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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In this episode, Joost van Wijchen and Michael discuss the integration of digital technologies in physiotherapy education and practice. They explore dynamic knowledge, technology’s transformative role in education, and the importance of interdisciplinary collaboration, emphasising networked and collaborative learning. The conversation also explores the complex processes of knowledge creation and integration in the digital era.
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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, Ben and Michael speak to Shane Pritchard about using the concept of a ‘grand narrative’ to structure a simulation programme at scale, across multiple disciplines, in schools of health and social care. We’re all familiar with simulation-based activities within, and maybe even across, disciplinary programmes. But what would it take to build a simulation programme across an entire school?
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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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