Investigating computer science students' intentions towards the use of an online educational platform using an extended technology acceptance model (e-TAM): An empirical study at a public university in Tunisia-Reference-Cited by-同舟云学术

Investigating computer science students' intentions towards the use of an online educational platform using an extended technology acceptance model (e-TAM): An empirical study at a public university in Tunisia

Published:2024-01-09 Issue: Volume: Page:
ISSN:1360-2357
Container-title:Education and Information Technologies
language:en
Short-container-title:Educ Inf Technol

Author:

Adouani Yassine,Khenissi Mohamed Ali^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10639-023-12437-6.pdf

Reference43 articles.

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2. Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023). Extending the technology acceptance model (TAM) to Predict University Students’ intentions to use metaverse-based learning platforms. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11816-3

3. Almaiah, M. A., & Alismaiel, O. A. (2018). Examination of factors influencing the use of mobile learning system: An empirical study. Education and Information Technologies, 24(1), 885–909. https://doi.org/10.1007/s10639-018-9810-7

4. Almaiah, M. A., Jalil, M. A., & Man, M. (2016). Extending the TAM to examine the effects of quality features on mobile learning acceptance. Journal of Computers in Education, 3, 453–485. https://doi.org/10.1007/s40692-016-0074-1

5. Alshurideh, M. T., Abuanzeh, A., Al Kurdi, B., Akoure, I., & AlHamad, A. (2023). The effect of teaching methods on university students’ intention to use online learning: Technology Acceptance Model (TAM) validation and testing. International Journal of Data and Network Science, 7, 235–250. https://doi.org/10.5267/j.ijdns.2022.10.009

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