Items with Tag: GenAI
How to assess in the age of AI? Join us and find out more
28 June 2024
Join us for this seminar where Professor Phill Dawson and Professor Margaret Bearman of CRADLE will be joined by Associate Professor Jason Lodge from the University of Queensland and Professor Rowena Harper of Edith Cowan University. Together they will unpack the topical questions arising from generative AI and future directions for assessment. Take part online on Wednesday 17 July at 2pm (AEST).
Food, ruins and keynotes: CRADLE team reflect on international visits
14 May 2024
Recently three CRADLE members were invited to visit various international institutions: Dr Joanna Tai to Quality and Qualifications Ireland in Dublin, Professor Phillip Dawson to the Education University of Hong Kong, and Professor Margaret Bearman to the University of Hong Kong. Hear about their experiences and what they learned.
Join us to find out about evaluative judgement, AI, and authentic assessment
13 May 2024
Coming soon: CRADLE Seminar Series 2024 Seminar #4. In this seminar CRADLE's Professor Margaret Bearman and Dr Joanna Tai will discuss AI, evaluative judgement, and authentic assessment. Join us in person or online on Wednesday 29 May at 2pm.
Meet our new genAI Research Fellows
6 March 2024
Meet Dr Jack Walton and Dr Thomas Corbin, two of CRADLE's new Research Fellows. Jack and Tom are helping CRADLE research assessment in a time of genAI.
Assessment reform for the age of AI
24 November 2023
At its 2023 Conference TEQSA published guiding principles and propositions to support the sector in considering the risks and opportunities of genAI. Read and download the principles now.
Exciting opportunity for two AI Research Fellows at CRADLE
22 September 2023
We have an exciting opportunity for two Research Fellows to work on a two year program of research ‘Assessment in a time of genAI’ at CRADLE. The program consists of two distinct projects which aim to contribute to the field of higher education research, through building a theoretically and empirically grounded body of work exploring the intersection of genAI and assessment. Apply now!
