In beta Ben and Michael

In this episode, we speak to Ben Gordon about the implications of remote-only physiotherapy management, facilitated by technology. Our discussion centres around the shifting dynamics when physiotherapy is conducted virtually rather than in-person, and how this departure from traditional norms might reshape the core tenets of the profession. We explore the affordances of remote practice,…

In this conversation, Ben and I speak to Lambert Schuwirth. We wanted to get Lambert’s take on the impact of artificial intelligence in health professions education, and started the conversation with his involvement in the development of HPE-Bot. HPE-Bot is a chatbot interface to the GPT language model, which Lambert has been co-designing with Stephen…

This episode was never meant to be a podcast. Joost and I were meeting to brainstorm a few preliminary idea for an Erasmus+ funded Blended Intensive Programme on Digital Health that we’re teaching on. We recorded the conversation so that we could refer back to it when we start building the session we’re facilitating, but…

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…

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?

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.