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Items with category:Research Theme: Learning through, and for, work

Review: Our PhD students discover why being authentic is essential

In this post we hear the perspectives of two CRADLE PhD students, Xin Liu and Nisrina Wibisono, on CRADLE’s most recent seminar “Why authenticity matters: Helping students to find meaning and value in assessment”. This seminar was presented by Dr Tim Chambers, CRADLE Fellow and Senior Lecturer at the School of Psychology.

Official Launch of our GenAI in WIL Resources

CRADLE and WIL Australia successfully launched our new guide “Generative AI in Work-Integrated Learning: Resources for university staff, students, and industry partners” on 28 April 2025. Watch the launch now if you missed it, and read the accompanying Needed Now in L&T article.

Review: Find out where GenAI fits in the feedback equation

In this post we hear from visiting PhD student Peter Bannister. He shares his thoughts on our most recent seminar where Tom Corbin, Joanna Tai and Gene Flenady shared their thoughts on the role of GenAI in effective feedback.

Join us to unlock the potential of GenAI in Work-Integrated Learning

Join us as CRADLE and WIL Australia launch our new guide “Generative AI in Work-Integrated Learning: Resources for university staff, students, and industry partners.” Take part online on Monday 28 April at 11am.

What is the role of GenAI in effective feedback?

For our second seminar of 2025 Dr Thomas Corbin, Dr Gene Flenady, and Associate Professor Joanna Tai will critically examine the role of GenAI in higher education feedback. Join us online or at Deakin Downtown on Wednesday 9 April 2025 at 2pm.

Try our free guide to GenAI in Work-Integrated Learning

We are absolutely delighted to share with you a new guide, developed by CRADLE members and colleagues who attended the 2024 CRADLE Symposium on Generative Artificial Intelligence and Work-Integrated Learning. The guide is intended to support students, university WIL practitioners and educators, and industry or community partners who host students for WIL experiences, in navigating the tricky and ever-evolving landscape of GenAI use across learning and professional work. 

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