Pages grouped by subject, for finding what the site has on a particular area of teaching, research, or practice.
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Technology
Artificial intelligence, language models, and their implications for knowledge work and education.
51 itemsTeaching
Teaching practice, learning theory, and the relationships between educators and learners.
8 itemsAssessment
Designing, evaluating, and rethinking assessment in the context of contemporary scholarship.
9 itemsEducation
Curriculum design, programme development, and the organisation of learning.
28 itemsScholarship
Academic writing, publication, research practice, and the nature of scholarly contribution.
21 itemsInformation management
Capturing, organising, and connecting ideas — note-taking, information systems, and personal knowledge.
7 itemsProfessional development
Building skills, habits, and systems for sustainable academic and professional practice.
13 itemsTechnology
- AI infrastructure for academics: how earlier work makes later requests simple
- A personal design system for scholarly output
- What the Quartz graph view reveals about this site
- Making sense of AI in clinical practice: ATOCP at BOA Congress
- AI-powered practice growth
- When agents start making decisions that influence outcomes
- Introducing Path, a CPD portfolio app
- Building a CPD app with Claude Code
- A theoretical framework for integrating AI into HPE: a one-page guide
- A few thoughts on student use of AI
- We're comparing AI chatbot health advice to the wrong thing
- Transform documents with AI
- Why AI writing sounds convincing, and why that's noise
- Why AI makes spelling mistakes
- How I review a week of reading notes with AI
- AI and problem-based learning
- Building AI personas for professional practice
- Claude deleted my file. It was my fault. But Claude took the blame.
- Preparing lecture slides with AI agents
- Introduction to AI with Copilot
- AI dependency in practice: When the tools become infrastructure
- AI agent governance in higher education: Building the institutional harness
- Working effectively with AI agents
- AI agents for academic workflow
- Seven principle for collaborating with AI
- Building an AI-ready knowledge base
- Switching to Claude Sonnet 4.6
- The hidden inefficiency in how we work with AI
- Querying the Zotero database with AI
- Context engineering for educators: infrastructure, not just policy
- The quality of the challenge: AI as a thinking partner
- AI tutor accuracy in health professions education: The accuracy-engagement paradox
- Organising your notes for AI: why retrieval isn't enough
- Building an AI workflow for academics with structured documentation
- Beyond document management: Graph infrastructure for professional curricula
- Vertex
- Documentation becomes infrastructure when AI agents are the readers
- Similarities between AI and human thinking: What if we're the language models?
- Hidden prompts in assignments: the security theatre of AI detection
- AI literacy development framework
- Avoiding innovation theatre: A framework for supporting institutional AI integration
- Beyond document management: Graph infrastructure for professional education curricula
- AI and the business of practice
- Taste and judgement in human-AI systems
- The learning alignment problem: AI and the loss of control in higher education
- Context sovereignty for AI-supported learning: A human-centred approach
- A theoretical framework for integrating AI into health professions education
- Technological nature of language and the implications for health professions education
- Classroom policy on the use of generative AI
- An unstoppable force meets an immovable object
- With great power comes great ambiguity
Teaching
- A question that replaces "did you write this?"
- The verification trap
- Preparing lecture slides with AI agents
- AI tutor accuracy in health professions education: The accuracy-engagement paradox
- The learning alignment problem: AI and the loss of control in higher education
- Context sovereignty for AI-supported learning: A human-centred approach
- From teaching to learning: Rethinking education for a world of information abundance
- A theoretical framework for integrating AI into health professions education
Assessment
- The verification trap
- AI and the learning alignment problem
- What is the work?
- The PhD is a process of becoming: Reimagining AI and PhD assessment
- Problem-based learning and the structural conditions for productive AI integration
- AI assessment scales are taxonomies of containment
- Designing AI out of assessment should be an academic offence
- Hidden prompts in assignments: the security theatre of AI detection
- A bitter lesson for higher education
Education
- Better than, or better with?
- New therapeutic alliances
- What happens when AI joins the leadership team?
- Still Yours: a doctoral researcher's guide to AI
- AI and the learning alignment problem
- A theoretical framework for integrating AI into HPE: a one-page guide
- What software engineers can teach us about AI in doctoral research
- The research harness: a one-page guide for doctoral researchers
- A few thoughts on student use of AI
- The research harness: a framework for bounded AI use in doctoral work
- The research harness
- Making sense of AI in clinical practice: MACP webinar
- Path
- Beyond the artifact: AI and the future of research
- What is the work?
- The PhD is a process of becoming: Reimagining AI and PhD assessment
- AI Masterclass for Healthcare Professionals
- Problem-based learning and the structural conditions for productive AI integration
- AI assessment scales are taxonomies of containment
- Designing AI out of assessment should be an academic offence
- Why AI writing sounds convincing, and why that's noise
- AI and problem-based learning
- Beyond document management: Graph infrastructure for professional curricula
- Context sovereignty: building human-AI coalitions in physiotherapy
- Beyond document management: Graph infrastructure for professional education curricula
- AI and the business of practice
- An unstoppable force meets an immovable object
- With great power comes great ambiguity
Scholarship
- AI infrastructure for academics: how earlier work makes later requests simple
- A personal design system for scholarly output
- When agents start making decisions that influence outcomes
- A question that replaces "did you write this?"
- Still Yours: a doctoral researcher's guide to AI
- What software engineers can teach us about AI in doctoral research
- The research harness, and bounding AI in doctoral work
- The research harness: a one-page guide for doctoral researchers
- The research harness: a framework for bounded AI use in doctoral work
- The research harness
- Beyond the artifact: AI and the future of research
- An open scholarship workflow: What academic publishing can learn from open source
- A new home for my writing
- The writing was never the point: AI and academic writing identity
- Building arguments with AI
- Building AI personas for professional practice
- AI agents for academic workflow
- The quality of the challenge: AI as a thinking partner
- Taste and judgement in human-AI systems
- Technological nature of language and the implications for health professions education
- Publishing with purpose: Using AI to enhance scientific discourse
Information management
Professional development
- Making sense of AI in clinical practice: ATOCP at BOA Congress
- AI-powered practice growth
- Better than, or better with?
- New therapeutic alliances
- What happens when AI joins the leadership team?
- What we add when AI does it better
- Introducing Path, a CPD portfolio app
- Building a CPD app with Claude Code
- Making sense of AI in clinical practice: MACP webinar
- Path
- AI Masterclass for Healthcare Professionals
- Introduction to AI with Copilot
- Context sovereignty: building human-AI coalitions in physiotherapy