Decrypting the Learners’ Retention Factors in Massive Open Online Courses

dc.contributor.author Pant, Harsh Vardhan
dc.contributor.author Lohani, Manoj Chandra
dc.contributor.author Pande, Jeetendra
dc.contributor.editor Panda, Santosh
dc.coverage.placeName India en_US
dc.coverage.spatial Asia en_US
dc.date.accessioned 2022-03-22T23:34:57Z
dc.date.available 2022-03-22T23:34:57Z
dc.date.issued 2022-03-19
dc.description.abstract Massive Open Online Courses (MOOCs) have recently become attractive at most universities, and the number of MOOCs has risen significantly, particularly in India. Despite their popularity, previous research has revealed a low course completion rate and a scarcity of research on the factors that influences learners’ retention in MOOCs. Therefore, it is a good idea to investigate previous research to understand the factors behind the learners’ retention so that an ideal learning model can be created. This study used Structural Equation Modelling to find out the unexplored learner retention factors in MOOCs and create a model, which may extend the satisfaction. MOOC data sets were collected from different Indian universities in Uttarakhand state. This study has explored the majority of influencing factors correlated with learners’ satisfaction. The findings show that MOOC usage intention is influenced by a willingness to credit mobility, the allure of the latest trendy course, content localisation and perceived effectiveness. en_US
dc.identifier.doi https://doi.org/10.56059/jl4d.v9i1.570
dc.identifier.issn 2311-1550
dc.identifier.uri http://hdl.handle.net/11599/4032
dc.language.iso en en_US
dc.publisher Commonwealth of Learning (COL) en_US
dc.relation.ispartofseries Journal of Learning for Development;Vol 9; No 1
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/ en_US
dc.source.uri https://jl4d.org/index.php/ejl4d/article/view/570 en_US
dc.subject Massive Open Online Courses (MOOC) en_US
dc.subject Models and Frameworks en_US
dc.subject Learner Retention en_US
dc.subject Open and Distance Learning (ODL) en_US
dc.title Decrypting the Learners’ Retention Factors in Massive Open Online Courses en_US
dc.type Article en_US
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