Generative AI in the Australian education system : An open data set of stakeholder recommendations and emerging analysis from a public inquiry

The launch of new tools in late 2022 heralded significant growth in attention to the impacts of generative AI (GenAI) in education. Claims of the potential impact on education are contested, but there are clear risks of inappropriate use particularly where GenAI aligns poorly with learning aims. In...

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Veröffentlicht in:Australasian Journal of Educational Technology 2023-01, Vol.39 (5), p.101-124
Hauptverfasser: Simon Knight, Camille Dickson-Deane, Keith Heggart, Kirsty Kitto, Dilek Çetindamar Kozanoglu, Damian Maher, Bhuva Narayan, Forooq Zarrabi
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Sprache:eng
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Zusammenfassung:The launch of new tools in late 2022 heralded significant growth in attention to the impacts of generative AI (GenAI) in education. Claims of the potential impact on education are contested, but there are clear risks of inappropriate use particularly where GenAI aligns poorly with learning aims. In response, in mid-2023, the Australian Federal Government held an inquiry, calling for public submissions. This inquiry offers a lens onto the policy framing of GenAI in education and provides the object of investigation for this paper. We use the inquiry submissions, extracting structured claims from each. This extraction is provided as an open data set for further research, while this paper focuses on our analysis of the policy recommendations made. [Author abstract]
ISSN:1449-5554
1449-3098
1449-5554
DOI:10.14742/ajet.8922