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This analysis aims to explore the intersection of AI policy and academic autonomy trends in higher education from 2018 to 2025.

March 6, 20260 citations

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Integrating SDG 3 and SDG 4 into AI policy research in Higher Education: A bibliometric analysis of faculty academic autonomy trends (2018-2025)

SAShelly Andari RRRezka Arina Rahma ARAinur Rifqi Rifqi

Key Points

This analysis aims to explore the intersection of AI policy and academic autonomy trends in higher education from 2018 to 2025.
Conducted bibliometric analysis of literature on AI policy and academic autonomy in higher education
Mapped geographical research trends and identified research gaps
Applied Self-Determination Theory and Neo-Institutional Theory to contextualize findings
Identified key trends in AI policy research related to academic autonomy
Found geographical disparities in research focus
Highlighted a significant research gap in AI governance and its educational implications

Abstract

This bibliometric analysis (2018-2025) identified research trends on AI policy and the FAA in Higher Education (HE). It mapped out key trends, geographical research, and a research gap. This study is limited by AI governance’s relation to teaching and the FAA framework. The analysis involved Self-Determination Theory (SDT) and Neo-Institutional Theory to frame the role of autonomy in a changing HE landscape.

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Integrating SDG 3 and SDG 4 into AI policy research in Higher Education: A bibliometric analysis of faculty academic autonomy trends (2018-2025)

Key Points

Abstract

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