Rethinking teaching approaches to integrating AI in teaching and learning

Authors

DOI:

https://doi.org/10.70770/f7239y88

Keywords:

AI in education, AI in teaching and learning, AI framework, AI in education framework, AI-Teacher Pedagogical Frameworks, AI pedagogy

Abstract

Since the introduction of ChatGPT in 2022, the discourse on AI in higher education has evolved from the focus and concerns on its impact on academic integrity to embracing AI in teaching and learning towards enhancing students’ AI literacy. With many AI literacy frameworks, such as UNESCO AI competency and AI in teaching and learning frameworks developed to support educators in adopting AI, there is still a gap in practically applying the framework in teaching. This presents an opportunity to explore developing a holistic AI in teaching approaches that enable educators to incorporate AI in their teaching and provide practical examples to do this. This paper aims to address this gap twofold: first, it presents the five-step approach to integrating AI in teaching, and second, it demonstrates through a case study how to integrate AI in teaching using the AI in teaching and learning framework and constructive alignment. 

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Author Biographies

  • Lilian Schofield, Queen Mary University of London

    Lilian Schofield is a Senior lecturer in Non-Profit Management and the deputy education director (student experience). She is also the academic lead for undergraduate year in industry (YII) programmes. She is passionate about and focused on student skills enhancement practice initiatives and educational approaches that enhance student employability and lifelong learning.

  • Dr Xue Zhou

    Dr Xue Zhou is a Reader in entrepreneurship and Innovation and the Academic head of the AI Education Centre at Queen Mary University of London. Her research interests include digital literacy, digital technology adoption, cross-cultural adjustment, and online professionalism.

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Published

2025-06-06

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