Integrating Generative AI in Higher Education: Teachers’ Perceptions Through the TPACK Lens

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Authors: Despoina Georgiou, Annemie Struyf, Jacqueline Wong
Cited by: 7
References: 49

Abstract

Generative AI (GenAI) in education has become a divisive topic. While some teachers view GenAI as a transformative tool, others caution against harms and impacts on teaching and learning. Since the usefulness of a tool depends on the user, how teachers view and use GenAI and their perceptions of its role in teaching and learning may influence its benefits and risks. The study adopts a qualitative approach, interviewing 23 higher education teachers with teaching experience across disciplines. Using the Technological, Pedagogical, and Content Knowledge (TPACK) and sensemaking frameworks to guide and analyse the interviews, a set of opportunities, challenges, and threats associated with integrating GenAI in higher education was identified. Teachers highlighted opportunities, including using GenAI as a study buddy. Concerns were raised about students’ overreliance on GenAI, GenAI undermining the teaching and learning process, and issues like undetected plagiarism. The findings suggest a need for professional development to help teachers understand GenAI and how it can be effectively used in teaching. Some teachers warned against the paradox of using a tool to save time, only to find that it might increase workload and frustration. These insights contribute to developing guidelines and informing policymaking to ensure integration of GenAI in education.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Explainable Artificial Intelligence (XAI) AI in Service Interactions

Publication details

Journal / source
Education Sciences
Publisher
MDPI AG
Volume
16
Issue
4
Pages
531–531
Publication date
27 March 2026
Language
EN