About the event
Application exercises are the most critical components of a TBL that should be designed as complex, real-world problems to elicit deep learning and foster student engagement. The process of crafting these exercises is fraught with veritable challenges for educators – time constraints, alignment with learning objectives, learner engagement, scaffolding, and authentic simulation of real-world problem-solving.
The purpose of this workshop is to empower educators to write effective prompts (prompt engineering) using AI to create engaging application exercises that meet the 4S principle of TBL application exercises and to promote critical thinking/clinical reasoning. Participants will first be introduced to the key elements of creating an effective prompt using the TRACI framework. The AI tool, Anthropic’s Claude 3.5 Sonnet, will then be used to demonstrate how to design application exercises for team-based learning sessions (TBL) to promote higher-order thinking and learner engagement, aligned to Bloom’s taxonomy. This will go beyond the multiple-choice question (MCQ) format to include matrix creation, sequencing, structured problem solving etc. among others.
Learning objectives
By the end of this workshop, participants will be able to:
- Recognize the key elements of an effective prompt based on the TRACI framework.
- Create an effective prompt on an AI LLM model for generation of an application exercise that promotes higher-order thinking skills.
- Evaluate what elements make certain prompts more effective in generating higher-order thinking exercises.
About the facilitators
Dr. Deborah Dalmeida
Dr. Deborah Dalmeida MBBS MD MEHP is an Associate Professor of Pathology in the Department of Medical Foundations at Ross University School of Medicine, Barbados. She is passionate about the effective use of educational technology to foster cognitive integration by articulating links between disciplines. Her goal for her learners is to foster master adaptive learners who are capable of lifelong learning and deep conceptual understanding.
Dr. Elizabeth Prabhakar
Dr. Elizabeth Prabhakar is a Medical Educator (FHEA) and currently the Academic Head of MBBS Phase 1 at Brunel University London Medical School. She integrates Team-Based Learning and Simulation-Based Learning to bridge foundational and clinical sciences. As Chair of the Research and Scholarship Committee at TBLC, she leads initiatives around AI in TBL and student-centered learning innovations. She has co-edited and co-authored a textbook “Essentials of Physiology for Dental Students” and presents regularly at international medical education conferences.
Dr. Nahla Gomaa
Dr. Nahla Gomaa is a Clinical Professor of Otolaryngology at the University of Alberta. Her work spans different domains of medical education, including corrective feedback and value-based medical practice. She has been on multiple TBLC committees and presents internationally on innovations like AI in TBL. She is also is a fellow of Academy of Medical Educators [FAcadMEd], and a Senior Fellow in Advanced Higher Education (SFHEA), U.K., certified in Higher Education Teaching from Harvard University, and in Patient’s safety Quality Management [PSQM] in health care from the University of Calgary, Canada.
