Integrating Artificial Intelligence (AI) into Problem-Based Learning (PBL) Module for Medical Professionalism and...

Area of Science:

• Medical Education
• Artificial Intelligence in Healthcare
• Ethics Education

Background:

• Medical Professionalism and Ethics (MPE) education requires innovative pedagogical approaches.
• Traditional methods may not fully engage students in complex ethical reasoning.
• Integrating technology can potentially enhance learning experiences.

Purpose of the Study:

• To co-create and evaluate an AI-integrated problem-based learning (PBL) module for MPE education.
• To assess the impact of ChatGPT as a virtual co-facilitator on student ethical reasoning and engagement.
• To explore the pedagogical value of AI in facilitating complex ethical discussions.

Main Methods:

• A three-phase curriculum co-creation process developed an AI-integrated PBL module.
• ChatGPT was utilized as a virtual co-facilitator with scaffolded prompts based on Bloom's taxonomy and TPACK framework.
• The module was piloted with fourth-year medical students during scheduled teaching sessions.

Main Results:

• Student feedback indicated deeper ethical reasoning and improved engagement.
• Sustained discussions were observed during the AI-facilitated sessions.
• Instructors noted challenges in moderating AI-generated input.

Conclusions:

• AI-integrated PBL modules hold significant pedagogical value for MPE education.
• ChatGPT can effectively facilitate complex ethical discussions and enhance student learning.
• Further refinement is needed to address challenges in AI moderation within educational settings.