Quantitative Problem Solving
“Quantitative problem solving” is a form of learning based on discovery. To solve a problem, it is important to both think and compute systematically.
The resources provided are beneficial for students in mathematics, applied sciences, natural sciences, and commerce. They can help you develop a strategic approach to practice problems and avoid common problem solving pitfalls, regardless of the specific course content.
Looking for something short and sweet? Scroll down for some quick tips for problem solving.
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QUICK TIPS FOR QUANTITATIVE PROBLEM SOLVING
Here are some tips to improve your problem solving in mathematics, commerce, and the sciences:
1. Solving problems tests your ability to apply theoretical concepts. Both abstract thinking and computation are required.
2. Most courses have only a few key concepts that will reappear in novel contexts. Look for the “spiral of learning”: identify and understand these concepts deeply.
3. Organize concepts to see connections, and improve recall.
4. Use a systematic approach to stay focused, isolate errors in logic or computation, and reduce the panic.
5. Read to define the question fully: what is known? unknown? asked for? what is the significance of each different part?
6. Solve what you can initially. Think about problems using the same concepts (e.g., Newton’s 2nd Law, complementarity in basepairing, equilibrium and Le Chatelier’s principle, net asset) that may use similar methods of solution.
7. In class: pay attention to the steps the prof follows (the thought process) in addition to the computations.
8. Describe your thoughts as you solve a problem. Monitor yourself: are you on task? Do you remember your purpose in doing “x”? What’s the next step?
9. Work with a good problem solver and compare your thought process to theirs.
10. Working in groups can be helpful to share ideas, but do some of each problem type yourself…exams are solo events!
11. STOP if you plug in an equation that has the exact variables as the problem. Focus on identifying concepts…not memorizing formula.
12. STOP if you try to use solutions from other problems that don’t apply. Focus on identifying underlying concepts first.
13. Set time limits for homework questions (e.g., 20 minutes) and get help if needed.
14. Keep up with the homework…this material is taught sequentially.
15. In labs: relate experiment or process to problems in class. Do specific equations describe phenomenon being observed in the lab?
16. Check your work using a different method, if possible.
QUANTITATIVE PROBLEM SOLVING:
WHAT, WHY, and HOW IT WORKS
What is “quantitative problem solving,” anyway?
This is a form of learning based on discovery: to solve the problem, you must both think and compute systematically.
It is different from both “exercise solving,” in which past routines are applied to solve similar problems, and the “trial and error” approach some use to match correct formula to problems.
A central idea in problem solving is the use of “concepts,” the fundamental general ideas on which other notions are built. In any subject, there are usually only a few basic concepts (sometimes expressed as formula) applied in a variety of ways. For example, basic concepts include limit of function in math, ttest in statistics, mole in chemistry, and liability in accounting. Identifying and deeply understanding key concepts, and developing an organizational structure to recall how they interrelate, are essential to problem solving.
The “spiral of learning” occurs when basic concepts are used repeatedly to solve a variety of problems. The central concept is the core of the spiral, and various applications spin out from, and loop back to, that concept. Frequently revisiting those basic concepts allows you to firmly fix them in your longterm memory, where they can be quickly recalled and applied.
Selfreflection questions
Do you:
 understand your own approach: strengths and weaknesses?
 focus on concepts to increase understanding, and as an organizational framework?
 learn material sequentially?
 look for the “spiral of learning”: repetition and expansion of basic concepts?
 develop a systematic, methodical approach, to talk yourself through each step?
 compute accurately, and (eventually) quickly?
 persist?
 get help when needed?
What is YOUR approach to quantitative problem solving?
Awareness of your attitudes and habits is a good starting point to see your strengths and areas to change. Take our EvidenceBased Components questionnaire to assess your approach.
Characteristics of expert problemsolvers
1. Attitude characteristics
 Optimistic: you believe in yourself (“I can do it!”)
 Confident: the problem really does have a reasonable, but perhaps difficult, solution
 Willing to persevere: you aim for a complete and wellreasoned solution, not an immediate or superficial one
 Concern for accuracy in reading: you concentrate, reread and paraphrase to increase understanding, and translate unfamiliar words or terms
 Concern for accuracy in thinking: you work at a moderate to slow pace initially, perform operations carefully, check answers periodically, and draw conclusions at the end not part way through.
2. Skill characteristics
 Systematic approach: you have a plan to follow, which
 reduces the panic
 allows you to monitor your thought processes
 helps isolate errors in logic or computation
 Sound knowledge of basic concepts, which you mentally organize so you can recall and apply them
 Computational skill, at a good speed
 Habit of vocalizing or “thinking aloud”: you talk yourself through all thoughts
 how to start the problem
 steps to break problems into parts
 decisions
 analyses
 conclusions
 Awareness of your own thought processes: What did I do or learn? How did I do or learn this? How effective was my process?
Typical characteristics of novice problemsolvers
 You don’t believe that persistent analysis is essential, therefore your effort and motivation to persist is weak.
 You are careless in your reasoning.
 You don’t break problem into component parts and go stepbystep, therefore there are errors in logic and computation.
 You focus on individual details, and don’t see how details relate to concepts. Therefore, every problem feels new…how overwhelming!
 Formulamemorizing is the main strategy.
 You get behind in your learning, and then sequential learning is hampered.
 You lose confidence in your ability to solve problems, due to lack of success.
Strategies to improve problem solving skills
1. Use time and resources effectively
 Work on courses regularly: keep up so you can build on past knowledge (sequential learning), and get help quickly for difficulties.
 Do all the questions assigned, rather than dividing questions among group members, as you will get more practice with the concepts your Professor expects you to know. Aim for accuracy, then speed. Start assignments at least a week ahead of the due date, so you have time for help if needed.
 Use study groups to compare completed solutions to assigned problems. Teaching someone is a very effective learning and study technique.
 Choose problems wisely: learn to apply a specific concept to solve a variety of related problems. Start with simpler ones, and work up. Identify the relevant concept and practice until you know when and how to apply it. You may not need to do all questions.
 Set a time limit: attempt a new problem every 1520 minutes. If you can’t complete a problem, check your “thinking strategies” and change to a new problem. Get help with the problems you couldn’t complete, at tutorial, etc.
 Do some uncalculated solutions: If you are confident in your calculationsset up the solution but don’t finish the calculation.
 Learn the necessary background and skills: find out from professor, course outline, etc. what the course involves and upgrade before the course begins if you don’t feel confident about the prerequisites.
 Find and use help resources: use tutors, professors, TAs, friends, text, internet. For example: in accounting, economics, and finance texts, it is common to find examples that are quite similar to the problems at the end of the chapter. Work through the logic of the examples to develop a better understanding of how best to start the homework problems, if you run into trouble.
2. Develop strategies to organize your thinking
General problem solving method
Use a methodical, thorough approach to solve problems logically from first principles. Refer to the selfassessment questionnaire to remind yourself of target activities you need to focus on.
Steps:
 Engage with the problem
 Define and understand the problem what is being asked? Express your thinking in several ways, such as verbally, graphically or pictorially, and finally mathematically
 Explore links between the current problem and related ones you have previously solved.
 Plan how you will solve the problem
 Do it √
 Evaluate your method and result, and revise as needed
Tool: General Problem Solving Strategy, Cognitive vs Metacognitive Questions.
Approaching practice problems for homework
Use homework as a learning tool; the important part isn’t to get all the practice problems right (in fact, you probably won’t, since it is new material!), but to pay attention to common patterns, themes, and areas where you will need to ask for clarification from the instructor.
Effective learning of the concepts and general methods will reduce the number of problems you may need to solve to feel confident in your knowledge and computations.
Tool: Problem Solving Homework Strategy, Diagnosing the Problem Questions.
Decision steps strategy
This strategy is a specific application of the General Problem Solving Strategy described above, and is suitable for use in statistics, accounting and other applied problem solving situations.
During the lecture or when reading course notes, focus on the process of solving the problem, instead of on the computation. When your professor is lecturing, listen to their comments on how steps are inked from one to another. This helps you identify the “decision steps” that lead to correct application of a concept. Ask yourself “Why did I move from this step to this step?”
Tools: Decisions Steps Strategy, and examples of Decision Steps in Calculus and for Rational Expressions.
Quantitative concept summary
Concepts are general organizing ideas, are there are often very few of them taught in a course, along with their many applications (i.e., the spiral of learning). Key concepts may be identified by:
 reading the learning objectives on the course outline or the course description,
 referring to the lecture outline to identify recurring themes,
 thinking about the common aspects of problems you are solving.
Learn and understand the small amount of information essential to each concept.
If in doubt, ask the professor what is important for you to “get.”
Tools: Quantitative Concept Summary Strategy. Includes a summary form and an example of a concept summary for Ordinary Simple Annuities.
Range of problems strategy
Exams will challenge you to apply your knowledge to new situations, so prepare by creating questions or problems that are slightly different in some variable from your homework problems.
Actively think about the range of problems that are associated with a concept. Think in terms of both
 level of difficulty of the problems
 common kinds of difficult problems.
Use this to anticipate different kinds of difficult problems for exam preparation, and solve some practice problems to test yourself. This is an excellent activity for a study group.
Tool: Range of Problems Strategy.
Evidencebased components of expert problem solving
Observe yourself as you solve problems. Rate how often you DO any of the following. Progress toward internalizing these targets, aiming for doing these activities 80100% of the time.
Targets for expert problem solving 
20% 
40% 
60% 
80% 
100% 
1. I describe my thoughts aloud as I solve the problem.  
2. I occasionally pause and reflect about the process and what I have done.  
3. I don’t expect my methods for solving problems to work equally well for others.  
4. I write things down to help overcome the storage limitations of shortterm memory (where problem solving takes place).  
5. I focus on accuracy and not on speed.  
6. I interact with others.[2]  
7. I spend time reading the problem.[3]  
8. I spend up to half the available time defining the problem.[4]  
9. When defining problems, I patiently build up a clear picture in my mind of the different parts of the problem and the significance of each part.[5]  
10. I use different tactics when solving exercises and problems.[6]  
11. I use an evidencebased systematic strategy (such as read, define the stated problem, explore to identify the real problem, plan, do it, look back). I am flexible in my application of the strategy.  
12. I monitor my thought processes about once per minute while solving problems. 
Source: Woods, D.R., Felder, R.M., Rugarcia, A., Stice, J.E. (2000). The Future of Engineering Education III: Developing Critical Skills. Chemical Engineering Education, 34 (2), 108117.
G
[1] Problem solving contrasts with exercisesolving. In exercisesolving, the solution methods are quickly apparent because similar problems have been solved in the past. [2] An important target for team problem solving [3] Successful problemsolvers may spend up to three times longer than unsuccessful ones in reading problem statements. [4] Most mistakes are made in the definition stage! [5] The problem that is solved is not the textbook problem. Instead, it is your mental interpretation of that problem. [6] Some tactics that are ineffective in solving problems include: trying to find an equation that includes precisely all the variables given in the problem statement, instead of trying to understand the fundaments needed to solve the problem
 trying to use solutions from past problems even when they don’t apply
 trial and error
STRATEGIES AND TOOLS FOR QUANTITATIVE PROBLEM SOLVING
General problem solving strategy
A systematic approach to problem solving helps the learner gain confidence, and is used consistently as a “blue print” by expert problem solvers as a way to be methodical, thorough and selfmonitoring. This model is used in life generally, as well as in the sciences. The steps are not linear, and multiple processes are happening in your brain simultaneously, but the basic template hinges on effective questioning as you carry out various steps
1. Engage
Invest in the problem through reading about it and listening to the explanation of what is to be resolved. Your goal is to learn as much as you can about the problem before you begin to actually solve it, and to develop your curiosity (which is very motivating). Successful problem solvers spend two to three times longer doing this than unsuccessful problem solvers. Say “I want to solve this, and I can”.
2. Define the stated problem…a challenging and time consuming task
 Understand the problem as it is given you, ie. “What am I asked to do?”
 Ask “What are the givens? the situation? the context? the inputs? the knowns? etc.
 Determine the constraints on the inputs, the solution and the process you can use. For example, “you have until the end of class to hand this solution in” is a time constraint.
 Represent your thinking conceptually first, by reading the problem, drawing a pictorial or graphic representation or mind map (see example attached), and then a relational representation.
 Then represent your thinking computationally, using a mathematical statement
3. Explore and search for important links between what you have just defined as a problem, and your past experience with similar problems.
You will create a personal mental image, trying to discover the “real” problem. Ultimately, you solve your “best mental representation” of the problem.
 Guestimate an answer or solution, and share your ideas of the problem with others for added perspective.
 Selfmonitoring questions include: What is the simplest view? Have I included the pertinent issues? What am I trying to accomplish? Is there more I need to know for an appropriate understanding?
4. Plan in an organized and systematic way
 Map the subproblems
 List the data to be collected
 Note the hypotheses to be tested
 Selfmonitoring questions include: What is the overall plan? Is it well structured? Why have I chosen those steps? Is there anything I don’t understand? How can I tell if I’m on the right track?
5. Do it
 Selfmonitoring questions include: Am I following my plan, or jumping to conclusions?
 Is this making sense?
6. Look back and revise the plan as needed.
Significant learning can occur in this stage, by identifying other problems that use the same concepts (remember the spiral of learning?) and by evaluating your own thinking processes. This builds confidence in your problem solving abilities.
 Selfmonitoring questions include: Is the solution reasonable? Is it accurate? (you will need to check your work to know this!) Does the solution answer the problem? How might I do this differently next time? How would I explain this to someone else? What other kinds of problems can I solve now, because of my success? If I was unsuccessful, what did I learn? Where did I go off track?
Based on D.R. Woods, “Problem–based Learning”, 1994
Use cognitive and metacognitive questions to help you learn
Effective problem solving requires thinking about how you think! It’s helpful to know the difference between metacognitive strategies (i.e., “thinking about how you best learn mathematical concepts/skills”) and cognitive strategies (“interacting with the specific information to understand it”). Next time you start to solve a problem, see if thinking through your responses to these questions can help you focus your efforts.
Metacognitive strategies
Advance organization  What’s the purpose in solving this problem? What is the question? What is the information for? 
Selective attention  What words or ideas cue the operation or procedure? Where are the data needed to solve the problem? 
Organizational planning  What plan will help solve the problem? Is it a multistep plan? 
Selfmonitoring  Does the plan seem to be working? Am I getting the answer? 
Selfassessment  Did I solve the problem/answer the question? How did I solve it? Is it a good solution? If not, what else could I try? 
Cognitive strategies
Elaborating prior knowledge  What do I already know about this topic or type of problem? What experiences have I had that are related to this? How does this information relate to other information? 
Taking notes  What’s the best way to write down a plan to solve the problem? Table, chart, list, diagram… 
Grouping  How can I classify this information? What is the same and what is different (from other problems I have encountered, from other concepts in the class…) 
Making inferences  Are there words I don’t know that I must understand to solve the problem? 
Using images  What can I draw to help me understand and solve the problem? Can I make a mental picture or visualize this problem? 
Many students find these types of questions boring or irrelevant and simply want to blast through all the problems, but it’s important to remember the actual purpose of solving problems (at least in homework, if not on a test): figuring out and then practicing new and different ways to solve a type of problem. The process is what matters, not getting the result as quickly as possible. Focusing on the process helps you to become more accurate and efficient, and it will save you time in the long run.
Approaching practice problems for homework
This strategy encourages a deep understanding of concepts and procedures in calculation. The time you spend on this will reduce the amount of time you may spend in “plug and chug” attempts to do the homework, and reduce the amount of time you will need for studying later on. Remember that the purpose of practice problems is to help you learn, not to get through all of them quickly – it is perfectly normal if you can’t get the right answer on the first try. Think of them as experiments!
 Prepare for the homework questions.
 review class notes and understand the concepts in the examples. This might take 30 – 45 minutes.
 write the first line of a sample problem, close the book, and work as far as you can without looking.
 refer back to notes, and then again attempt sample
 repeat over again until you can solve the sample problem both accurately and quickly.
You will have memorized the rules in the process. This might take 1 hour.
 Start the homework questions. Interrogate your problem solutions: ask questions about the problem and your method of solving it. For example,
 What are the givens? Can the givens be classified as Assets, Liabilities, Owner’s Equity, Income, Expenses, etc? Is there any Depreciation?
 What is required?
 Can I diagram this?
 What concepts are referred to? Theorems? Operations?
 Is the problem similar to others I solved/How?
 What more do I need to understand this?
 Are there any “tricks” to the question? If so, how do I deal with them?
 Keep track of problems you have trouble solving, isolate the particular difficulty, and get help to figure it out. Drill these problems until you are both accurate and fast in solving them.
Diagnose the problem and connect it to a misconception
Sooner or later, you will run into a practice problem that stumps you. This is actually a good thing! It allows you to refine your understanding of the material, so you’ll be better prepared for the exam. At this point, it’s helpful to diagnose why you don’t understand this problem – what about your thought process isn’t working?
Here are steps to follow for diagnosing a misconception:
 Return to notes and review course material on the topic. Try sketching the overall concept or explaining it to someone else without looking at your notes. Is your sketch or explanation accurate?
 Review your steps to the question. Look at each step individually: Was this step correct? Why did I do this part? (Think back to your sketch or explanation of the overall concept when trying to answer “why?”).
 When you have found the step where you first made an error, identify exactly why you made the error. Did you not read the question carefully? Did you use incorrect data? Did you misunderstand the purpose of the question? Did you misunderstand the concept?
 Try to think of other approaches, or find a similar practice problem and see if you can mirror the steps. Ask, “Why is this step correct? How will I modify my Concept Summary, analogy, etc. of the concept in light of this new information?”
Inspired by Chapter 4: Misconceptions as Barriers to Understanding Science from Science Teaching Reconsidered, A Handbook (1997).
Try timing yourself for each problem. If you exceed your time limit (20 minutes or so?) for a particular question, do your best to determine what about the problem is troubling you and then bring it to your instructor as soon as possible to talk about it and learn a new approach.
Put a star next to this type of problem and be sure to practice this type again before any tests. This is exactly why practice problems are so helpful!
STRATEGIES AND TOOLS FOR QUANTITATIVE PROBLEM SOLVING
Decision step strategy: Applying the general method to a specific problem
Taken from: J. Fleet, F. Goodchild, R. Zajchowski, “Learning for Success”, 2006.
Purpose:
To help learners focus on the process of solving problems, rather than on the mechanics of formula and calculations.
The focus is on correct application of concepts to specific situations. This strategy helps you to increase your awareness of the mental steps you make in problem solving, by “forcing” you to articulate your inner dialogue regarding procedure.
Method:
Identify the key decisions that determine what calculations to perform. In lecture, try to record the decision steps the professor uses but may not write down or post.
 Analyze solved examples, using brief statements focusing on steps you find difficult:
 What was done in this step?
 How was it done; what formula or guideline was followed?
 Why was it done?
 Any spots or traps to watch out for?
 Test run the decision steps on a similar problem, and revise until the steps are complete and accurate.
Example: Decision steps in Calculus for max/min word problems
Problem: A peanuts manufacturer wishes to design a can to hold dryroasted peanuts. The volume of the cylindrical can is 250 cm^{3}, and the circular top of the can is made from aluminum while the sides and the bottom are made from stainless steel. If aluminum is twice as expensive as stainless steel, what are the most economical dimensions of the can?
Steps 
Solved example 
1. Identify Quantity to be maximized/ minimized (Q)  C=Cost per can 
2. Diagram when possible (including variables)
a. Shapes (perimeter, area, volume) b. Equations to be graphed (axes, levels, distances) 

3. Make equation for questions using terms from formulas
a. Perimeter (P), surface area (S.A.), volume (V) b. Pythagorean relationship c. Sums, differences d. Cost of steel (k), overall cost (C) e. Distance between points – Define variables – Often need to combine equations 

4. Substitute the given volume value into equation (1) to get h(r) and substitute into equation (3) to get C(r).  
5. Set the 1^{st} derivative of overall cost (C) with respect to radius to 0 to find the radius that gives the optimum overall cost  Cross out “k” in both terms since it is common in both, rearrange equation, and solve for r:
r=2.98 cm and from (1): h=8.947cm 
6. Check 2^{nd} derivative to verify the values found for “r” and “h” indeed give a minimum cost. (if 2^{nd} derive >0, min. cost is found; if 2^{nd} derive <0, max cost is found)  Since the right hand side of the equation can never be negative, r=2.98cm gives the minimum cost. 
7. State answer; watch significant figures  The most economical dimensions for the can are r=3.0 cm and h=8.9 cm. 
The ‘what’ and the ‘how’
Note that these decision steps try to capture WHAT and especially HOW each step is carried out – including possible alternatives that can be tweaked so that the student is not left wondering how to make the decision needed. Most textbook steps tend to give the WHAT only. For example, these are steps from a calculus textbook:
 Determine the quantity Q to be maximized or minimized
 If possible, draw a figure illustrating the problem
 Write an equation for Q in terms of another variable of the problem
 Take the derivative of the function in step 3 … etc.
From Washington A.J. (2000). Basic Technical Mathematics with Calculus (7^{th} ed.), Addison Wesley Longman.
Quantitative concept summary strategy
Taken from: Fleet, J., Goodchild, F. and Zajchowski, R., “Learning for Success”, 2006
Purpose
To provide a structure for organizing fundamental, general ideas. The mental work involved in constructing the summary helps clarify the basic ideas and shift the information from working memory to longterm memory. This is an excellent study tool, for quick review.
Method
The organizational elements are
 Concept Title
You can identify key ideas by referring to the course outline, chapter headings in the text, lecture outline. Sometimes concepts are thought of individually, other times they are meaningfully grouped for better recall. Eg. Depreciation, Capital Cost Allowance, and HalfYear Rule; acid, base and PH.
 Use general categories to organize material, and then add specific details as appropriate. Sample general categories may include:
 Allowable key formula check summary page of text or ask professor
 Definitions define every term, unit and symbol
 Additional important information sign conventions, reference values, meaning of zero values, situations in which formula do not work, etc
 Simple examples or explanations use your own words, diagrams, or analogies to deepen your thinking and check your understanding
 List of relevant knowns and unknowns to help you know which concepts are associated with which problems, use crucial knowns to help distinguish among problems.
Quantitative concept summary
Concept Title:
Allowable Key Formula:
Definitions of each symbol, and its units:
Additional important information: (e.g. sign conventions, special characteristics, when concept doesn’t work, special cases, etc.)
Simple examples, explanations, cases:
Relevant knowns, and unknowns: (and words/phrases from word problems that signal these)
By permission from website of R. Zajchowki.
Example: Concept summary for Ordinary Simple Annuities
Concept title: Ordinary Simple Annuities
 Key allowable formula(s):
 Ordinary annuity: payment at end of each payment period
 Simple annuity: interest period = payment period
 Definition of each new symbol and its units:
 PV is the present value of the annuity in $
 FV is the future value of the annuity in $
 PMT is the regular payment per period in $
 n is the number of payments made
 I is the interest rate per payment period
 Additional important information: (sign conventions, special characteristics, reference & zero values, when concept does not work, special cases, etc.)
 In problems check interest period – payment period & that payment is at the end of the period; otherwise, formulas need changing!
 Be careful to find “i” per period
 Watch signs on “n” value ! FV>PV and PMT is small in comparison
 You cannot find “i” with formulas: a calculator is needed
 Otherwise you can find any of the 4 symbols above if you know 3 others (e.g., find FV knowing PMT, i, n).
 Simple examples of explanations:
These formulas can “compress” an annuity into a value – either PV or FV. Mortgage is a simple example: I am loaned some money (PV) to buy a house. I pay “PMT” per month at i% for n payments (usually 25 years, and n = 300). Then I can find FV and I end up paying (knowing) PV, i, n, and I can find PMT.
 Relevant knowns and unknowns: (words or phrases from word problems that signal these)
 To be an annuity, problem must say “annuity” or “series of payments” or “regular payments”, etc.
 To be an ordinary or a simple annuity, you need to check “pay at the end of the month or quarter”, etc. and that the pay period is the same as the interest period.
 PV is often “loan of…”; “price of…”
 FV is often “accumulates to …” or “how much after…”
Range of problems strategy: Common types of difficult problems
Taken from: J. Fleet, F. Goodchild, R. Zajchowski, Learning for Success, 2006
Expand your thinking in preparation for exams, where problems are not exactly the same as you have previously solved. Work from an existing problem, and make it more challenging by adding or changing:
Hidden knowns: needed information is hidden in a phrase or diagram Eg. “at rest” means initial v = 0 in physics.
Multipartsame concept: a problem may comprise 2 or more subproblems, each involving the same concept. This type of problem can be solved only by identifying the given information in light of these subproblems
Multipartdifferent concepts: same idea as above, but the subproblems involve the use of different concepts
Multipartsimultaneous equations: same idea as above, but no single subproblem can be solved by itself. You may have 2 unknowns and 2 equations or 3 unknowns and 3 equations, and you will need to solve them simultaneously, e.g. using substitution, comparison, addition and subtraction, matrices, etc.
Work backwards: some problems look different because to solve them you have to work in reverse order from problems you have previously solved
Letters only: when known quantities are expressed in letters, problems can look different. If you follow the decision steps, they are not usually as difficult.
“Dummy variables”: sometimes a quantity that you think should be a known is not specified because it is not really needed – that is, it cancels out.
Red herrings, unnecessary information: a problem may give you more information than is needed, which is confusing if you think you should use everything provided.
Further resources
Online
McMaster University’s academic resources website. There are 3 videos on Problem Solving illustrating general ideas (Problem Solver I), differences in applying concepts vs. formula chasing (Problem Solver II), and applying the Decision Steps strategy (Problem Solver III).
Link: https://studentsuccess.mcmaster.ca/
Books
Fleet, J, Goodchild, F, Zajchowski, R Learning for Success: Effective strategies for students, Thomson Nelson, 4th ed, 2006
Whimbey, A, Lockhead, J, Problem Solving & Comprehension, New Jersey: Lawrence Erlaum Associates, 5th ed., 1991
Woods, DR, Problembased Learning: How to gain the most from PBL, Waterdown, ON: DR Woods, 1994
First photo courtesy of Clay Shonkwiler and second photo courtesy of fdecomite under the Creative Commons AttributionNonCommercialNoDerivations 2.0 license.
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