Personalised Learning in Medical Education – A futuristic model for Individual learning styles

Authors

Sujatha Mahadevarao Premnath, Pondicherry Institute of Medical Sciences, Pondicherry UniversityFollow
Ashwin Chand Ravichandran, Pondicherry Institute of Medical Sciences, Pondicherry UniversityFollow
Sivaa Rajendran, Vinayaka Mission Medical college, KaraikalFollow

Author ORCID Identifier

https://orcid.org/0000-0002-8402-0935

Corresponding Author

Sujatha Mahadevarao Premnath

drsuj85@gmail.com

Abstract

Medical education is transitioning from the traditional teacher-centred to a student-centred model, and an approach that caters to the diverse needs of the learner is necessary to meet these needs. Personalised learning is one such strategy that offers learning content based on individual profiles, learning styles, pace, and competency gaps. Here, the individual student receives content based on their preference, where the content can be created by educators leveraging technology, an adaptive learning platform, and artificial intelligence. It provides an inclusive and efficient learning platform that helps in creating more efficient medical graduates. This article explores the concept of personalized learning in medical education, its theoretical frameworks, implementation strategies, advantages, and challenges. Despite challenges, the long-term benefits of personalized learning make it a promising approach for medical education. As medical education undergoes a digital transformation, personalized learning is going to play a key role in shaping the future of medical learning.

Publication Date

9-2025

Publisher

JSS Academy of Higher Education & Research

Conflict of Interest

Nil

Keywords

Medical education, Personalized education, Competency based learning

Word Count

1497

Comments

Nil

Recommended Citation

Premnath SM, Ravichandran A, Rajendran S. Personalised Learning in Medical Education – A futuristic model for Individual learning styles. Digital Journal of Clinical Medicine. 2025; 7(4): -. doi: https://doi.org/10.55691/2582-3868.1274

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Cover Page Footnote

This article explores emerging technologies and theoretical frameworks in personalised medical education, highlighting AI, AR/VR, and adaptive assessment methods to enhance competency-based learning and clinical skill acquisition.