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All Journal The Indonesian Journal of Computer Science
Ahmad, Mubarik
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Factors Influencing Students’ Continuance Intention in Learning through MOOCs: A Systematic Literature Review Romadhon, Muh Syaiful; Junus, Kasiyah; Santoso, Harry B.; Ahmad, Mubarik; Purwandari, Endina Putri
The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i2.3181

Abstract

Massive Open Online Courses or MOOCs advocate the "democratization of education”, which makes education available for everyone anywhere and anytime. The number of students who registered for a MOOC demonstrates that their intention to use MOOCs is reasonably high, yet only 7-10% complete the course. This review conducts literature review on frameworks or theories, instruments, and major factors that influence the intention to persist in MOOCs. A total of 150 articles spanning the years 2018–2022 are initially reviewed guided by PRISMA framework, from which 20 are selected based on the selection criteria in this study. Self-developed model and TAM has become the most often used theory to determine a persons’ continuance intention on MOOCs. The majority of studies utilized SEM and PLS-SEM as instruments to analyse the continuance intention data. Perceived usefulness is the most important and influential factor in MOOCs.
Co-Authors Endina Putri Purwandari Harry Budi Santoso Junus, Kasiyah Romadhon, Muh Syaiful