A computer emporium is a large ensemble of computers accessible to students and faculty, where courses and coursework can be addressed. A model of emporium instruction of mathematics, developed at Virginia Tech, will be described. The model was initially created to deal with instruction under the burden of increased class sizes and increasing demands on faculty time. It has turned out to be an effective pedagogical method with particular advantages for instruction in less developed nations. In this article, we will describe the emporium model: its structure, software development and impact on pedagogy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
F. Quinn and M. Williams, Lessons from the Emporium 1: Goals and economics (November 2003), preprint, at www.math.vt.edu/people/quinn/education.
F. Quinn and M. Williams, Lessons from the Emporium 2: Help for computerbased learning (November 2003), preprint, at www.math.vt.edu/people/quinn/education.
F. Quinn and M. Williams, Lessons from the Emporium 3: Testing and course design (July 2004), preprint, at www.math.vt.edu/people/quinn/education.
M. Williams, The Math Emporium: The Changing Academy or Changing the Academy, in Developing Faculty to Use Technology, D. Brown, ed., Anker Publishing, Boston, 2003, pp. 285-287.
W. Greenberg and M. Williams, A Model for Computer-Assisted Lecture Courses in Mathematics, in Third International Conference on Education and Information Systems Technologies and Applications, vol. 1, F. Malpica, F. Welsch, A. Tremante, J. Lawler, eds., Orlando, International Institute of Informatics and Systemics, 2005, pp. 26-31.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Greenberg, W., Williams, M. (2008). New Pedagogical Models for Instruction in Mathematics. In: Konaté, D. (eds) Mathematical Modeling, Simulation, Visualization and e-Learning. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74339-2_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-74339-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74338-5
Online ISBN: 978-3-540-74339-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)