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ERIC Number: EJ1459390
Record Type: Journal
Publication Date: 2024
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1449-3098
EISSN: EISSN-1449-5554
Available Date: N/A
A Systematic Literature Review of Attitudes, Intentions and Behaviours of Teaching Academics Pertaining to AI and Generative AI (GenAI) in Higher Education: An Analysis of GenAI Adoption Using the UTAUT Framework
Sasha Nikolic; Isabelle Wentworth; Lynn Sheridan; Simon Moss; Elisabeth Duursma; Rachel A. Jones; Montserrat Ros; Rebekkah Middleton
Australasian Journal of Educational Technology, v40 n6 p56-75 2024
The rapid advancement of artificial intelligence (AI) has outpaced existing research and regulatory frameworks in higher education, leading to varied institutional responses. Although some educators and institutions have embraced AI and generative AI (GenAI), other individuals remain cautious. This systematic literature review explored teaching academics' attitudes, perceptions and intentions towards AI and GenAI, identifying perceived benefits and obstacles. Utilising the unified theory of acceptance and use of technology framework, this study reveals positive attitudes towards AI's efficiency and teaching enhancement, but also significant concerns about academic integrity, accuracy, reliability, skill development and the need for comprehensive training and policies. These findings underscore the necessity for institutional support to navigate the integration of AI and GenAI in tertiary education.
Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: https://ajet.org.au/index.php/AJET
Publication Type: Journal Articles; Information Analyses
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A