Featured work

Description

In this article, I present the ACADEMIC framework, consisting of 7 principles that aim to guide the integration of AI in health professions education. Drawing on social constructivism, critical pedagogy, complexity theory, and connectivism, the framework positions AI as a partner in learning that can address longstanding challenges in health professions education.

Key takeaways

• Existing education approaches do not adequately prepare graduates for contemporary healthcare practice
• Students need guidance to learn with AI rather than simply producing better outputs
• This article presents a theoretically-grounded framework to guide the use of AI to support learning

Description

This essay describes how the ubiquitous text-box interface perpetuates outdated learning metaphors that fragment knowledge and do little to support learning. In contrast, network-based interfaces using interactive knowledge graphs better reflect how expertise actually develops, with AI serving as both conversational partner and relationship-builder within spatial knowledge landscapes rather than isolated chat histories.

Key takeaways

• Text boxes trap knowledge in linear, disconnected conversations
• Chat histories recreate containers in conversational form
• Network interfaces make relationships visible and navigable
• Knowledge graphs mirror how professional expertise actually develops

Description

This international collaborative report presents a discussion framework to support professional engagement on the topic of AI in physiotherapy education, practice, and research. It provides healthcare professionals, educators, researchers, students, regulatory bodies, and other stakeholders with a comprehensive overview of the opportunities and challenges of AI, suggesting strategies for professional engagement across different contexts.

Key takeaways

• Explores generative AI integration in physiotherapy
• Covers clinical practice, education, and research domains
• Balances opportunities with significant implementation risks
• Proposes strategies for responsible AI adoption
• Provides tailored guidance for different stakeholder groups

Description

I was commissioned by Physiopedia to create a course on the topics of AI in clinical practice, education, and research. Aimed at clinicians, researchers, educators, and healthcare administrator, the course explores the wide range of possibilities presented by AI, providing participants with the knowledge to integrate AI into practice.

See also this Head Space course on Generative AI for Academics

Overview

• 1600+ course participants
• 4.5 average rating
• Topics covered include an introduction to AI, AI in education, research, clinical practice, and personal productivity
• Aimed at a wide range of healthcare professional

Description

In this presentation for the International Private Physiotherapy Association (IPPTA), I discuss the implications of AI for private healthcare practitioners. By linking the existing capabilities of language models to business development objectives, I show how private practice owners can use AI to support growth, while focusing on providing quality client care.

Overview

• Use AI as a virtual business consultant
• Analyse website and social media content and structure
• Create detailed client personas
• Identify market opportunities and data-driven expansion strategies
• Create bespoke implementation roadmaps

Description

In this In Beta podcast episode, Ben and I speak to Lambert Schuwirth about the impact of generative AI on HPE teaching, learning, and assessment. When we recorded, Lambert was the Strategic Professor in Medical Education in the College of Medicine and Public Health at Flinders University in Adelaide, Australia.

See also this episode on Generative AI Personas in Physiotherapy Education.

Topics covered

• Concerns around hallucination
• Building curricula into language models
• Research into the impact of LLMs on student learning behaviours
• Changes to institutional culture and digital literacy
• Impact on healthcare professions
• Private education institutions supported by AI

Description

In this Head Space newsletter, I provide guidance for academics wanting to use generative AI to support their work. I describe how to create and maintain a prompt library to streamline common academic administrative tasks. This is part of a monthly newsletter for

• Read more Head Space newsletters on AI for academics
• Explore the Head Space AI for Academics course

Key takeaways

• Prompt templates reduce cognitive overhead
• Start with common tasks first
• Use role-goal-instruct framework effectively
• Update library regularly over time

Description

In this short video, I present a simple guide to effective prompt writing for academics. I use a framework to describe a process for expanding the context window that language models need to provide useful responses to your prompts. And I walk through a worked example where I show what the process looks like.

Overview

• 2000+ views
• Explain the concept of a context window
• Naive vs structured prompts
• Role, Goal, Instruct framework
• Responsible use

Description

Emergent scholarship is a forward-looking, interdisciplinary approach to knowledge creation, production, and dissemination that embraces complexity, connection, collaboration, adaptation, and public engagement. It represents an evolution of scholarly practice for an interconnected world, recognising that knowledge emerges dynamically from networks of diverse participants, technologies, and ideas.

Highlights

• Reimagining scholarship for complex networked environments
• Addressing disconnection between education and healthcare realities
• Creating scholarship that’s public-facing and accessible
• Building sustainable alternatives to traditional academic practices
• Aligning knowledge creation with real-world impact