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Engagement and retention in VET MOOCs and online courses: A systematic review of literature from 2013 to 2017


Paton, RM and Fluck, AE and Scanlan, JD, Engagement and retention in VET MOOCs and online courses: A systematic review of literature from 2013 to 2017, Computers and Education, 125 pp. 191-201. ISSN 0360-1315 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Elsevier Ltd.

DOI: doi:10.1016/j.compedu.2018.06.013


Building stronger structures that encourage deeper levels of learner engagement and retention in Massive Open Online Courses (MOOCs) is of significant interest to teachers of Vocational Education and Training (VET). Previous literature on MOOCs is predominately occupied with university sector developments and alternative educational contexts such as VET are neglected. This systematic review of literature from 2013 to 2017 evaluated learner engagement and retention in university MOOCs and VET online courses to identify functional approaches that could be implemented into VET MOOCs. Ten databases were searched, eliciting 1950 papers, which were then screened. Data from 30 university MOOCs and 8 VET online delivery articles that met the inclusion and quality assurance criteria were analysed. Four key themes and eleven component categories emerged repeatedly across the literature. Analysis revealed six functional approaches relevant to VET MOOCs. The findings suggested that coupling these functional approaches into VET MOOCs can improve learner retention and promote engagement. The implications for practice and further research are presented.

Item Details

Item Type:Refereed Article
Keywords:engagement, retention, VET, MOOCs
Research Division:Education
Research Group:Curriculum and pedagogy
Research Field:Vocational education and training curriculum and pedagogy
Objective Division:Education and Training
Objective Group:Learner and learning
Objective Field:Learner and learning not elsewhere classified
UTAS Author:Paton, RM (Mrs Rachael Paton)
UTAS Author:Fluck, AE (Associate Professor Andrew Fluck)
UTAS Author:Scanlan, JD (Dr Joel Scanlan)
ID Code:126761
Year Published:2018
Web of Science® Times Cited:36
Deposited By:Education
Deposited On:2018-06-22
Last Modified:2019-07-30

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