{"id":29907,"date":"2025-12-08T09:27:12","date_gmt":"2025-12-08T01:27:12","guid":{"rendered":"https:\/\/www.curtin.edu.au\/news\/?post_type=media-release&p=29907"},"modified":"2025-12-08T12:04:25","modified_gmt":"2025-12-08T04:04:25","slug":"new-framework-outlines-best-practice-for-ai-in-higher-education","status":"publish","type":"media-release","link":"https:\/\/www.curtin.edu.au\/news\/media-release\/new-framework-outlines-best-practice-for-ai-in-higher-education\/","title":{"rendered":"New framework outlines best practice for AI in higher education"},"content":{"rendered":"\n

The Australian Centre for Student Equity and Success<\/a> (ACSES) has today published The Australian Framework for Artificial Intelligence in Higher Education<\/a>,<\/em> which sets out to provide guidance to higher education institutions on how they implement AI.<\/p>\n\n\n\n

The Framework outlines both the transformative powers and potential challenges faced by the continued use of AI in higher education, with a central focus on the need to maintain equity and ethical innovation.<\/p>\n\n\n\n

While AI technology is constantly advancing, the Framework addresses the immediate need for higher education institutions to maintain core principles such as human-centred learning and research integrity while investing in AI integration.<\/p>\n\n\n\n

Lead author Professor Jason Lodge, from the University of Queensland, said the challenges AI poses in higher education cannot be solved by a single institution and the Australian sector must share the responsibility of AI innovation rather than competing.<\/p>\n\n\n\n

\u201cOur central focus with this Framework is equity: we cannot allow AI integration to amplify existing digital divides,\u201d Professor Lodge said.<\/p>\n\n\n\n

\u201cInstead, we must proactively ensure these technologies enhance educational opportunity for all students.\u201d<\/p>\n\n\n\n

ACSES Research and Policy Program Director Professor Ian Li said the Framework will pave the way for the industry collaboration needed to reap the educational benefits of AI and avoid its pitfalls.<\/p>\n\n\n\n

\u201cAI has the potential to benefit students in their education, but could also exacerbate inequality in educational outcomes, particularly for students from equity backgrounds,\u201d Professor Li said.<\/p>\n\n\n\n

\u201cThe Framework provides useful guidance for the sector to navigate opportunities and challenges from AI in education.\u201d<\/p>\n\n\n\n

A collaborative project, the Framework\u2019s authors include Professor Lodge, Professor Matt Bower (Macquarie University), Professor Kalervo Gulson (University of Sydney), Professor Michael Henderson (Monash University), Associate Professor Christine Slade (University of Queensland) and Associate Professor Erica Southgate (University of Newcastle), with the Australian National AI in Schools Taskforce.<\/p>\n\n\n\n

Key highlights include:<\/strong><\/p>\n\n\n\n