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Toward Responsible Integration: A Review of Applications, Capabilities, and Perceptions of Generative AI in Higher Education
Journal article   Open access   Peer reviewed

Toward Responsible Integration: A Review of Applications, Capabilities, and Perceptions of Generative AI in Higher Education

Ying Qian and Nicholas Bowman
Education sciences, Vol.16(2), 323
02/17/2026
DOI: 10.3390/educsci16020323
url
https://doi.org/10.3390/educsci16020323View
Published (Version of record) Open Access

Abstract

Generative AI (GenAI) has attracted a surge of attention from higher education constituents after OpenAI released ChatGPT in November 2022. While numerous articles discuss applications and perceptions of GenAI in higher education, no comprehensive review has considered commonalities and differences among various educational stakeholder groups and contexts. In this review, we synthesize the applications, capabilities, and perceptions of GenAI in higher education to provide stakeholders (i.e., students, instructors, researchers, staff, and administrators) with insights into this topic to facilitate GenAI integration in higher education. We reviewed 50 relevant empirical articles published from January 2023 to April 2025 on GenAI in higher education. Our findings demonstrate how GenAI has already been applied and present its potential for implementation across teaching and learning, research, and student affairs in higher education. Among various stakeholders in higher education, students hold a more open and positive attitude toward this rising technology, while instructors and researchers hold mixed attitudes toward GenAI usage, and administrators tend to hold an open but cautious attitude toward GenAI implementation. Addressing common stakeholder concerns and needs, we outline institutional strategies for responsible GenAI integration, including launching GenAI learning hubs, formalizing license agreements, redefining academic originality, and implementing pilot programs.
Academic Achievement Comparative Education Data Analysis Higher Education Transportation Addition Artificial Intelligence Authors Chatbots Cheating Comparative Analysis Course Content Data Collection Educational Assessment Educational Objectives Generative artificial intelligence Influence of Technology Instructional Innovation Learner Engagement Learning Native Language Perceptions Reference Materials Researchers School Policy Stakeholders Students Teaching World Problems

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