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

Don’t miss CRADLE at these education conferences this year

The conference season is ramping up for 2024 and an extraordinary number of the CRADLE family have been successful in having their abstracts accepted. We are especially pleased to see our doctoral students and CRADLE Fellows sharing their research. Catch up on our latest research by joining us at the conferences in person or online.

Join us to find out about evaluative judgement, AI, and authentic assessment

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.

Apply for a Deakin-Coventry Cotutelle Scholarship Now!

Apply for a Deakin-Coventry Cotutelle Scholarship Now! Research feedback with Professor David Boud of CRADLE and Dr Sian Alsop from Coventry University. Submit your interest by Monday April 29.

Congratulations Dr Christoffer Haase on your graduation from CRADLE

Congratulations to Dr Christoffer Bjerre Haase - one of CRADLE’s recent PhD graduates in conjunction with the University of Copenhagen. Christoffer describes the focus of his research and provides some reflections and highlights of his study experience.

Help us in our research: Complete our health professions survey

Are you a health professional involved in assessment of practice-based learning? If so, you can help us in our research. As part of an ACEN grant we are exploring what inclusive assessment of practice-based learning for health professionals might look like. Take our survey now!

Exciting opportunity for two AI Research Fellows at CRADLE

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!

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