Abstract
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 language | English (US) |
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Title of host publication | ASEE Annual Conference and Exposition, Conference Proceedings |
State | Published - 2013 |
Event | 120th ASEE Annual Conference and Exposition - Atlanta, GA, United States Duration: Jun 23 2013 → Jun 26 2013 |
Other
Other | 120th ASEE Annual Conference and Exposition |
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Country/Territory | United States |
City | Atlanta, GA |
Period | 6/23/13 → 6/26/13 |
ASJC Scopus subject areas
- Engineering(all)