- Open Access
Characterizing the mathematical problem-solving strategies of transitioning novice physics students
Phys. Rev. Phys. Educ. Res. 16, 020134 – Published 11 November, 2020
DOI: https://doi.org/10.1103/PhysRevPhysEducRes.16.020134
Abstract
Much work has been done to characterize the reasoning of students as they solve mathematics-intensive problems and characterizing differences in expert and novice problem solving. In this work, we characterize the problem-solving strategies in a classroom setting of “transitioning novices,” students who have completed an introductory physics course and have learned some problem-solving strategies, but are far from expertlike in their reasoning. We find that students mostly use intermediate strategies that reflect an understanding of specific relationships between quantities, such as analyzing the units of an expression, to reason about mathematical expressions. Few students use more sophisticated strategies like checking limits, which require students to run mental simulations to predict how a system will behave as different physical variables are changed. The teaching of more advanced strategies like limit checking will require careful scaffolding of the cognitive complexity, as students generally do not succeed when simply told to check limits. This is supported by the findings of Lin and Singh [Phys. Rev. Phys. Educ. Res. 7, 020104 (2011)] that careful scaffolding is needed to help students solve more complex problems. In this particular group, students were able to successfully analyze the dimensions of an expression and compute component forces and torques to check if their answer made sense. Our results show that there is a need to recognize and teach these intermediary strategies to enable more novice students to check their answers and encourage students to become more expertlike.
Physics Subject Headings (PhySH)
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References (25)
- S.-Y. Lin and C. Singh, Using isomporphic problems to learn introductory physics, Phys. Rev. Phys. Educ. Res. 7, 020104 (2011).
- J. Larkin, J. McDermott, D. P. Simon, and H. A. Simon, Expert and novice performance in solving physics problems, Science 208, 1335 (1980).
- M. T. H. Chi, P. J. Feltovich, and R. Glaser, Categorization and representation of physics problems by experts and novices, Cogn. Sci. 5, 121 (1981).
- J. I. Heller and F. Reif, Prescribing effective human problem-solving processes: Problem description in physics, Cognit. Instr. 1, 177 (1984).
- P. Heller, R. Keith, and S. Anderson, Teaching problem solving through cooperative grouping. Part 1: Group versus individual problem solving, Am. J. Phys. 60, 627 (1992).
- P. Heller and M. Hollabaugh, Teaching problem solving through cooperative grouping. Part 2: Designing problems and structuring groups, Am. J. Phys. 60, 637 (1992).
- L. Hsu, E. Brewe, T. M. Foster, and K. A. Harper, Resource letter RPS-1: Research in problem solving, Am. J. Phys. 72, 1147 (2004).
- J. Tuminaro and E. Redish, Elements of a cognitive model of physics problem solving: Epistemic games, Phys. Rev. ST Phys. Educ. Res. 3, 020101 (2007).
- S. Brahmia, A. Boudreaux, and S. E. Kanim, Obstacles to mathematization in introductory physics, arXiv:1601.01235.
- E. Kuo, M. M. Hull, A. Gupta, and A. Elby, How students blend conceptual and formal mathematical reasoning in solving physics problems, Sci. Educ. 97, 32 (2013).
- B. L. Sherin, How students understand physics equations, Cognit. Instr. 19, 479 (2001).
- T. J. Bing and E. F. Redish, The cognitive blending of mathematics and physics knowledge, AIP Conf. Proc. 883, 26 (2007).
- D. Huffman, Effect of explicit problem solving instruction on high school students problem-solving performance and conceptual understanding of physics, J. Res. Sci. Teach. 34, 551 (1997).
- F. Reif, Applying Cognitive Science to Education (MIT Press, Cambridge, MA, 2008).
- B. Ibrahim, L. Ding, A. F. Heckler, D. R. White, and R. Badeau, How students process equations in solving quantitative synthesis problems? Role of mathematical complexity in students’ mathematical performance, Phys. Rev. Phys. Educ. Res. 13, 020120 (2017).
- K. Heller and P. J. Heller, Competent Problem Solver—Calculus version (McGraw-Hill, New York, 2000).
- P. T. Hardiman, R. Dufresne, and J. P. Mestre, The relationship between problem categorization and problem solving among experts and novices, Mem. Cogn. 17, 627 (1989).
- M. T. H. Chi, M. W. Bassok, M. W. Lewis, P. Reimann, and R. Glaser, Self-explanations: How students study and use examples in learning to solve problems, Cogn. Sci. 13, 145 (1989).
- R. J. Dufresne, W. J. Gerace, P. T. Hardiman, and J. P. Mestre, Constraining novices to perform expertlike problem analyses: Effects on schema acquisition, J. Learn. Sci. 2, 307 (1992).
- R. Thornton and D. Sokoloff, Assessing student learning of Newton’s laws: The Force and Motion Conceptual Evaluation and The Evaluation of Active Learning Laboratory and Lecture Curricula, Am. J. Phys. 66, 338 (1998).
- E. W. Burkholder, J. K. Miles, K. D. Wang, T. J. Layden, A. V. Fritz, and C. E. Wieman, Template for teaching and assessment of problem-solving in introductory physics, Phys. Rev. Phys. Educ. Res. 16, 010123 (2020).
- A. M. Price, C. Kim, E. W. Burkholder, A. V. Fritz, and C. E. Wieman, A universal structure of science and engineering problem-solving, arXiv:2005.11463.
- M. P. Čančula, G. Planišič, and E. Etkina, Analyzing patterns in experts’ approaches to solving experimental problems, Am. J. Phys. 83, 366 (2015).
- C. Singh, When physical intuition fails, Am. J. Phys. 70, 1103 (2002).
- K. A. Ericsson, The influence of experience and deliberate practice on the development of superior expert performance, in The Cambridge Handbook of Expertise and Expert Performance, edited by K. A. Ericsson, N. Charness, P. J. Feltovich, and R. R. Hoffman (Cambridge University Press, Cambridge, England, 2006).