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

Autor/inn/en	Knight, Simon; Dickson-Deane, Camille; Heggart, Keith; Kitto, Kirsty; Kozanoglu, Dilek çetindamar; Maher, Damian; Narayan, Bhuva; Zarrabi, Forooq
Titel	Generative AI in the Australian education system: An open data set of stakeholder recommendations and emerging analysis from a public inquiry.
Quelle	In: Australasian journal of educational technology, 39 (2023) 5, S. 101-124Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2); PDF als Volltext kostenfreie Datei (3) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1449-5554
DOI	10.14742/ajet.8922
Schlagwörter	Bildung; Informationstechnologische Bildung; Inhaltsanalyse; Informations- und Kommunikationstechnologie; Künstliche Intelligenz; Medienethik; Australien; Bildung; Bildungspolitik; Inhaltsanalyse; Künstliche Intelligenz; Partizipation; Bildungspolitik; Partizipation; Open Science; Australien
Abstract	In mid-2023, the Australian Federal Government held an inquiry on potential uses, impacts and risks of Generative Artificial Intelligence (AI), 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. The paper provides an overview and synthesis of submission recommendations and their themes, by source type. It also supports reflection regarding synergies and gaps in recommendations, pointing to opportunity for collaboration and policy development. [Abstract: Authors' information].
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2024/1