Dynamic Interactive Visualizations: Implications of Seeing, Doing, and Playing for Quantitative Analysis Pedagogy

Shailesh S. Kulkarni, Bin Mai (), S. Yasaman Amirkiaee () and S. Yasaman Amirkiaee ()
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Shailesh S. Kulkarni: Information Technology and Decision Sciences Department, College of Business, University of North Texas, Denton, Texas 76201
Bin Mai: Educational Administration and Human Resource Development, Texas A&M University, College Station, Texas 77843
S. Yasaman Amirkiaee: Information Technology and Decision Sciences Department, College of Business, University of North Texas, Denton, Texas 76201
S. Yasaman Amirkiaee: Information Technology and Decision Sciences Department, College of Business, University of North Texas, Denton, Texas 76201

INFORMS Transactions on Education, 2019, vol. 19, issue 3, 121-142

Abstract: Teaching relatively complex quantitative topics in statistics, operations management, and management science to undergraduate as well as graduate students can pose numerous pedagogical challenges. However, several topics in these disciplines are amenable to exposition by means of dynamic interactive visualizations. We present a sample of such visualizations and discuss their implications for pedagogy. We also discuss how optimization modeling and a single data set can be leveraged to expose students to multiple variants of covering models and, more importantly, how visualizations can be used to quickly demonstrate the differences in these models. We present empirical evidence that by using dynamic interactive visualizations we are able to enhance the student learning experience.

Keywords: visualization; interactive; quantitative analysis; pedagogy (search for similar items in EconPapers)
Date: 2019
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