ArticleFrontiers in medicine2025
Evaluation of the impact of AI-driven personalized learning platform on medical students' learning performance.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Artificial intelligence in urological education: a systematic review.BMC medical education · 2026Pooled it
- The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR medical education · 2026Pooled it
- The impact of integrating generative artificial intelligence into medical education on short-term learning outcomes: a systematic review and meta-analysis of randomized controlled trials.BMC medical education · 2026Pooled it
- The effectiveness of GAI-assisted teaching methods in medical education: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- AI-assisted case-based learning and flipped classroom to improve clinical decision-making: a randomized controlled trial in reproductive medicine.Medical education online · 2026Trial
- Application and effectiveness analysis of AI Intelligent tutoring system combined with knowledge graph in basic medical pathology teaching.BMC medical education · 2026Trial
- Beyond social media: the era of generative AI and intelligent digital platforms in nephrology education.Renal failure · 2026Article
- Impact of ChatGPT-assisted personalized learning on teaching acute abdomen to undergraduate medical students: A randomized crossover study.Pakistan journal of medical sciences · 2026Article
- AI-Assisted Formative Assessment in Clinical Education: From Algorithms to Agency.JMIR medical education · 2026Article
- Article
- Why Do Students Feel Satisfied Yet Uneasy with Artificial Intelligence: A Process-Oriented Conceptual Review of How Cognitive and Moral Dissonance Account for the Satisfaction-Dissonance Paradox in Higher Education.Behavioral sciences (Basel, Switzerland) · 2026Review
- Knowledge, attitudes, and practices of medical students at a Chinese university toward virtual simulation experimental training: a cross-sectional survey of self-perceived experience.BMC medical education · 2026Article
- Cognitive reshaping and resurgence of humanness: restructuring the medical education continuum in the era of generative AI.Frontiers in medicine · 2026Review
- Integrating large language models into medical undergraduate laboratory course to enhance bioethical competence: a quasi-experimental study.Frontiers in medicine · 2025Article
Corrections and comments
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1 author.
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Abstract
Objective: This study aims to evaluate the comprehensive impact of an artificial intelligence (AI)-driven personalized learning platform based on the Coze platform on medical students' learning outcomes, learning satisfaction, and self-directed learning abilities. It seeks to explore its practical application value in medical education and provide empirical evidence for the digital transformation of education. Methods: A prospective randomized controlled trial (RCT) design was adopted, enrolling 40 full-time medical undergraduates who were stratified by baseline academic performance and then randomly assigned via computer-generated block randomization (block size = 4) into an experimental group ( Results: Academic Performance Improvement: The post-test scores of the experimental group were significantly higher than those of the control group (84.47 ± 3.48 vs. 81.72 ± 4.37, Conclusion: AI-driven personalized learning platforms (AI-PLPs) significantly enhance medical students' learning outcomes, classroom engagement, and self-directed learning abilities through dynamic resource adaptation, affective computing, and behavioral data analysis. The study confirms artificial intelligence's potential in medical education to balance knowledge delivery and competency cultivation, though its long-term effects and ethical risks require further validation. Future directions include multicenter large-sample studies, longitudinal tracking, and interdisciplinary applications to advance the intelligent transformation of educational models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.