The rapid advancement of AI technologies, particularly generative AI, has driven important conversations about academic integrity and the potential for cheating in higher and professional education. However, rather than viewing AI solely as a threat, we have an opportunity to explore how it can be thoughtfully integrated into our teaching and assessment practices to enhance learning outcomes.
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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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Note: We recorded this conversation in the middle of 2023 but for various reasons I was only able to edit it and get it published now. In this conversation, Ben and I had discuss the assessment process, linking it to broader themes of learning, curriculum design, and student experience. We talk about the centralisation of…
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In this episode, we discuss the implications of generative AI on assessment, and on learning and teaching more broadly. This was a wide-ranging conversation that explored some of the detail around how language models work, it’s inability to compare responses to valid models of the world, practical uses for AI in teaching, learning, and assessment, and the risks of having AI being trained on data generated by AI.
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