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Metrics for Effectiveness of E-Learning Objects in Software Engineering Education

  • Michael Van Hilst
  • , Alvaro E. Escobar
  • , Priscila Reyes

    Research output: Contribution to conferencePresentation

    Abstract

    In this paper we present the rationale and beginning of work on improving e-learning objects through the use of analytics modeled after Google Analytics. Prior work on the use of metrics in e-learning has focused on user satisfaction, and the ranking and selection of learning objects from a set of available choices. This work differs in its focus on the kinds of metrics needed to improve an existing object, or even more specifically to make improvements to specific pages within an object. This work is based on the now well established track record of using Google Analytics for Web site optimization in e-commerce. We discuss adaptations needed to apply similar metrics in the context of e-learning and more specifically e-learning objects.

    Original languageAmerican English
    DOIs
    StatePublished - Mar 1 2014
    EventIEEE SoutheastCon 2014 - Lexington, United States
    Duration: Mar 13 2014Mar 16 2014

    Conference

    ConferenceIEEE SoutheastCon 2014
    Country/TerritoryUnited States
    CityLexington
    Period3/13/143/16/14

    Keywords

    • learning objects
    • learning management systems
    • Google Analytics

    Disciplines

    • Computer Sciences

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