American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: http://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
Open Access
Journal Browser
Go
American Journal of Educational Research. 2015, 3(12), 1484-1488
DOI: 10.12691/education-3-12-1
Open AccessArticle

Mathematical Problem Solving and Use of Intuition and Visualization by Engineering Students

Chih-Hsien Huang1,

1Ming Chi University of Technology

Pub. Date: November 13, 2015

Cite this paper:
Chih-Hsien Huang. Mathematical Problem Solving and Use of Intuition and Visualization by Engineering Students. American Journal of Educational Research. 2015; 3(12):1484-1488. doi: 10.12691/education-3-12-1

Abstract

Deciding on the truth value of mathematical statements is an essential aspect of mathematical practice in which students are rarely engaged. This study explored first year engineering students’ approaches to mathematical statements with unknown truth values, taking a perspective that the construction examples is an activity of problem solving. Task-based interviews utilizing the think-aloud method revealed students problem solving processes in depth. The primary data sources were the protocols of 15 students to the questionnaire, three false statements involved basic concepts about derivative and definite integral. Through analysis of the data. The findings suggest that the factors the participants failed to solves problems include: mathematical intuition and prototype example hindered the constructing of counterexamples, there are two dangers in visualizing -figures can induce false conclusions and figures can mislead our reasoning.

Keywords:
engineering students intuition problem solving visualization

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Arcavi, A. “The role of visual representations in the learning of mathematics.”EducationalStudy in Mathematics,52(3). 215-241. March. 2003.
 
[2]  Barwise, J., and Etchemendy, J. “Visual information and valid reasoning.” In W. Zimmermann, & S. Cunningham (Eds.). Visualization in teaching and learning mathematics. Mathematical Association of America,Washington, D.C., 1991, 9-24.
 
[3]  Burton, L. “Why is intuition so important to mathematicians but missing from mathematics education?”For the Learning of Mathematics, 19(3).27-32. November.1999.
 
[4]  Burton, L. Mathematicians as enquirers: Learning about learning mathematics, Kluwer, Boston, 2004.
 
[5]  de Villiers, M. Experimentation and proof in mathematics. In G. Hanna, H.N. Jahnke, & H. Pulte (Eds.). Explanation and proof in mathematics: Philosophical and educational perspectives. Springer, New York, 2010, 205-221.
 
[6]  Dörfler, W. “Meaning: Image schemata and protocols.” In Proceedings of the Fifteenth Annual Meeting of the International Group for the Psychology of Mathematics Education, Assisi, Italy, 17-32. 1991.
 
[7]  Dreyfus, T. “On the status of visual reasoning in mathematics and mathematics education.” In Proceedings of the Fifteenth Annual Meeting of the International Group for the Psychology of Mathematics Education, Assisi, Italy, 33-48. 1991.
 
[8]  Duval, R. “Representation, vision and visualization: Cognitive functions in mathematical thinking. Basic issues for learning.” In Proceedings of the 21st North American Chapter of the International Group for the Psychology of Mathematics Education, Morelos, Mexico, 3-26. 1999.
 
[9]  Evans, J. “Intuition and reasoning: A dual-process perspective.” Psychological Inquiry, 21. 313-326. 2010.
 
[10]  Fischbein, E. “Intuition and proof.”For the Learning of Mathematics, 3. 9-18. 1982.
 
[11]  Fischbein, E. Intuition in Science and Mathematics, Kluwer, Dordrecht, 1987.
 
[12]  Fischbein, E. The interaction between the formal, the algorithmic, and the intuitive components in a mathematical activity. In R. Biehler, R.W., Scholz, R. Straser, &B. Winkelmann(Eds.). Didactics of mathematics as a scientific discipline. Kluwer, Dordrecht, 1994, 231-245.
 
[13]  Glaser, B.G., and Strauss, A.L. The discovery of grounded theory: Strategies for qualitative research, Aldine, New York, 1967.
 
[14]  Glockner, A., and Witteman, C. “Beyond dual-process models: A categorization of processes underlying intuitive judgment and decision making.”Thinking and Reasoning, 16(1). 1-25. March. 2010.
 
[15]  Inglis, M., Mejia-Ramos, J. P, and Simpson, A. “Modelling mathematical argumentation: The importance of qualification.” Educational Study in Mathematics, 66. 3-21. September. 2007.
 
[16]  Kahneman, D. Maps of bounded rationality: A perspective on intuitive judgment and choice. In T. Frangsmyr (Ed.).Les Prix Nobel. The Nobel Foundation Stockholm, 2002, 449-489.
 
[17]  Kahneman, D., and Frederick, S. Representativeness revisited: Attribute substitution in intuitive judgment. In T. Gilovich, D. Griffin, & D. Kahneman (Eds.). Heuristics and biases: The psychology of intuitive judgment. Cambridge, Cambridge University Press, 49-81. 2002
 
[18]  Nemirovsky, R., and Noble, T. “On Mathematical Visualization and the Place Where We Live.”Educational Study in Mathematics, 33(2). 595-610. July. 1997.
 
[19]  Stavy, R., and Tirosh, D. “Intuitive rules in science and mathematics: The case of "More of A―More of B".”International Journal of Science Education, 18(6). 653-667.April. 1996.
 
[20]  Strauss, A., and Corbin, J. Basics of qualitative research: Grounded theory, procedures and techniques,Sage, London, 1990.
 
[21]  Zimmermann, W., and Cunningham, S. Visualization in Teaching and Learning Mathematics, Mathematical Association of America, Washington, D.C., 1991, 1-8.