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ERIC Number: EJ1379948
Record Type: Journal
Publication Date: 2023
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2156-7069
EISSN: EISSN-2156-7077
Available Date: N/A
Predicting the Secondary School Students' Intention to Use E-Learning Technologies
Bahçekapili, Ekrem
Research in Learning Technology, v31 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to use e-learning. This study explains secondary school students' intentions to use e-learning with an extended Technology Acceptance Model (TAM). TAM is a useful theory to explain how people adopt new technologies in different fields. Data were collected from 2739 secondary school students in Turkey (M[subscript]age = 11.95). Confirmatory factor analysis (CFA) and structural equation modelling (SEM) were used to test the conceptual model. The results are consistent with the original TAM model. The most critical variable affecting secondary school students' intention to use e-learning technologies is enjoyment. The results show that there may be differences in the intention to use e-learning technologies for secondary school students in different cultures and contexts.
Association for Learning Technology. Gipsy Lane, Headington, Oxford OX3 0BO, UK. e-mail: enquiries@alt.ac.uk; Web site: https://journal.alt.ac.uk
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey
Grant or Contract Numbers: N/A
Author Affiliations: N/A