Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model-Reference-Cited by-同舟云学术

Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model

Published:2023-02-22 Issue:1 Volume:37 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Alhwaiti Mohammed¹^ORCID

Affiliation:

1. Assistant of Special Education, Faculty of Education, Umm Al Qura University, Mekka, Saudi Arabia

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2175110

Reference65 articles.

1. Factors influencing students’ acceptance of m-learning: An investigation in higher education

2. Why students use social networks for education: Extension of UTAUT2

3. The Association of Career Talent Self-Efficacy, Positive Future Expectations and Personal Growth Initiative

4. Crisis-centric distance learning model in Jordanian higher education sector: factors influencing the continuous use of distance learning platforms during COVID-19 pandemic

5. Factors Affecting Technology Acceptance During COVID-19 Crisis in Egyptian Higher Education

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