Guidelines and frameworks of governance for the adoption of generative artificial intelligence in higher education institutions: a scoping review
DOI :
https://doi.org/10.5902/1983465990871Mots-clés :
Generative artificial intelligence, Higher education, Governance of generative artificial intelligenceRésumé
Purpose: This study examines academic production on guidelines and frameworks for the governance of generative artificial intelligence in higher education institutions.
Design/methodology: A scoping review was conducted utilizing the Web of Science database, analyzing publications from 2023 and 2024.
Findings: The results were organized into four thematic clusters: guidelines and frameworks, challenges in the adoption of generative artificial intelligence governance in higher education, stakeholder perceptions, and research gaps.
Research implications: The study provides insights and could serve as a reference for adopting generative artificial intelligence in other institutions.
Originality/value: This research contributes to the body of studies focused on the integration and governance of generative artificial intelligence in higher education institutions.
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(c) Tous droits réservés Maria Gabrielle Soares Gomes, Anatália Saraiva Martins Ramos, Karoline de Oliveira 2025
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