Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’
Open accessAbstract
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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Effort expectancy includes the dimension of perceived ease of use, which positively influences users' behavioral intention to adopt and use platform economy.
“Effort expectancy includes the dimension of perceived ease of use, which positively influences users' behavioral intention to adopt and use platform economy [17,42,43].”
From Unraveling the Determinants of Platform Economy Adoption in Developing Countries: An Extended Application of the UTAUT2 Model with a Privacy Calculus Perspective (2023) · cites this paper as [43]
The Effort expectancy section defines the construct in terms of ease of use, but the Results > Structural model section reports that its effect on behavioral intention was not supported (β = −0.067, p > 0.05), contrary to the claimed positive influence. The study concerns university students’ use of eLearning platforms, not the platform economy; page numbers are unavailable in our copy. (LLM, conf=0.86)
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Strzelecki, A. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2209881 · Cited by 807 · see citing works
Strzelecki, A. (2024) · Innovative Higher Education · doi:10.1007/s10755-023-09686-1 · Cited by 477 · see citing works
“Recent studies also examine how these factors can be affected by different contextual factors, such as the COVID-19 pandemic (Osei et al., 2022; Zacharis & Nikolopoulou, 2022), and how they can be utilized to improve the design and implementation of educational technology tools.”
Dahmani, M., & Ben Youssef, A. (2023) · Platforms · doi:10.3390/platforms1010005 · Cited by 15 · see citing works
“Effort expectancy includes the dimension of perceived ease of use, which positively influences users’ behavioral intention to adopt and use platform economy [17,42,43].”
Background
- Authors
- Zacharis, G., & Nikolopoulou, K.
- Affiliations
- Aristotle University of Thessaloniki (GR)
- Corresponding author
- Zacharis, Georgios
- Venue
- Education and Information Technologies
- Published
- 2022-05-25
- Volume
- 27
- Issue
- 9
- Pages
- 12065-12082
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC9130973
- OpenAlex
- W4281492256
- Cited by
- 165
- References
- 2
- Citations by year
- 2026: 31 · 2025: 48 · 2024: 52 · 2023: 33 · 2022: 1
- FWCI
- 28.03
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Education and Information Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Technology-Enhanced Education Studies
- Social Sciences › Education › Online and Blended Learning
- Keywords
- eLearning platform, behavioral intention, UTAUT2, value of learning, university students, post-pandemic education, technology acceptance, performance expectancy, social influence, hedonic motivation, habit, facilitating conditions, online learning
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