Understanding student behaviors in online classroom: data scientific approach

Jongbok Byun, Diane Pennington, Jorge Cardenas, Srabasti Dutta, Jeral Kirwan

Research output: Contribution to conferencePaper

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.

Conference

Conference3rd IEEE International Congress on Big Data, BigData Congress 2014
CountryUnited States
CityWashington, DC
Period27/06/142/07/14

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Students

Keywords

  • Big Data
  • Data Science
  • online education
  • students Behavior
  • distance education
  • Drops
  • education
  • social networking (online)
  • teaching
  • student learning
  • students' behaviors

Cite this

Byun, J., Pennington, D., Cardenas, J., Dutta, S., & Kirwan, J. (2014). Understanding student behaviors in online classroom: data scientific approach. 802-803. Paper presented at 3rd IEEE International Congress on Big Data, BigData Congress 2014, Washington, DC, United States. https://doi.org/10.1109/BigData.Congress.2014.129
Byun, Jongbok ; Pennington, Diane ; Cardenas, Jorge ; Dutta, Srabasti ; Kirwan, Jeral. / Understanding student behaviors in online classroom : data scientific approach. Paper presented at 3rd IEEE International Congress on Big Data, BigData Congress 2014, Washington, DC, United States.2 p.
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Byun, J, Pennington, D, Cardenas, J, Dutta, S & Kirwan, J 2014, 'Understanding student behaviors in online classroom: data scientific approach' Paper presented at 3rd IEEE International Congress on Big Data, BigData Congress 2014, Washington, DC, United States, 27/06/14 - 2/07/14, pp. 802-803. https://doi.org/10.1109/BigData.Congress.2014.129

Understanding student behaviors in online classroom : data scientific approach. / Byun, Jongbok; Pennington, Diane; Cardenas, Jorge; Dutta, Srabasti; Kirwan, Jeral.

2014. 802-803 Paper presented at 3rd IEEE International Congress on Big Data, BigData Congress 2014, Washington, DC, United States.

Research output: Contribution to conferencePaper

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AU - Byun, Jongbok

AU - Pennington, Diane

AU - Cardenas, Jorge

AU - Dutta, Srabasti

AU - Kirwan, Jeral

N1 - © 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.

PY - 2014/9/25

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Byun J, Pennington D, Cardenas J, Dutta S, Kirwan J. Understanding student behaviors in online classroom: data scientific approach. 2014. Paper presented at 3rd IEEE International Congress on Big Data, BigData Congress 2014, Washington, DC, United States. https://doi.org/10.1109/BigData.Congress.2014.129