Items with Tag: Margaret Bearman

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!

It’s time! Join us for the CRADLE International Symposium 2023

Chaired by Professor Rola Ajjawi, the symposium seeks to trouble superficial and instrumental practices of authentic assessment, re-orienting it towards the increasingly uncertain future. We are pleased to present three exciting public events as pivotal highlights of the symposium program. These include a Keynote Presentation and two interactive Panel Sessions. Register now for your chance to join us.

Great work! Dr Damian Castanelli graduates from CRADLE

Congratulations to Dr Damian Castanelli - one of CRADLE’s recent PhD graduates! Damian describes the focus of his research and provides some reflections and highlights of his study experience.

Assessment Reform for the Age of Artificial Intelligence

Join us on Thursday 28 September at 3pm for the fifth webinar in our popular genAI webinar series with TEQSA. Student use of genAI is increasingly commonplace, so how do we re-imagine our assessment design? This webinar presents TEQSA's draft guiding principles to rethink assessment.

ChatGPT – what do we need to know now?

TEQSA and CRADLE present this first webinar in the "Implications of Generative Artificial Intelligence for Higher Education” series. Join us!

Assessment for Inclusion: a tale of two papers

In this post we hear from CRADLE’s Professor Margaret Bearman who discusses two published papers on a similar topic - repositioning of assessment for inclusion - and highlights the issues of researchers and collaborators publishing on the same topic within close timeframes.

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