How could AI change work-integrated learning? Join in with our expert panel and find out!
10 September 2024
Wednesday 9 October at 2.30pm
This year’s CRADLE International Symposium ‘How could generative AI change work-integrated learning?’ seeks to unpack timely research questions surrounding artificial intelligence and its role and impact with higher education and work.
As a pivotal highlight of the Symposium program we are pleased to invite you to attend an interactive public panel event.
- When: Wednesday 9 October 2024
- Time: 2.30pm (AEST)
- Where: Online or at Deakin Downtown
- Cost: This is a free event
Our Expert Panellists
- Professor Michael Tomlinson, University of Southampton
- Professor Rola Ajjawi, University of British Columbia
- Dave Cormier, University of Windsor
- Deakin Distinguished Professor David Boud, CRADLE, Deakin University
- Professor Margaret Bearman, CRADLE, Deakin University
This year’s CRADLE International Symposium ‘How could generative AI change work-integrated learning?’ seeks to unpack timely research questions surrounding artificial intelligence and its role and impact with higher education and work. As a pivotal highlight of the Symposium program we are pleased to invite you to an interactive public panel event.
AI is starting to fundamentally change the nature of both work and learning. What about learning through work? Many questions present themselves in a climate of simultaneous opportunities, dilemmas, and hazards. How will generative AI shift relationships between students, university educators and workplaces? How can approaches to workplace learning be reconsidered in light of generative AI? What might be the roles of generative AI in workplace assessment and feedback practices?
Facilitated by CRADLE’s Professor Margaret Bearman this panel discussion will feature an international cast of eminent higher education researchers. The panel will reflect on the emergent intersections between generative AI, higher education, and workplace learning. They will offer potential directions for work-integrated learning in research and practice.
Join us online or at Deakin Downtown for this compelling and interactive panel session that will be the highlight of our International Symposium 2024
Our Panel
About Michael Tomlinson
Professor Michael Tomlinson is Co-Director of the Leadership, Effective Education and Policy (LEEP) research centre at the University of Southampton. Michael is also the Southampton Education School’s Research Impact Champion.
Michael’s research draws principally on sociological approaches to the education/work nexus and he has substantive interests in higher education policy, labour markets, employability and marketisation. He has extensively researched the area of graduate employability and transitions to the labour market and his work is conceptually and critically informed. Michael has pioneered a number of key models, including the Graduate Capital model which has been actively incorporated in the University of Southampton careers and employability strategy, as well as other UK and international institutions. In addition, he has researched developments in higher education policy, including critical approaches to the marketisation of UK higher education and the implications this has for institutions, students and academics.
About Rola Ajjawi
Rola Ajjawi is a Professor in the Department of Surgery, Faculty of Medicine at the University of British Columbia and a Scientist in UBC’s Centre for Health Education Scholarship (CHES).
Rola’s research seeks to create learning environments that support health professional trainees to succeed, particularly in the messiness of practice and workplace learning, examining how supervision can be embedded into clinical practices, how feedback processes unfold, and how to create equitable assessment in the workplace. Her research is strongly theoretical and qualitative and highly relational; revealing the taken for granted assumptions about and hidden complexities of practice, and to extend understanding of methodologies that unravel these. She leads several programs of research into feedback and workplace learning cultures, student failure and success, and latterly belonging and well-being in health professions education.
About Dave Cormier
Dave Cormier is a learning specialist for digital strategy and special projects at the Office of Open Learning (OOL) at the University of Windsor in Ontario, Canada
Dave’s research investigates how technologies change as it relates to what it means to learn and to have learned. He is a strategic leader of complex educational systems and services, with expertise in designing/supporting digital infrastructure and open pedagogy. Dave has been a teacher, researcher and author for over 25 years and his new book, Learning in a Time of Abundance: the community is the curriculum, explores the notion of the enormity of information available and ways to learn.
About David Boud
Deakin Distinguished Professor David Boud is CRADLE’s Foundation Director. Dave is also Emeritus Professor at University of Technology Sydney.
Dave’s current research involves assessment for learning in higher education, academic formation, and workplace learning. He has been involved in research and teaching development in adult, higher and professional education for over 40 years and has contributed extensively to the literature. He is one of the most-cited researchers in the world in the fields of education and higher education. Dave received the Career Achievement Award at the 2022 Australian Awards for University Teaching. He has published extensively on teaching, learning and assessment in higher and professional education and conducted professional development workshops for academics worldwide.
About Margaret Bearman
Professor Margaret Bearman is Professor of Research at CRADLE. She holds a first class honours degree in computer science and a PhD in medical education.
Margaret’s interests span higher and professional education. Margaret is known for her work in assessment design, feedback, education in a digital world, and most recently, artificial intelligence. Margaret is predominantly a qualitative researcher but is methodologically diverse with experiences in post-qualitative research, participatory or co-design approaches, formal analyses of the literature, and ethnography/observational studies.
