AI-driven tools personalize learning, enhance training efficiency, and support educators with adaptive, data-driven experiences, improving medical and healthcare education.
The AI for Learning Design (AI LD) Workshop is a practical, interactive session that aims to equip medical educators with the necessary knowledge and skills to integrate artificial intelligence (AI) into instructional design. Participants will explore how AI can be applied to content creation, assessment strategies, and adaptive learning in medical and healthcare education.
Through hands-on engagement, participants will learn to leverage AI tools to develop effective, data-driven, and personalised learning experiences for students, improving both teaching efficiency and educational outcomes.
Critically Evaluate AI-Enhanced Pedagogies
Synthesise Instructional Strategies with AI Tools
Design and Develop Interactive, Data-Informed Modules
Assess Ethical, Legal, and Accessibility Considerations
Reflect on and Iterate Teaching Practice
Welcome to the "Artificial Intelligence for Learning Design: Integrating AI to Enhance Medical & Healthcare Education" workshop!
As AI continues to revolutionise healthcare, this workshop offers a unique opportunity to explore how it can transform medical and healthcare education. From clinical training to healthcare management and medical research, AI has vast potential to personalise learning, improve training outcomes, and shape a more effective education system. Whether you're new to AI or have already started incorporating it into your teaching, this workshop is designed for educators at all levels. Join us as we collaborate to unlock AI’s full potential and enhance learning experiences, better-preparing students for the rapidly evolving healthcare landscape. Register today to be part of this transformative journey!
Dr Vaikunthan Rajaratnam FRCS, MIDT, MBA, PhD (Education) is a practising hand surgeon, medical educator, and AI applications specialist with over 40 years of experience in clinical practice, instructional design, and academic leadership. He is an Adjunct Professor and UNESCO Chair partner at APUIT and an Honorary Professor at RUMC Penang and UKM Malaysia, focusing on AI in education. As a global trainer, he has conducted numerous workshops on AI integration in medical education, learning design, and research. His educational expertise spans competency-based learning, digital transformation, and ethical AI applications, empowering educators to enhance teaching strategies with cutting-edge technology.
Time
Session
Details
8.00 – 8.30 AM
Registration
Arrival and registration of participants
8.30 – 9.00 AM
Welcoming Speech
Welcoming speech by the Dean of Faculty of Medicine, University of Cyberjaya
9.00 – 9.30 AM
Foundations of AI in Learning Design
Overview of instructional design models and neuroscience principles in healthcare education. Introduction to Universal Design for Learning (UDL). Setting learning outcomes for AI-assisted instruction.
9.30 – 10.30 AM
Introduction to Generative AI Tools
Live demonstration of AI platforms for content creation. Best practices for prompt engineering and response validation.
10.30 – 11.00 AM
Tea Break & Networking
Refreshments and informal discussions with peers.
11.00 AM – 12.30 PM
AI-Powered Learning Blueprints & Content Development
Use ChatGPT and similar tools to generate learning outcomes, pedagogy, content, and assessment with rubrics and interactive and multimedia teaching materials.
Group activity: Designing AI-powered lesson components.
12.30 – 1.30 PM
Lunch Break
Networking Session
1.30 – 2.00 PM
Creating & Integrating Chatbots
Introduction to chatbot frameworks.
Activity: Build a simple chatbot for healthcare education (e.g., intelligent tutoring system, student support).
2.00 – 2.45 PM
Hands-on: Exploring NotebookLM
Guided session on NotebookLM features.
Exercise: Set up an AI-driven knowledge base as a personalised teaching resource.
2.45 – 3.00 PM
Q&A and Assembling learning objects for asynchronous learning
Labelling learning assets developed and planning sequencing for online module.
3.00 – 3.30 PM
Tea Break & Informal Discussions
Light refreshments and networking.
3.30 – 4.30 PM
Hands-on: Online Module Development with Rise 360
Educators will structure digital course modules using Rise 360. Focus on accessibility features, robust assessment strategies, and interactive elements to enhance learner engagement.
4.30 – 5.00 PM
Iterative Evaluation and Peer Review
Participants will share their work, receive peer feedback, and discuss how to apply workshop learnings in their home institutions. Topics include ongoing evaluation methods, rubric design, and qualitative feedback strategies.
5.00 PM
Wrap-Up & Next Steps
Final reflections on how AI-supported instructional design can enhance healthcare education in diverse settings. Resources for further learning and networking opportunities will be shared.
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