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Algorithmic Case Pedagogy, Learning and Gender

Author

Listed:
  • Robert Bromley
  • Zhenyu Huang

Abstract

Great investment has been made in developing algorithmically-based cases within online homework management systems. This has been done because publishers are convinced that textbook adoption decisions are influenced by the incorporation of these systems within their products. These algorithmic assignments are thought to promote learning while discouraging the practice of shirking student responsibility via the sharing of a common correct answer. Our paper describes the first testing of this method’s effectiveness. The results indicate marked differences of the case’s effects on male and female students. Significant improvements in learning were found for male students but not for female students.

Suggested Citation

  • Robert Bromley & Zhenyu Huang, 2015. "Algorithmic Case Pedagogy, Learning and Gender," Journal of Educational Issues, Macrothink Institute, vol. 1(2), pages 4869-4869, December.
  • Handle: RePEc:mth:jeijnl:v:1:y:2015:i:2:p:4869
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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