Iranian Journal of Public Policy

Iranian Journal of Public Policy

AI Governance in Higher Education: A Meta-Synthesis Research

Document Type : Review Article

Authors
Javad Pourkarimi 1
Mahsa Azizi 2
1 Associate Professor of Educational Management, Faculty of Psychology and Educational Sciences, University of Tehran, Tehran, Iran
2 Ph.D. Student of Educational Management, Faculty of Psychology and Educational Sciences, University of Tehran, Tehran, Iran
10.22059/jppolicy.2026.106381
Abstract
The present study was conducted to present a model of policy requirements for artificial intelligence governance in higher education. For this purpose, a qualitative approach and the Sandelowski and Barroso (2007) meta-synthesis method were used. Among the scientific documents available in scientific databases from 2020 to June 2025, 24 scientific documents were selected and analyzed. Thematic analysis was employed to analyze the findings. To ensure quality control of the research findings, descriptive and interpretive validity were examined. According to the results, the model of artificial intelligence governance in higher education includes educational-research policy requirements (educational policy and research policy), ethical policy requirements (transparency and value-based policy, justice-oriented policy, responsibility and accountability policy), technological policy requirements (adaptive policy, technical support policy, acceptance and promotion policy, protective and risk policy), functional policy requirements (coherence and integration policy, supervisory policy), and communicative policy requirements (networking policy and participatory policy).
Keywords
Policy-Making Requirements
AI Governance
Higher Education
Meta-Synthesis
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Iranian Journal of Public Policy
Volume 12, Issue 1
Winter 2026
Pages 225-243