Subject naïve students using AI LLM-GPTs can outperform students with subject knowledge, even while using internet search engines or e-books for problem-solving (Preprint)
Cross-sectional study shows AI LLM-GPTs improve problem-solving in naïve students, indicating their educational potential compared to traditional methods.
Key Points
Naïve students using AI LLM-GPTs outperformed learned peers using internet search engines or e-books.
Statistical analysis revealed a significant difference in scores (p = 0.0107) favoring AI-assisted learning.
AI LLMs demonstrated the highest effect size (partial η² = 0.328) in enhancing problem-solving capabilities.
E-books were notably less effective, especially for naïve users, highlighting time constraints.
AI LLMs showed potential in transforming learning strategies for medical education.