Algorithmic Case Pedagogy, Learning and Gender

Zhenyu Huang, Robert Bromley

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)48-69
JournalJournal of Educational Issues
Issue number2
StatePublished - Nov 2015


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