An associative based approach to analyzing an online learning environment

Bahareh Azarnoush, Jennifer M. Bekki, Bianca L. Bernstein, George C. Runger

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

2 Scopus citations


Recent years have shown an increase in both in the number and use of online educational learning environments. Correspondingly, there is a greater availability of rich data sets that describe both the learners themselves and their interactions with the online learning environment. In this paper, we demonstrate the use of a data mining tool, association analysis, to analyze this data. We demonstrate its applicability in understanding how learners use a particular online learning environment and for the identification of learner interactions with the environments that are associated with particular learning outcomes. The methodology is first described and then is demonstrated as a case study through its application to the CareerWISE online learning environment.

Original languageEnglish (US)
Title of host publicationASEE Annual Conference and Exposition, Conference Proceedings
StatePublished - 2013
Event120th ASEE Annual Conference and Exposition - Atlanta, GA, United States
Duration: Jun 23 2013Jun 26 2013


Other120th ASEE Annual Conference and Exposition
Country/TerritoryUnited States
CityAtlanta, GA

ASJC Scopus subject areas

  • Engineering(all)


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