University policies on generative AI in Asia

Promising Practices, Gaps, and Future Directions

Bibliographic Data

ID6433795
AuthorsYun Dai (0000-0002-1199-9855, Chinese University of Hong Kong, corresponding author), Sichen Lai (0009-0002-9436-3816, Chinese University of Hong Kong), Cher Ping Lim (0000-0002-4797-1870, Education University of Hong Kong), Ang Liu (0000-0001-9353-0948, UNSW Sydney)
Year2024
Volume18
Issue2
Pages260-281
Publication date2024-08-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Asian Public Policy (JOURNAL)
Journal identifiersISSN: 1751-6242 • E-ISSN: 1751-6234
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/17516234.2024.2379070
OpenAlexW4401420184
LanguageEN
Citations received17
References cited38

Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities from the QS top 60 Asian universities with inductive content analysis. The review reveals that these policies prioritized text generation applications, student management, and academic integrity, suggesting an effort to uphold traditional academic values and encourage informed adoption. While the universities were at different stages of understanding and managing GenAI, they tended towards a comprehensive approach in formatting their guidance for internal stakeholders and assessment policies. The review also uncovered gaps in policymaking, such as the exclusion of non-academic staff, limited use of evidence-based practices, international misalignments, and a strong adherence to traditional academic paradigms. This scoping review provides a comprehensive and multifaceted overview of policy development in Asian universities, laying the groundwork for global discussions about the role of GenAI in higher education

Academic community · Business · Disk formatting · Engineering ethics · Generative grammar · Knowledge management · Political science · Public relations · Social science · Sociology · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Online Learning and Analytics

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