Generative AI in the Australian Education System: An Open Dataset of Stakeholder Recommendations and Emerging Analysis from a Public Inquiry

Dataset accompanying AJET paper of the same name. 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...

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Bibliographische Detailangaben
Hauptverfasser: Knight, Simon, Dickson-Deane, Camille, Heggart, Keith, Kitto, Kirsty, Kozanoglu, Dilek Cetindamar, Maher, Damian, Narayan, Bhuva, Zarrabi, Forooq
Format: Dataset
Sprache:eng
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Zusammenfassung:Dataset accompanying AJET paper of the same name. 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.
DOI:10.26195/jjaa-7p04