Generative artificial intelligence in education: Initial principles developed from practitioner reflexive research
Vince Wall,
Alison Bedford and
Petrea Redmond
The Journal of Educational Research, 2025, vol. 118, issue 6, 610-621
Abstract:
This paper explores the use of Generative Artificial Intelligence (GAI) with chat-like functionality (CLF) in education, focusing on the secondary history classroom in an Australian context. It presents a reflexive iterative cycle of professional practice as the methodology for developing strategies using GAI, based on the author’s experience and literature review. It proposes three principles for the effective and ethical use of GAI in education: teach students how to use GAI tools, teach to promote discernment and critical thinking, and teach for the whole human. It demonstrates how GAI can foster student capabilities across the curriculum, aligned with the Australian Curriculum General Capabilities as a means of contributing to the fast-changing conversation about the use of GAI tools in educational settings.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:taf:vjerxx:v:118:y:2025:i:6:p:610-621
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DOI: 10.1080/00220671.2025.2510398
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