Is it Possible to Apply Multidimensional Graphical Methods in the Teaching and Learning of Economics?

31 Pages Posted: 3 Apr 2012

See all articles by Mario Arturo Ruiz Estrada

Mario Arturo Ruiz Estrada

University of Malaya (UM) - Faculty of Economics & Administration (FEA)

Multiple version iconThere are 2 versions of this paper

Date Written: April 2, 2012

Abstract

This paper examines the possibility of applying the multidimensional graphical methods in the teaching and learning of economics. Using two courses in a series of full class sessions, it was observed that multidimensional graphical methods could indeed be applied to the teaching and learning of economics, but when prototypes are available as well as the application of E-learning tools such as homepages designed for specific topics. The paper is structured in five parts. Part one presents the evolution and review of courses viz. the introduction of mathematical economics and the principle of economics. Part two introduces the theoretical framework of the five-dimensional coordinate space, while part three uses an example to show how the five-dimensional coordinate space could be applied to visualize the gross domestic product rates of U.S. behavior from 1929 to 2004. Part four presents different empirical results obtained from the teaching and learning experiences of the five-dimensional coordinate space and draws from the courses examined the pros and cons inherent in the use of multidimensional graphical methods in the teaching and learning of economics.

Keywords: multidimensional graphs, economics teaching, GDP graphical analysis

JEL Classification: A22, A23, CO2, B41, E00

Suggested Citation

Ruiz Estrada, Mario Arturo, Is it Possible to Apply Multidimensional Graphical Methods in the Teaching and Learning of Economics? (April 2, 2012). Available at SSRN: https://ssrn.com/abstract=2033430 or http://dx.doi.org/10.2139/ssrn.2033430

Mario Arturo Ruiz Estrada (Contact Author)

University of Malaya (UM) - Faculty of Economics & Administration (FEA) ( email )

Kuala Lumpur, 50603
Malaysia
+60126850293 (Phone)

HOME PAGE: http://ssrc.um.edu.my/

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