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Factors of dropout from MOOCs: a bibliometric review.

Authors :
Wang, Wei
Zhao, Yongyong
Wu, Yenchun Jim
Goh, Mark
Source :
Library Hi Tech; 2023, Vol. 41 Issue 2, p432-453, 22p
Publication Year :
2023

Abstract

Purpose: Although MOOCs have become a pervasive online learning model, the problem of high dropout rates still persists. Gathering the reasons for the high dropout rate can help to improve the platform design and management of the MOOCs. Design/methodology/approach: A total of 74 studies was extracted from the Web of Science and Scopus. Following the PRISMA (Preferred Reporting Items for systematic Reviews and Meta-Analyses) guidelines, the open-source program CiteSpace is employed to review and induce the studies on the antecedents of MOOC dropout. Findings: The antecedents of the MOOC dropout rate are the psychological, social, personal, course-related, and time factors, and the unexpected hidden cost. Motivation and interaction, which have a decisive impact on the dropout rate of MOOCs, interact with each other. Interaction helps to strengthen the motivation, and appropriate course design enhances the degree of interaction. Originality/value: From the perspective of a learner, the more knowledge and skills the learners acquire, the more likely they will complete the course. Possessing adequate foundational knowledge is one way to arrest the dropout rate. On the part of the MOOC platform, better course design eases the dropout rate. Further, the course duration and hidden cost in MOOCs contribute to the dropout rate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07378831
Volume :
41
Issue :
2
Database :
Complementary Index
Journal :
Library Hi Tech
Publication Type :
Academic Journal
Accession number :
163995007
Full Text :
https://doi.org/10.1108/LHT-06-2022-0306