AI Article Synopsis
- The COVID-19 pandemic led colleges to adopt online learning, prompting a study using the UTAUT2 model to assess factors influencing students' willingness to continue online education.
- Data was gathered from undergraduates in East China through questionnaires to explore the impacts of various constructs like effort expectancy, social influence, and self-efficacy on behavioral intention to engage in e-learning.
- Findings revealed that self-efficacy, metacognition, and habits significantly influence students' behavioral intentions, leading to recommendations for improving online learning experiences through better social support, content design, and technology usability.
Article Abstract
The COVID-19 pandemic caused colleges and universities to rely heavily on online learning to continue knowledge dissemination to learners. This study used the second-generation model of unified theory of acceptance and use of technology (UTAUT2) to comprehensively analyze the mediating effects of , which affects learners' effective use of online tools for learning, and , which can independently adjust learning progress into the UTAUT2 model, on the learner's willingness to continue online learning [i.e., their behavioral intention (BI)] by constructing a UTAUT2-based e-learning model. This study administered questionnaires to undergraduates in universities in East China to collect data. The effects of performance expectancy, effort expectancy (EE), social influence (SI), and facilitating conditions (FCs), hedonic motivation (HM), price value (PV), and habits on BI (directly or through mediators) were analyzed through data analysis and structural equation modeling, and the UTAUT2-based e-learning model was accordingly modified. The results indicated that the self-efficacy enhanced the effects of EE, SI, FCs, HM, and PV on learners' BI; that metacognition and self-regulation (MS) capabilities enhanced the effects of EE on learners' BI; and that habits had a direct and strong effect on BI. This study also provided some suggestions to enhance higher education learners' willingness to continue online learning, such as improving social recognition and support, careful design of teaching content, easy-to-use technology, financial support. These results and suggestions may guide colleges and universities in conducting, continuing, or enhancing online education, particularly as the pandemic continues.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087573 | PMC |
| http://dx.doi.org/10.3389/fpsyg.2022.857709 | DOI Listing |
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