Monday, July 7, 2025

12:45 PM - 4:15 PM

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Details

Facilitator Dr Weeming Lau, Monash University, Malaysia Dr Rosemarie Herber, Monash University Bethany Howard, Monash University Aim • Design and implement virtual scenarios using generative AI (gAI) • Apply ATLAS technology to foster student engagement in self-directed learning • Conduct and analyze AI-powered role-plays • Critically evaluate the opportunities and challenges of AI in education Focus This workshop offers hands-on experience in leveraging gAI and ATLAS technology to create immersive, safe, and motivating self-directed learning environments across disciplines. Overview Target Audience: Students, educators, and clinicians from diverse disciplines Context: Online and self-directed learning The advent of AI in education has shifted the educational paradigm from the traditional classroom-based learning to a contemporary one that is self-paced and self-directed by the learner (Ayeni et al.,2024) This interactive workshop guides participants through the process of creating virtual scenarios using gAI and implementing them on the ATLAS platform. Participants will engage with ATLAS to experience lifelike interactions where sophisticated AI analyzes language, expressions, and body language to generate dynamic, responsive encounters with simulated patients. The platform provides detailed, constructive feedback based on customized criteria, offering insights into performance, identifying strengths, and highlighting areas for improvement. This immersive experience is followed by focused peer discussion and clinical reasoning, demonstrating the potential of AI-enhanced learning environments. Reference Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261-271. Workshop Plan • Introduction and Icebreaker (15minutes): Share experiences with virtual patients in teaching and learning • gAI Overview (20minutes): Explore various AI tools for creating relevant virtual patient scenarios • Scenario Creation (30minutes): Collaborative group work to design an appropriate scenario • Group Presentations (30minutes): Present their scenario, followed by feedback and discussion • ATLAS Implementation (60minutes): Apply scenarios to ATLAS, conduct role-plays, and analyze AI-generated feedback reports • Challenges and Opportunities (20minutes): Discuss the potential, limitations, and ethical considerations of using AI and virtual patients in education • Conclusion (5minutes): Summarize key takeaways and future directions Participants work in small groups throughout the workshop to ensure interactive dialogue and hands-on experience.