Factors of dropout from MOOCs: a bibliometric review

PurposeAlthough 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/approachA total of 74 studies was extracted fr...

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Veröffentlicht in:	Library hi tech Jg. 41; H. 2; S. 432 - 453
Hauptverfasser:	Wang, Wei, Zhao, Yongyong, Wu, Yenchun Jim, Goh, Mark
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bradford Emerald Publishing Limited 01.06.2023 Emerald Group Publishing Limited
Schlagworte:	Algorithms Antecedents Artificial intelligence Bibliometrics Colleges & universities Curriculum development Distance learning Dropping out Education Machine learning Meta-analysis Motivation Online instruction School dropouts Social identity Source programs Systematic review Time factors CiteSpace MOOC Learning analytics Bibliometrics Online learning Dropout
ISSN:	0737-8831, 2054-166X
Online-Zugang:	Volltext
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