Six Institutional Intervention Areas to Support Ethical and Effective Student Use of Generative AI in Higher Education: A Narrative Review

Read full text
Authors: Shan Jayasinghe, Kelum A. A. Gamage, Dandan Yang, Chuang Cheng, Chamara Disanayake, Uje D. Apeji
Cited by: 17
References: 117

Abstract

The integration of generative AI tools, such as ChatGPT, Gemini, and DeepSeek, into higher education offers transformative opportunities for personalised learning and academic productivity. However, their unregulated use raises concerns about academic integrity, critical thinking, and educational equity. This systematic review synthesises insights from 96 peer-reviewed articles, identifying six key intervention themes, namely, curriculum integration, policy and governance, faculty development, student-centred strategies, assessment adaptation, and technological infrastructure. Together, these themes form a comprehensive intervention framework designed to guide students’ ethical and effective engagement with AI. This review highlights the need for institutions to move beyond fragmented policies, fostering systemic cultural and pedagogical change to align AI use with authentic learning outcomes. By bridging theoretical gaps and providing actionable strategies, this framework equips educators and policymakers to scaffold responsible AI integration across diverse higher education contexts.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Online Learning and Analytics Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Education Sciences
Publisher
MDPI AG
Volume
16
Issue
1
Pages
137–137
Publication date
16 January 2026
Language
EN