity to work with other departments. If multiple departments are using the same routine, students are more likely to commit this to long-term memory, thus reducing cognitive load.
The Ofsted research review into science contains a section on coherence between the mathematics and science departments describing how to share similar language around tackling equations. If students can problem solve in maths, we can show them how to carry that skill across by using the same method in science. Many maths departments teach the balance method to solve equations. You can apply this to many chemistry calculations, such as titration.
The Ofsted research review into science contains a section on coherence between the mathematics and science departments describing how to share similar language around tackling equations (rsc.li/3Yx4yjf). If students can problem solve in maths, we can show them how to carry that skill across by using the same method in science. Many maths departments teach the balance method to solve equations. You can apply this to many chemistry calculations, such as titration.
By using these strategies and questions with our students, we can teach them the importance of problem solving. These are skills, once learned, that students can carry with them for future success.
This article is part of our Teaching science skills series, bringing together strategies and classroom activities to help your learners develop essential scientific skills, from literacy to risk assessment and more.
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Problem-solving with critical thinking, learning outcomes.
Most of us face problems that we must solve every day. While some problems are more complex than others, we can apply critical thinking skills to every problem by asking questions like, what information am I missing? Why and how is it important? What are the contributing factors that lead to the problem? What resources are available to solve the problem? These questions are just the start of being able to think of innovative and effective solutions. Read through the following critical thinking, problem-solving process to identify steps you are already familiar with as well as opportunities to build a more critical approach to solving problems.
Step 1: define the problem.
Albert Einstein once said, “If I had an hour to solve a problem, I’d spend 55 minutes thinking about the problem and five minutes thinking about solutions.”
Often, when we first hear of or learn about a problem, we do not have all the information. If we immediately try to find a solution without having a thorough understanding of the problem, then we may only be solving a part of the problem. This is called a “band-aid fix,” or when a symptom is addressed, but not the actual problem. While these band-aid fixes may provide temporary relief, if the actual problem is not addressed soon, then the problem will continue and likely get worse. Therefore, the first step when using critical thinking to solve problems is to identify the problem. The goal during this step is to gather enough research to determine how widespread the problem is, its nature, and its importance.
This step is used to uncover assumptions and underlying problems that are at the root of the problem. This step is important since you will need to ensure that whatever solution is chosen addresses the actual cause, or causes, of the problem.
A common way to uncover root causes is by asking why questions. When we are given an answer to a why question, we will often need to question that answer itself. Thus the process of asking “why” is an iterative process —meaning that it is a process that we can repeatedly apply. When we stop asking why questions depends on what information we need and that can differ depending on what the goals are. For a better understanding, see the example below:
Problem: The lamp does not turn on.
If one is simply a homeowner or tenant, then it might be enough to simply know that if the hair dryer is on, the circuit will overload and turn off. However, one can always ask further why questions, depending on what the goal is. For example, suppose someone wants to know if all hair dryers overload circuits or just this one. We might continue thus:
But now suppose we are an electrical engineer and are interested in designing a more environmentally friendly hair dryer. In that case, we might ask further:
As you can see from this example, what counts as a root cause depends on context and interests. The homeowner will not necessarily be interested in asking the further why questions whereas others might be.
The goal of this step is to generate as many solutions as possible. In order to do so, brainstorm as many ideas as possible, no matter how outrageous or ineffective the idea might seem at the time. During your brainstorming session, it is important to generate solutions freely without editing or evaluating any of the ideas. The more solutions that you can generate, the more innovative and effective your ultimate solution might become upon later review.
You might find that setting a timer for fifteen to thirty minutes will help you to creatively push past the point when you think you are done. Another method might be to set a target for how many ideas you will generate. You might also consider using categories to trigger ideas. If you are brainstorming with a group, consider brainstorming individually for a while and then also brainstorming together as ideas can build from one idea to the next.
Once the brainstorming session is complete, then it is time to evaluate the solutions and select the more effective one. Here you will consider how each solution will address the causes determined in step 2. It is also helpful to develop the criteria you will use when evaluating each solution, for instance, cost, time, difficulty level, resources needed, etc. Once your criteria for evaluation is established, then consider ranking each criterion by importance since some solutions might meet all criteria, but not to equally effective degrees.
In addition to evaluating by criteria, ensure that you consider possibilities and consequences of all serious contenders to address any drawbacks to a solution. Lastly, ensure that the solutions are actually feasible.
While many problem-solving models stop at simply selecting a solution, in order to actually solve a problem, the solution must be put into action. Here, you take responsibility to create, communicate, and execute the plan with detailed organizational logistics by addressing who will be responsible for what, when, and how.
The final step when employing critical thinking to problem-solving is to evaluate the progress of the solution. Since critical thinking demands open-mindedness, analysis, and a willingness to change one’s mind, it is important to monitor how well the solution has actually solved the problem in order to determine if any course correction is needed.
While we solve problems every day, following the process to apply more critical thinking approaches in each step by considering what information might be missing; analyzing the problem and causes; remaining open-minded while brainstorming solutions; and providing criteria for, evaluating, and monitoring solutions can help you to become a better problem-solver and strengthen your critical thinking skills.
iterative process: one that can be repeatedly applied
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Promising review: "I hesitated to trade existing storage space for a trashcan but I am so glad I did. The Rev-A-Shelf was easy to install and worked exactly as I expected. The instructions were a bit lacking but a quick check on YouTube is all you need. Just four easily placed screws to your cupboard bottom and project complete. The fact that the kitchen trash is not the first thing guests see when they enter my house is awesome. I should have done this upgrade years ago! You won't be sorry if you purchase this unit. I love it!" — daisy
Get it from Amazon for $61.99+ (available in seven colors, or check out other options/sizes for the Rev-A-Shelf trashcan storage ).
Promising reviews: "Boy does this tape pretty up an otherwise boring toilet. Way better than a bead of caulk. Clean...clean...clean before installation. Also helps to warm the product. Can be stretched during installation to better fit around tight bends. Been in place for a few weeks; still holding fine." — Selaretus
"Went on easily around the toilet, [it] looks so much better. Covered discoloration around the base, highly recommend." — Jerry
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Promising review: "I have a weirdly tall transition to my bathrooms and struggled with getting a normal threshold to stay in the entrance to my other bathroom after laying vinyl tile, so I hesitated on doing the hall bath until I found this product. Problem solved! Looks great and doesn’t budge! And affordable! I will definitely be ordering more for the long gap between my laminate and marble flooring in another area that I have hated for years."— m. white
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Promising review: "Changed the oil on my girlfriend's car and some oil spilled on my NEW driveway...which I didn't notice 'til four days later. Four spots all about the size of a dollar bill baking in the Arizona sun for four days. Put the stuff on (sits on the stain like pancake batter — don't be afraid to pour liberally) and let it sit from 6 p.m. 'til about 9 a.m. the next day. It dried and the instructions said to just sweep the stuff up. It broke apart with the broom and the stains were gone, just swept up the powder pieces — took about a minute. I WAS SHOCKED! Something that actually works on oil and it's easy. Absolutely NO sign of anything that was there. My driveway is smooth concrete so I can't vouch for what would happen with a rougher surface but whoever makes this stuff is a genius. If they tried to take on World Peace, Earth would be a better place." — AmazonBob
Get it from Amazon for $17.97 (also available in a larger size)
Promising review: "These plates are very beautiful. They match perfectly with the decor of my house. Very happy with this purchase." — Ingrid Hogan
Get it from Farmhouse Iron Co. on Etsy for $13+ (available in five styles).
Farmhouse Iron Co. is a California-based small business creating unique home decor.
These shelves measure 45" x 45" and can hold up to 250 lbs of evenly distributed weight.
Promising review: "These are a great way to open up more storage potential in the garage. This is actually my third home when I've used these in my garage. If you have lots of room between your garage door and your ceiling, these can be used up there to allow you to store stuff in a space you would otherwise not be able to use. They're great for being able to store stuff way up high and not take up any floor space . We store all of our Christmas lights and other holiday decorations on them. They hold up the weight of four or five big bins full of Christmas light strings, no problem." — Buster
Get it from Amazon for $91.98+ (available in two colors/styles).
This tapestry measures 18" x 40" so make sure it'll be a good fit to cover your electrical panel!
Promising review: "I bought this to cover the electric panel in our mudroom. It covers it perfectly so now it's not the first thing you see when you walk in. Had to brush out the tassels a little bit but it is good quality!" — J. Underwood
Get it from Amazon for $45.99 .
Promising review: "Best-looking metal spray paint I have seen. It took me 90 minutes to prepare, mask, and paint my bathroom faucet. I used about 1/2 a can of this paint." — OC-Adam
Get it from Amazon for $14.79+ (available in eight metallic finish colors).
Promising review: "Super easy to install and took less than 30 minutes to put together, level out, and hammer in the stakes. My HOA doesn’t allow the trash bins to be visible from the street, so this fixed that issue, plus it matches my house trim." — Joseph and Anne Sawyer
Get it from Amazon for $145.15 .
Each kit includes a can of primer, three cans of mineral paints, a can of acrylic topcoat, a roller arm and two pads, a paint sponge, and a foam brush.
Promising review: "Easy to put on. You just have to let the base coat dry and then start sponging the colors on. I am not crafty at all and I still can't believe what my countertop looks like. I am glad I gave it a try. So far it seems very durable. I do not cut on my counters or place hot pots or pans on there — I always use pot holders. I LOVE MY NEW COUNTERS. It was much cheaper and easier than replacing them ." — Sharon
Get it from Amazon for $99.95 (available in five finishes and in a marble version ).
Promising review: "I bought these to replace the ugly, plain registers that were on my ceiling. Installed in less than 10 minutes and they look beautiful. I ordered white and spray painted them nickel to match my ceiling fan. Couldn't be happier." — AsMeow
Get one from Amazon for $16.12+ (available in two sizes and four finishes).
This roll of self-adhesive trim measures 4 inches by 20 feet.
Promising review: "This was very easy to apply and make sure you have it where you want it before sticking because it REALLY sticks to the wall. I laid out the roll and let it relax for a day before cutting and applying. Love the easy-to-clean material. Made trimming out my bathroom/ laundry room quick and easy." — Cassie
Get it from Amazon for $28.99+ (available in nine sizes and three colors).
Promising review : "Put together in less than five minutes by myself and no tools needed. This is a nice little box, holds the lumbar pillows along with other things I need for my backyard on a regular basis . The box fits nicely on my small patio." — ALM329
Get it from Amazon for $35.99+ (available in two sizes and four colors).
Reviews have been edited for length and/or clarity.
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Title: solving an industrially relevant quantum chemistry problem on quantum hardware.
Abstract: Quantum chemical calculations are among the most promising applications for quantum computing. Implementations of dedicated quantum algorithms on available quantum hardware were so far, however, mostly limited to comparatively simple systems without strong correlations. As such, they can also be addressed by classically efficient single-reference methods. In this work, we calculate the lowest energy eigenvalue of active space Hamiltonians of industrially relevant and strongly correlated metal chelates on trapped ion quantum hardware, and integrate the results into a typical industrial quantum chemical workflow to arrive at chemically meaningful properties. We are able to achieve chemical accuracy by training a variational quantum algorithm on quantum hardware, followed by a classical diagonalization in the subspace of states measured as outputs of the quantum circuit. This approach is particularly measurement-efficient, requiring 600 single-shot measurements per cost function evaluation on a ten qubit system, and allows for efficient post-processing to handle erroneous runs.
Comments: | 12 pages, 5 figures |
Subjects: | Quantum Physics (quant-ph) |
Cite as: | [quant-ph] |
(or [quant-ph] for this version) | |
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Today’s business environment is incredibly fast-moving and complicated, with problems arising left and right, like waves in a storm battering a ship. This can lead to organizations and team members feeling overwhelmed and helpless because they don’t know where and how to start dealing with these problems. Drawing on his more than four decades of experience in teaching, business, art, and the military, Robert E. Bear has authored Sail the Seven Cs Voyage Logbook , a workbook that guides members of corporate teams and other organizations on how to creatively solve problems while supporting each other.
Written from the standpoint of a sailor, Sail the Seven Cs uses various maritime terminologies and metaphors to drive its points. According to Bear, the book and its forms function as a tool for a team, committee, task force, or a group to work together in a systematic, organized approach that can solve problems of any size. The eBook, which will soon be available on Amazon, also has a section that can help individuals and organizations secure funding for their projects by teaching them how to write grant requests.
As outlined by the book, the seven Cs are:
According to Bear, each team member should have their own copy of Sail the Seven C’s , to ensure that everyone is on the same page. The team should also confirm a time when they can regularly assemble and work on and review each other's efforts and logbooks.
In addition to the exercises provided by Sail the Seven C’s , Bear also holds half-day and full-day corporate creative problem-solving workshops that reinforce these lessons and provide an even more potent start to an organization’s journey toward positive change.
Bear recommends teams hold free word association exercises to develop their creative problem-solving skills. This encourages members to not be afraid of voicing ideas that may sound silly at first, because there may be something in there that actually works. As different people have different skills and different knowledge sets, encouraging each member to speak up when they believe they have something to contribute is vital to organizational success.
The Office of Sponsored Programs will be hosting the upcoming NCURA webinar:
September 30, 2024 12:00 – 1:30 pm MT * Webinar 1:35 – 2:30 pm ET * After the Show * Talk with the Faculty Directly!
Completing an RPPR can be a daunting challenge especially if one is new to the process. This session will go through an actual Progress Report (RPPR), section by section in detail explaining the requirements that NIH will review. The session will go over addressing the common errors and warnings and how to avoid the common pitfalls that result in a late submission or a non-compliant RPPR that can result in further inquiry from NIH. This session will go over the difference between SNAP and Non-SNAP RPPRs, Multiple component RPPRs, completion of the Budget Section H for applicable activity codes and dive into HSS/ASSIST for Human Subjects reporting requirements. Difference between Annual, Interim, and Final reports will also be discussed.
By the end of this webinar, participants will be able to:
Format of webinar: 90-minute presentation, followed by 55 minutes of discussion.
If you, another faculty member, or your department administrator or business manager are interested in attending this webinar, please complete this sign-up form . You do not need to be an NCURA member in order to register. We look forward to learning alongside you!
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Problem solving is a complex set of activities, processes, and behaviors for which various models have been used at various times. Specifically, "problem solving is a process by which the learner discovers a combination of previously learned rules that they can apply to achieve a solution to a new situation (that is, the problem)". 2 Zoller identifies problem solving, along with critical ...
The scientific method, as developed by Bacon and others, involves several steps: Ask a question - identify the problem to be considered. Make observations - gather data that pertains to the question. Propose an explanation (a hypothesis) for the observations. Make new observations to test the hypothesis further.
Using these steps should help give you a guideline to working on any chemistry problem you encounter. Steps. Part 1. ... The most common example of this is the periodic table; before you begin solving, identify which tables are necessary and make sure that you have them on hand. You should be able to determine what materials you need by ...
Solution. Since density = mass volume, we need to divide the mass in grams by the volume in milliliters. In general: the number of units of B = the number of units of A × unit conversion factor. The necessary conversion factors are given in Table 1.7.1: 1 lb = 453.59 g; 1 L = 1.0567 qt; 1 L = 1,000 mL.
Henry Agnew (UC Davis) 2.7: Solving Problems Involving Equations is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts. Many problems in chemistry involve manipulating equations and require the use of multiple conversion steps. Such problems easy to solve as numerical problems once you understand how to ...
solving for several reasons. First, problem solving is what chemists do, regardless of whether they work in the area of synthesis, spectroscopy, theory, analysis, or the c. aracterization of compounds. Second, it was clear that individuals who were successful in chemistry courses either developed good problem solving skills — more or less on ...
Problem solving in any area is a very complex process. It involves an understanding of the language in which the problem is stated, the interpretation of what is given in the problem and what is sought, an understanding of the science concepts involved in the solution, and the ability to perform mathematical operations if these are involved in ...
Problem solving is central to the teaching and learning of chemistry at secondary, tertiary and post-tertiary levels of education, opening to students and ... chemistry problem-solving in context, team-based/active learning, technology for molecular representations, IR spectra simulation, and computational quantum chemistry tools. The book ...
The literature on problem-solving in chemistry is complicated by the absence of agreement on the meaning such basic terms as 'problem' and 'problem solving' (Smith, 1988). Let's therefore start with operational definitions of these terms. Hayes (1980) defined a problem as follows: 235.
problem solvers is the number and kinds of representations they bring to the problem. Introduction to Research on Problem Solving in Chemistry For over 15 years, we have been interested in bridging the gap between theory and practice within the domain of problem solving in chemistry; a gap that results from
Mental models: The role of representations in problem-solving in chemistry. University Chemistry Education, 4, 24-30. Google Scholar. Bowen, C.W. (1990). Representational systems used by graduate students while problem-solving in organic synthesis. Journal of Research in Science Teaching, 27, 351-370.
Problem solving is a process of exploration. Like. historical explorers, students embarking on a problem need to equip themselves with as much knowledge as possible about the territory to be explored. Most university students are reasonably good at acquiring knowledge, if by "knowledge" one means "a compendium of facts".
Whereas general problem-solving processes are very similar between different disciplines and reflect human problem solving (Simon and Newell, 1971), each discipline implements these processes in a field-specific manner.Since chemistry problems require specific terminology and ways of prompting, instructional approaches need to foster discipline-specific problem-solving process skills.
Examining and working chemistry problems is a great way to master concepts. Use chemistry problems as a tool for mastering chemistry concepts. Some of these examples show using formulas while others include lists of examples. Acids, Bases, and pH Chemistry Problems. Learn about acids and bases. See how to calculate pH, pOH, K a, K b, pK a, and ...
Chemistry is the study of interactions between atoms at a macroscopic or microscopic (molecular) level. Organic Chemistry. Organic chemistry is a branch of chemistry that focuses on molecules that contain carbon. Although most of organic chemistry is nonliving, organic chemistry is the basis of life. Stoichiometry
of four steps: (1) understand the problem, (2) dev ise a plan, (3) carry out the plan, and (4) look back. For many years, one of us has used the following problem in seminars on. problem solving ...
Steps for Problem Solving for Example 2.6.1 and 2.6.2 Example \(\PageIndex{1}\) Example \(\PageIndex{2}\) Steps for Problem Solving: The average volume of blood in an adult male is 4.7 L. What is this volume in milliliters? A hummingbird can flap its wings once in 18 ms. How many seconds are in 18 ms?
Creative problem-solving in chemistry. Explore a range of topics through open-ended experiments, where learners can devise their own testing plans. Identifying four unknown solutions. Allow learner's the opportunity to devise their own testing protocols to identify chloride ions in four solutions.
Introductory course for students with limited background in chemistry emphasizing chemical problem solving. Topics include atoms, molecules, ions, compounds, and the periodic table, stoichiometry and chemical reactions, reactions in solution, and an introduction to chemical bonding, thermochemistry, and gas laws. To be followed by Chemistry 101DL. Not open to students who have credit for ...
Our online Problem solving tutor will help your 16-18 learners to structure and develop their problem solving skills in quantitative chemistry. Find out how to use post-16 models to inform 14-16 understanding. Show your students how models can help to predict reactions and influence the taste and texture of chocolate and biscuits, by ...
AI-powered Chemistry problem solver. HyperWrite's Chemistry Assistant is an AI-powered tool designed to answer chemistry questions and think through solving chemistry problems. By leveraging advanced AI models, this tool simplifies complex chemistry problems and provides detailed, understandable solutions. Try it.
Problem-Solving Process Step 1: Define the problem. Albert Einstein once said, "If I had an hour to solve a problem, I'd spend 55 minutes thinking about the problem and five minutes thinking about solutions." Often, when we first hear of or learn about a problem, we do not have all the information. If we immediately try to find a solution ...
Analyzing the Impact of Time Spent on Practice Questions on General Chemistry Students' Problem-Solving Performance
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Quantum chemical calculations are among the most promising applications for quantum computing. Implementations of dedicated quantum algorithms on available quantum hardware were so far, however, mostly limited to comparatively simple systems without strong correlations. As such, they can also be addressed by classically efficient single-reference methods. In this work, we calculate the lowest ...
2.6: Problem-Solving Strategies is shared under a license and was authored, remixed, and/or curated by LibreTexts. The conversion factor works because of the relationship, not because it is has a value of one. Once we have established that a relationship exists, it is no longer necessary to memorize a ….
Conviction, or a problem that one is passionate about solving. This could be an unfair practice at work, increasing productivity, taking care of employees' interests, or filling a market niche.
The problem-solving courts employ specialty courts for families, veterans, and individuals struggling with addiction and mental health issues to address the underlying reasons for criminal behavior.
2.E: Measurement and Problem Solving (Exercises) Exercises for Chapter 2 of Tro's Introductory Chemistry textmap. Chemistry, like all sciences, is quantitative. It concerns quantities, things that have amounts and units. Dealing with quantities and relating them to one another is very important in chemistry. In ….
The RPPR Matrix - Decoding and Problem Solving the NIH Progress Report System. September 30, 2024 12:00 - 1:30 pm MT * Webinar 1:35 - 2:30 pm ET * After the Show * Talk with the Faculty Directly! Completing an RPPR can be a daunting challenge especially if one is new to the process. This session will go through an actual Progress Report ...