Integrating Problem-Based Learning and Artificial Intelligence in Neurology Education

Abstract

<title>Abstract</title> Background The integration of Artificial Intelligence (AI) in medical education, particularly in neurology, has shown potential for enhancing student learning. Methods This study investigates the effectiveness of AI-assisted Problem-Based Learning (PBL) compared to traditional teaching method in neurology education. Two cohorts of students, one utilizing traditional teaching method and the other integrating AI tools with PBL class, were assessed based on their academic performance. Results The results indicate a significant improvement in problem-solving skills and overall academic performance in the AI-integrated PBL group. The traditional group achieved a score of 92.93 ± 1.731 in clinical practice score, whereas the AI-assisted PBL group obtained a score of 94.74 ± 1.792, showing a statistically significant difference (P &lt; 0.001). Similarly, in the examination results, the traditional group scored 80.74 ± 5.075, while the AI-assisted PBL group attained 82.92 ± 7.11, with the difference also reaching statistical significance (P = 0.038). On the other hand, AI-assisted teaching also enhanced students' interest, and proficiency in lumbar puncture. Conclusions These findings suggest that AI-enhanced PBL can offer an effective pedagogical approach for neurology education.

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