Exploring the relationship between course structure and etext usage in blended and open online courses

Daniel T. Seaton, Yoav Bergner, David E. Pritchard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We use a two-parameter family of bounded distribution functions (Kumaraswamy) to fit electronic textbook (etext) usage in 20 blended and online courses from Michigan State University, MIT, and edX. We observe clusters of courses in the parameter space that correlate with course structural features such as frequency of exams.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Conference on Educational Data Mining, EDM 2013
EditorsSidney K. D'Mello, Rafael A. Calvo, Andrew Olney
PublisherInternational Educational Data Mining Society
ISBN (Electronic)9780983952527
StatePublished - Jan 1 2013
Event6th International Conference on Educational Data Mining, EDM 2013 - Memphis, United States
Duration: Jul 6 2013Jul 9 2013

Publication series

NameProceedings of the 6th International Conference on Educational Data Mining, EDM 2013

Conference

Conference6th International Conference on Educational Data Mining, EDM 2013
CountryUnited States
CityMemphis
Period7/6/137/9/13

Keywords

  • Course structure
  • Etexts
  • MOOCs
  • Usage mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Seaton, D. T., Bergner, Y., & Pritchard, D. E. (2013). Exploring the relationship between course structure and etext usage in blended and open online courses. In S. K. D'Mello, R. A. Calvo, & A. Olney (Eds.), Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013 (Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013). International Educational Data Mining Society.