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

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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)

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.

Suggested Citation

  • Shailesh S. Kulkarni & Bin Mai & S. Yasaman Amirkiaee & S. Yasaman Amirkiaee, 2019. "Dynamic Interactive Visualizations: Implications of Seeing, Doing, and Playing for Quantitative Analysis Pedagogy," INFORMS Transactions on Education, INFORMS, vol. 19(3), pages 121-142, May.
    • Handle: RePEc:inm:orited:v:19:y:2019:i:3:p:121-142
    DOI: 10.1287/ited.2018.0203
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    References listed on IDEAS

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    3. Wood, Robert E., 1986. "Task complexity: Definition of the construct," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 60-82, February.
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