Understanding student motivation, behaviors, and perceptions in MOOCs

Saijing Zheng, Mary Beth Rosson, Patrick C. Shih, John M. Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

155 Scopus citations

Abstract

Massive Open Online Courses (MOOCs) have recently experienced rapid development and garnered significant attention from various populations. Despite the wide recognition of MOOCs as an important opportunity within educational practices, there are still many questions as to how we might satisfy students' needs, as evidenced by very high dropout rates. Researchers lack a solid understanding of what student needs are being addressed by MOOCs, and how well MOOCs now address (or fail to address) these needs. To help in building such an understanding, we conducted in-depth interviews probing student motivations, learning perceptions and experiences towards MOOCs, paying special attention to the MOOC affordances and experiences that might lead to high drop rates. Our study identified learning motivations, learning patterns, and a number of factors that appear to influence student retention. We proposed that the issue of retention should be addressed from two perspectives: retention as a problem but also retention as an opportunity.

Original languageEnglish (US)
Title of host publicationCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery, Inc
Pages1882-1895
Number of pages14
ISBN (Electronic)9781450329224
DOIs
StatePublished - Feb 28 2015
Event18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - BC, Canada
Duration: Mar 14 2015Mar 18 2015

Publication series

NameCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing

Other

Other18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
CountryCanada
CityBC
Period3/14/153/18/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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