A University’s Comprehensive and Integrated Response to Generative AI in Assessment: Preparing for a New Educational Landscape

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aut.event.date2024-09-04 to 2024-09-04
aut.event.place, Dunedin
dc.contributor.authorDavies, John
dc.contributor.authorMann, Nell
dc.contributor.authorChanane, Nawal
dc.date.accessioned2024-09-03T02:40:54Z
dc.date.available2024-09-03T02:40:54Z
dc.date.issued2024-08-15
dc.description.abstractThe continued development of generative Artificial Intelligence (AI) has caused tertiary education to review and evaluate their assessment practices. At Auckland University of Technology (AUT), we have taken a whole-of-institution approach to the systematic integration of generative AI into assessment design. This work is grounded in a new set of Assessment Principles, Policy and Procedures that provide a foundation on which to build a sustainable approach to the integration of generative AI into assessment and feedback design. Alongside the policy, a framework has been created to enable teaching staff to make informed short and longer-term decisions about assessment design. In this short paper, we aim to showcase our approach by focusing on three areas: (1) exploring the broader contexts related to generative AI and its influence on our work at AUT, (2) detailing our specific responses to generative AI and assessment that align with institutional strategy, and (3) anticipating future opportunities and challenges in implementing our approach at scale.
dc.identifier.citationDavies, J., Mann, N. & Chanane, N. (2024, September 4). A University’s Comprehensive and Integrated Response to Generative AI in Assessment: Preparing for a New Educational Landscape. Presented at the New Zealand AI in Higher Education Symposium - Connecting New Zealand's universities to pioneer the future of AI-enhanced education, Castle 2 Lecture Theatre, University of Otago, Dunedin, New Zealand. Retrieved from [https://events.otago.ac.nz/aihe-2024/].
dc.identifier.urihttp://hdl.handle.net/10292/17957
dc.publisherUniversity of Otago
dc.relation.urihttps://events.otago.ac.nz/aihe-2024/
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version)
dc.rights.accessrightsOpenAccess
dc.titleA University’s Comprehensive and Integrated Response to Generative AI in Assessment: Preparing for a New Educational Landscape
dc.typec-conference
pubs.elements-id565907
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