Ben and I talk to Lambert Schuwirth about the development of HPE-Bot, a chatbot based on the GPT language model, and its implications for health professions education. The conversation explores AI’s potential effects on teaching, assessment, and learner behaviour, raising concerns about accuracy and institutional adaptation. While we highlight the ongoing challenges with integrating AI into professional education, we tend to agree that the opportunities for driving much needed change, are significant.
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As the global higher education sector faces ongoing financial pressures, the core purposes of universities—knowledge transmission, skill development, personal growth, and research—are increasingly being scrutinised. While commercial value in research and skills predominates, debates persist about the fundamental role of education amidst escalating costs and societal impacts. It remains important to critique higher education’s effectiveness and economic rationale, highlighting systemic issues and potential reforms.
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Published November 1, 2020 by Michael Rowe
In medical education, teaching is currently viewed as an intervention that causes learning. The task of medical education research is seen as establishing which educational interventions produce the desired learning outcomes. This ‘medical model’ of education does not do justice to the dynamics of education as an open, semiotic, recursive system rather than a closed,…
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