Category: Learning
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From oppression to liberation – PBL2025 conference
Institutional responses to AI—detection software, control policies—reveal that education has always measured proxies for learning rather than learning itself. PBL’s foundational commitments to agency, collaborative knowledge construction, and authentic problems position it to respond differently, enabling students to maintain control over meaning through context sovereignty while developing evaluative judgement about what deserves to exist.
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AI and judgement: Cultivating taste in an age of capability
Content creation is trivially easy now. Curation—selecting what to make—is also becoming easier as AI learns your patterns. What remains is taste: evaluative judgement about what should exist in the first place. AI can be descriptive but not evaluative. It can learn your preferences but cannot judge whether they’re worth amplifying. That’s your responsibility.
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[Link] Reflections on the proliferation, use and misuse of (generative) AI
Cheating is a social problem. We should not be trying to use technology to solve a social problem.
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Context Sovereignty in AI and learning – AMEE AI symposium
Current AI chatbots can’t access your persistent knowledge structures, forcing repetitive prompting and limiting meaningful learning. Context sovereignty changes this by letting you maintain control over your personal learning data while using AI to amplifie your intent. Rather than asking “what can AI do?” we should ask “what context do I bring to shape AI’s…
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Learning sometimes happens, despite our best efforts
Sometimes I’m struck by how often learning happens, despite our best efforts.
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Reimagining HPE with AI – Council of Deans of Health
When students use AI to bypass meaningful learning, they show that our assignments were already completable without real engagement. Using AI to optimise for grades over understanding makes this strategic behaviour more visible. The real issue isn’t the technology—it’s the misaligned incentives that reward compliance over authentic learning.
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AI is a means of transforming information
AI-powered information transformation extends beyond simple summarisation. When we view recorded lectures as raw material, students can engage with content through multiple transformations: translation, simplification, connection, personalisation, expansion, and critique. This approach shifts learning from passive consumption to active engagement, preparing students for real-world information adaptation.
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AI in physiotherapy education – Canadian Physiotherapy Association
This workshop introduces clinical instructors to state-of-the-art generative AI applications in physiotherapy education, with a focus on practical implementation strategies for educational content development. Through interactive demonstrations and guided exercises, participants will explore how AI tools can enhance their teaching practice while maintaining high educational and clinical standards. The workshop addresses three key areas: content…
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Health Professions Education with AI – SUPSI
In this workshop presentation, I argue that using AI to support learning represents an opportunity to explore an alternative educational paradigm where we reimagine what’s possible, rather than doing the same thing, only better.
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Efficiency in teaching is important, but learning is importanter
When we focus solely on how AI can automate teaching tasks, we miss its transformative potential for learning. The question isn’t whether AI can grade papers faster, but whether it might help learners navigate complexity, connect diverse perspectives, and construct meaning in ways previously unimaginable in traditional educational environments.
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Thinking with AI: A framework for active engagement
Thinking with AI requires intentional engagement rather than passive consumption. This post presents a four-level framework—from using AI as a sounding board to developing systematic comparative analysis—to help health professions educators maintain active collaboration with AI tools while preserving human agency and critical thinking skills.
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Using AI as a thinking partner to support learning
Instead of outsourcing your thinking to AI, discover how it can create supportive learning environments for deeper work by generating scenarios, providing alternative perspectives, organising your insights, and offering feedback on your ideas.
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Introduction to AI for Learning – BIP AI for Students
In this presentation for the 2025 Blended Intensive Programme on AI for Students, I explore how the integration of AI in health professions education transforms learning by serving as a coach, creative partner, research assistant, and clinical companion. This collaborative approach enhances students’ abilities to handle complex clinical scenarios while maintaining professional judgment as the…
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Weekly digest 44
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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More details on HPE-Bot
HPE-Bot is a fantastic project being driven by someone deeply committed to health professions and medical education. If you think that generative AI is over-hyped, or that it doesn’t really have a place in HPE, consider playing around with this tool. I think you’ll be pleasantly surprised.
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Context matters: Misleading Headlines and Generative AI
Misleading headlines about generative AI can distort public perception. While you could reasonably claim that the capabilities of AI are overestimated in some areas, it’s actually underestimated in others (like education). This post critiques an article’s clickbait title, emphasising the importance of reading beyond headlines, especially if you’re going to share further. It argues for…
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Generative AI and student learning
As generative artificial intelligence (gen AI) tools continue to evolve and become more sophisticated they present opportunities and risks to student learning. In this video, Sydney University’s Danny Liu takes us through some of the ways students could be using and misusing gen AI for assessment, and offers some thoughts on how to address these…
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Physiopedia AI course for healthcare professionals is now live
The Physiopedia AI Masterclass for Healthcare Professionals Programme is a comprehensive course exploring AI’s impact on healthcare education, research, and clinical practice. This free online programme introduces frontier AI models, discusses AI’s potential in enhancing learning and research, and examines its role in diagnosis and clinical performance. Learn to integrate AI into your professional life…