Testing our 24-month GenAI Academic Integrity Predication: Did we get it right?

Sasha Nikolic; Peter Neal; Rezwanul Haque; Scott Arthur Daniel; Sarah Grundy; Marina Belkina; Sarah Lyden; Ghulam Mubashar Hassan

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Testing our 24-month GenAI Academic Integrity Predication: Did we get it right?

Sasha Nikolic, Peter Neal, Rezwanul Haque, Scott Arthur Daniel, Sarah Grundy, Marina Belkina, Sarah Lyden and Ghulam Mubashar Hassan

AAIEEC Blog & News, Vol.27 May 2025

Australasian Artificial Intelligence in Engineering Education Centre

2025

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Abstract

Two and a half years ago, the release of ChatGPT-3.5 sent shockwaves through educational institutions. The realisation that a freely available AI could pass university-level assessments triggered widespread concern. In response to this upheaval, we launched one of the largest multi-institutional collaborative studies to assess the real-world impact of generative AI across all major assessment types. This study broke many records.

Details

Title: Testing our 24-month GenAI Academic Integrity Predication: Did we get it right?
Authors: Sasha Nikolic - University of Wollongong
Peter Neal - UNSW Australia
Rezwanul Haque - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Scott Arthur Daniel - University of Technology Sydney
Sarah Grundy - UNSW Sydney
Marina Belkina - Western Sydney University
Sarah Lyden - University of Tasmania
Ghulam Mubashar Hassan - University of Western Australia
Publication details: AAIEEC Blog & News, Vol.27 May 2025
Publisher: Australasian Artificial Intelligence in Engineering Education Centre
Date published: 2025
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 991128903702621
Output Type: Blog

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