Understanding student behaviors in online classroom : data scientific approach

Byun, Jongbok and Pennington, Diane and Cardenas, Jorge and Dutta, Srabasti and Kirwan, Jeral (2014) Understanding student behaviors in online classroom : data scientific approach. In: 3rd IEEE International Congress on Big Data, BigData Congress 2014, 2014-06-27 - 2014-07-02. (https://doi.org/10.1109/BigData.Congress.2014.129)

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Abstract

Students drop classes for many reasons. Some are personal such as medical conditions, family issues, or financial difficulties. Others are course specific such as course contents, instructor, or classmates. In either way, class drop is a serious problem to institutions because without students there will be no students learning. As a first step to understand students drops, this study will address the issue of students' behaviors in online classrooms.

  • Item type:Conference or Workshop Item(Paper)
    ID code:65334
    Dates:
    Date
    Event
    25 September 2014
    Published
    Notes:© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Bibliography. Library Science. Information Resources > Library Science. Information Science
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:31 Aug 2018 13:45
    Last modified:22 Apr 2024 01:08
    URI:https://strathprints.strath.ac.uk/id/eprint/65334
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