Adaptive Learning Systems in Medical Education: Personalization through AI-Driven Data Analytics

Authors: Rohit Reddy Chananagari Prabhakar

DOI: https://doi.org/10.5281/zenodo.14850966

Short DOI: https://doi.org/g84qgr

Country: USA

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Abstract: The integration of medical training with adaptive learning platforms is changing medical students', professionals', and instructors' experiences with training materials. Analysis through AI helps in providing individualized training experiences through analysis of students' behavior, weaknesses, and strengths, and customizes training materials for recall of information and development of clinical competency. Real-time testing, personalized courses for studying, and predictive analysis make effective and efficient learning through such platforms a reality. In this article, a review of AI-facilitated adaptive learning platforms' role, impact, methodologies, challenges, and future trends in medical training is presented, offering an outlook for reimagining traditional medical training through flexible and student-responsive methodologies.

Keywords: Adaptive Learning Systems, Artificial Intelligence (AI) in Medical Education ,Machine Learning in Education , Personalized Learning , Competency-Based Education , Data Analytics in Learning, Predictive Analytics in Medical Training , Automated Assessments , Virtual Reality (VR) in Medical Training , Gamification in Learning , Blockchain Credentialing in Medical Education , AI-Powered Chatbots for Learning , Faculty Adoption of AI in Education , Challenges in AI-Based Learning , Future Trends in AI Education , Robotics and AI in Medical Training

Paper Id: 232117

Published On: 2024-05-08

Published In: Volume 12, Issue 3, May-June 2024

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