Work

Guidelines and frameworks of governance for the adoption of generative artificial intelligence in higher education institutions: a scoping review

Year: 2025

Type: article

Abstract: 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.

Source: Revista de Administração da UFSM

DOI: 10.5902/1983465990871

Authors: Maria Gabrielle Soares Gomes, Anatália Saraiva Martins Ramos, Karoline de Oliveira

Institutions: Universidade Federal do Rio Grande do Norte, Universidade Federal do ABC

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

Funder: Universidade Federal de Santa Maria