Understanding student behaviors in online classroom

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

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.

Citation

Byun, J., Pennington, D., Cardenas, J., Dutta, S., & Kirwan, J. (2014). Understanding student behaviors in online classroom. In 2014 IEEE International Congress on Big Data. https://doi.org/10.1109/BigData.Congress.2014.129

• Conference Name: 2014 IEEE International Congress on Big Data
• Conference Location: Anchorage, AK, USA
• Start Date: Jun 27, 2014
• End Date: Jul 2, 2014
• Online Publication Date: Sep 25, 2014
• Publication Date: 2014
• Deposit Date: Feb 3, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2379-7703
• Book Title: 2014 IEEE International Congress on Big Data
• DOI: https://doi.org/10.1109/BigData.Congress.2014.129
• Keywords: Big Data; Data Science; online education; students Behavior; distance education; Drops; education; social networking (online); teaching; student learning; students' behaviors