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Think not calculate! Implementation of Felix Klein postulates in economic education with CAS software

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  • Tomasz Kopczewski

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

For the last two decades, there have been many attempts to broadly introduce the Computer Algebra System (CAS) programs to teach economics. So far, none of these trials have reported significant success. The purpose of this article is to investigate the reasons why this software is still not commonly used tool in teaching economics. Paper is based on interdisciplinary approach. Experience of introducing CAS to teach advanced microeconomics is being confronted with philosophy of science, anthropology, history of mathematics, history of economic thought, education, etc. This leads to coherent new approach to the application of CAS to teach economics using tools of blended learning and m-learning, where the postulates of mathematics teaching reform presented in 1905 by Felix Klein are the core point. One of these postulates is to shift from laborious calculations to presentations of results in the functional form, what allows for the demonstration of complex relationships in simple graphical form. By using this approach, students can devote more time to evaluation of the reality of operation of theoretical models. Introduction of Felix Klein postulates improves significantly the tradeoff between quality and accessibility of this software for students and teachers. To improve the efficiency of using CAS in teaching, this paper presents tools created by the Author. One of those is to use language corpus analysis to isolate the most often appearing MAXIMA commands, what may simplify and accelerate the process of learning the programming language and syntax. Paper presents the Leontief (1935) Input-Output model as an example of using CAS in teaching microeconomics. This model is one of the most striking examples of the inadequacy of the teaching results obtained in relation to the effort of pen-and-paper calculations. Using CAS for this model is a qualitative change both in didactics as well can extend scientific research and theory applications.

Suggested Citation

  • Tomasz Kopczewski, 2015. "Think not calculate! Implementation of Felix Klein postulates in economic education with CAS software," Working Papers 2015-38, Faculty of Economic Sciences, University of Warsaw.
    • Handle: RePEc:war:wpaper:2015-38
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    File URL: http://www.wne.uw.edu.pl/index.php/download_file/2150/
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    References listed on IDEAS

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    1. William Lee & Richard H. Courtney & Steven J. Balassi, 2010. "Do Online Homework Tools Improve Student Results in Principles of Microeconomics Courses?," American Economic Review, American Economic Association, vol. 100(2), pages 283-286, May.
    2. Belsley, David A, 1999. "Mathematica as an Environment for Doing Economics and Econometrics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 69-87, October.
    3. Jinhu Li & Jeffrey S. Racine, 2008. "Maxima: An open source computer algebra system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 515-523.
    4. Nicolaas J. Vriend, 2002. "Was Hayek an Ace?," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 811-840, April.
    5. Dilip Soman & George Ainslie & Shane Frederick & Xiuping Li & John Lynch & Page Moreau & Andrew Mitchell & Daniel Read & Alan Sawyer & Yaacov Trope & Klaus Wertenbroch & Gal Zauberman, 2005. "The Psychology of Intertemporal Discounting: Why are Distant Events Valued Differently from Proximal Ones?," Marketing Letters, Springer, vol. 16(3), pages 347-360, December.
    6. Mary Ellen Benedict & John Hoag, 2011. "Factors Influencing Performance in Economics: Graphs and Quantitative Usage," Chapters, in: Gail M. Hoyt & KimMarie McGoldrick (ed.), International Handbook on Teaching and Learning Economics, chapter 31, Edward Elgar Publishing.
    7. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    8. Nicolaas J. Vriend, 2002. "Was Hayek an Ace?," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 811-840, April.
    9. Michael R. Hammock & J. Wilson Mixon, 2013. "Microeconomic Theory and Computation," Springer Books, Springer, edition 127, number 978-1-4614-9417-1, March.
    10. Jonathan A. Schwabish, 2014. "An Economist's Guide to Visualizing Data," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 209-234, Winter.
    11. Daniel S. Hamermesh, 2002. "Microeconomic Principles Teaching Tricks," American Economic Review, American Economic Association, vol. 92(2), pages 449-453, May.
    12. Bonaccorsi, Andrea & Rossi, Cristina, 2003. "Why Open Source software can succeed," Research Policy, Elsevier, vol. 32(7), pages 1243-1258, July.
    13. Michael Watts & William E. Becker, 2008. "A Little More than Chalk and Talk: Results from a Third National Survey of Teaching Methods in Undergraduate Economics Courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 39(3), pages 273-286, July.
    14. David W. Boyd, 1998. "On the Use of Symbolic Computation in Undergraduate Microeconomics Instruction," The Journal of Economic Education, Taylor & Francis Journals, vol. 29(3), pages 227-246, September.
    15. Mark S. Walbert & Anthony L. Ostrosky, 1997. "Using Mathcad to Teach Undergraduate Mathematical Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 28(4), pages 304-315, December.
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    More about this item

    Keywords

    Computer Algebra Systems; economic education; digital revolution; Maxima; Felix Klein;
    All these keywords.

    JEL classification:

    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis

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