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One Possible Frame for Thinking about Experiential Learning

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  • George W. Cobb

Abstract

I argue that teaching statistical thinking is harder than teaching mathematics, that experimental design is particularly well suited to teaching statistical thinking and that in teaching statistics, variation is good. We need a mix of archival data, simulations and activities, of varying degrees of complexity. Within this context, I applaud the important contributions to our profession represented by Darius et al. (2007), and Nolan & Temple Lang (2007), the first for showing us how to make simulation‐based learning simultaneously more flexible and more realistic than ever before, and the second for showing us a path‐breaking technology that can make archival data the basis for active learning at an impressively high level of sophistication, embedding statistical thinking within real scientific and practical investigations.

Suggested Citation

  • George W. Cobb, 2007. "One Possible Frame for Thinking about Experiential Learning," International Statistical Review, International Statistical Institute, vol. 75(3), pages 336-347, December.
    • Handle: RePEc:bla:istatr:v:75:y:2007:i:3:p:336-347
    DOI: 10.1111/j.1751-5823.2007.00034.x
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    References listed on IDEAS

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    1. Gelman, Andrew & Nolan, Deborah, 2002. "Teaching Statistics: A Bag of Tricks," OUP Catalogue, Oxford University Press, number 9780198572244.
    2. Paul L. Darius & Kenneth M. Portier & Eddie Schrevens, 2007. "Virtual Experiments and Their Use in Teaching Experimental Design," International Statistical Review, International Statistical Institute, vol. 75(3), pages 281-294, December.
    3. Deborah Nolan & Duncan Temple Lang, 2007. "Dynamic, Interactive Documents for Teaching Statistical Practice," International Statistical Review, International Statistical Institute, vol. 75(3), pages 295-321, December.
    4. Gelman, Andrew & Nolan, Deborah, 2002. "Teaching Statistics: A Bag of Tricks," OUP Catalogue, Oxford University Press, number 9780198572251.
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    Cited by:

    1. Chris Wild, 2007. "Virtual Environments and the Acceleration of Experiential Learning," International Statistical Review, International Statistical Institute, vol. 75(3), pages 322-335, December.
    2. Chris J. Wild & Maxine Pfannkuch & Matt Regan & Ross Parsonage, 2017. "Accessible Conceptions of Statistical Inference: Pulling Ourselves Up by the Bootstraps," International Statistical Review, International Statistical Institute, vol. 85(1), pages 84-107, April.

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