Examining self-regulated learning as a significant mediator among social presence, cognitive presence, and learning satisfaction in an asynchronous online course: A partial least squares structural equation modeling approach
Keywords:self-regulated learning, community of inquiry, PLS-SEM, social presence, cognitive presence, learning satisfaction, mediation effects
Using a 33-item 5-point Likert scale and partial least squares structural equation modeling approach, this study examined the role of 347 Chinese college first-year students’ self-regulated learning as a mediator among social and cognitive presences and their learning satisfaction in an asynchronous online course during the COVID-19 pandemic. Specifically, it examined the extent to which their self-regulated learning and cognitive presence mediated the influence of social presence on their learning satisfaction. The results indicated that participants’ self-regulated learning had a significant positive effect on their learning satisfaction. It also had a significant mediation effect between social presence and their learning satisfaction, as well as between social and cognitive presences. Furthermore, social presence played a significant role in participants’ self-regulated learning and their learning satisfaction through the mediation of their self-regulated learning and cognitive presence. Implications for designing asynchronous online courses are discussed.
Implications for practice or policy
- Course designers should consider how to leverage and increase students’ social presence in the asynchronous online learning environment.
- Course designers should make it a priority to clarify learning goals, inform learning activity time, provide prompt feedback, design appropriate autonomous tasks, arrange appropriate social learning activities, and specify optional online learning paths.
- Course designers should foster learners’ self-regulated learning, help them build online confidence, manage their time well, and overcome difficulty in completing the online learning tasks.
How to Cite
Copyright (c) 2023 Dr. Yan Hu, Jinyan Huang, Dr. Fanzhe Kong, Shahbaz Hussain
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