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Factors predicting University students' behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with 'Learning Value'.
Zacharis, Georgios; Nikolopoulou, Kleopatra.
  • Zacharis G; Department of Faculty of Education, School of Early Childhood Education, Faculty of Education Tower, Aristotle University of Thessaloniki, Aristotle University Campus, 541 24 Thessaloniki, Greece.
  • Nikolopoulou K; Department of Early Childhood Education, School of Education, National and Kapodistrian University of Athens, Navarinou 13A, 10680 Athens, Greece.
Educ Inf Technol (Dordr) ; 27(9): 12065-12082, 2022.
Article in English | MEDLINE | ID: covidwho-1942153
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Long Covid Language: English Journal: Educ Inf Technol (Dordr) Year: 2022 Document Type: Article Affiliation country: S10639-022-11116-2

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Long Covid Language: English Journal: Educ Inf Technol (Dordr) Year: 2022 Document Type: Article Affiliation country: S10639-022-11116-2