ENHANCING MEDICAL EDUCATION USING CHATGPT- GENERATED CONCEPT MAPS

Abstract

Medical education is a cognitively demanding endeavor due to its expansive curriculum covering fundamental biological and chemical principles as well as practical clinical applications. Often, students struggle to assimilate and retain the immense volumes of information presented to them efficiently. While conventional lectures provide a systematic framework, they tend to convey facts in isolation, failing to facilitate intuitive connections between topics. This highlights the pressing need for groundbreaking pedagogical tactics that instill deep comprehension and durable retention (Sadeghi et al., 2014).

Concept maps are widely accepted as a powerful educational tool, offering a structured framework to methodically arrange and interweave concepts. By visually portraying relationships, these maps foster integrative thinking and analytical reasoning. However, manually generating well-formed concept maps can demand significant time commitments, especially for educators managing bloated enrollments. Alternatives are sought that retain concept maps' benefits while automating production to ease the load on instructors.(Baliga et al., 2021; Al Rashid et al., 2024; Al Rashid & Rahman, 2023).