ArticleEducation and information technologies2022
Factors predicting University students' behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with 'Learning Value'.
Article in Education and information technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- What drives preservice teachers' use of generative AI as instructional media? A structural and configurational analysis.Frontiers in artificial intelligence · 2026Article
- What predicts university students' behavioral intention to use education influencers in higher education? A study through the lens of the UTAUT model and self-determination theory.Frontiers in psychology · 2026Article
- Determinants of acceptance and usage of generative AI among Chinese medical students: a UTAUT-based empirical investigation.Frontiers in psychology · 2026Article
- Applying UTAUT2 model to investigate acceptance of DeepSeek by Chinese university students for academic use.Frontiers in psychology · 2026Article
- Exploring the determinants on continuance participation of college students toward blended learning: the stimulating role of course characteristics and instructor support.Frontiers in psychology · 2025Article
- Article
- Determinants affecting the medical students adoption of mobile learning: extended UTAUT.BMC medical education · 2024Article
- Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling.Scientific reports · 2024Article
- Article
- E-learning platforms in ideological and political education at universities: students' motivation and learning performance.BMC medical education · 2024Article
- The impact of pedagogical beliefs on the adoption of generative AI in higher education: predictive model from UTAUT2.Frontiers in artificial intelligence · 2024Article
- Predicting students' continued intention to use E-learning platform for college English study: the mediating effect of E-satisfaction and habit.Frontiers in psychology · 2023Article
- Study on factors influencing college students' digital academic reading behavior.Frontiers in psychology · 2022Article
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2 authors.
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Abstract
The use of eLearning platforms has made it possible to continue the learning process in universities, and other educational institutions, during the Covid pandemic. Students' acceptance of eLearning is important because it is associated with their engagement in the online teaching-learning environment. This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2: Venkatesh et al., 2012) to determine the factors predicting the behavioral intention of university students' to use eLearning platforms in the post-pandemic era. UTAUT2 was extended to include the constructs 'Learning Value' and 'Empowerment in Learning'. 314 students from different universities across Greece participated by completing an online questionnaire. Performance Expectancy, Social Influence, Hedonic Motivation, Learning Value and Habit had a significant impact on students' intention to use eLearning platforms to learn, while Facilitating Conditions and Learning Value had a direct impact on actual use. The findings enhance the research applying the UTAUT2 model, with the Learning Value, for the investigation of students' intention to use eLearning platforms in the post-Covid era. We suggest for Learning Value to be included in future research in an educational context.
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