Earlier today I presented a workshop on the practical application of AI in physiotherapy education, to the Orthopaedic Division of the Canadian Physiotherapy Association.
Abstract
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 generation, quality assurance, and ethical considerations in AI-supported education.
Particular emphasis is placed on creating inclusive case studies that reflect diverse patient populations and clinical scenarios, developing formative assessment questions that promote clinical reasoning, and using AI interactively for real-time feedback and learning support. Practical examples include using structured prompting techniques to generate complex patient cases, implementing AI-assisted feedback mechanisms for student learning, and validating AI-generated content for clinical accuracy.
The workshop combines theoretical frameworks with hands-on activities, allowing participants to experiment with AI tools while developing critical evaluation skills. Specific attention is given to maintaining educational standards and ethical considerations when incorporating AI into physiotherapy education. Participants will leave with practical strategies for leveraging AI in their educational practice, including frameworks for content development, quality assurance protocols, and guidelines for ethical implementation. The session concludes with collaborative discussion of best practices and future directions for AI integration in physiotherapy education.