Design and development of a comprehensive learning management system (LMS) with integrated machine learning for personalized

The paper unveils an advanced Learning Management System (LMS) meticulously engineered to meet the evolving landscape of digital ‎education. As educational institutions increasingly adopt digital modalities, there is a pressing need for systems that can deliver personalized, ‎efficient, and adaptive learning experiences. Our LMS responds directly to these challenges by incorporating essential functions such as ‎user authentication, comprehensive course enrolment, and real-time attendance tracking, facilitating a seamless interaction between learners ‎and educators. The application of sophisticated machine learning algorithms allows the LMS to construct adaptive learning pathways and ‎personalized recommendations tailored to individual student profiles, dynamically adjusting to cater to diverse educational needs. Such ‎pathways and recommendations ensure that learners receive targeted content and evaluations that reflect their distinctive progress, bolstering ‎student attainment through personalized engagement and immediate, action-oriented feedback‎.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-05-24
DOI
https://doi.org/10.14419/jvvyjn56
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and development of a comprehensive learning management system (LMS) with integrated machine learning for personalized

V Karpagam, R Subbulakshmi, M. Jayasri, N. Sangeetha et al.
International Journal of Basic and Applied Sciences
Online Learning and Analytics
article

Design and development of a comprehensive learning management system (LMS) with integrated machine learning for personalized

V Karpagam, R Subbulakshmi, M. Jayasri, N. Sangeetha, T. Veeramani, M Yogadharani, P Soundharya
article en

Abstract

The paper unveils an advanced Learning Management System (LMS) meticulously engineered to meet the evolving landscape of digital ‎education. As educational institutions increasingly adopt digital modalities, there is a pressing need for systems that can deliver personalized, ‎efficient, and adaptive learning experiences. Our LMS responds directly to these challenges by incorporating essential functions such as ‎user authentication, comprehensive course enrolment, and real-time attendance tracking, facilitating a seamless interaction between learners ‎and educators. The application of sophisticated machine learning algorithms allows the LMS to construct adaptive learning pathways and ‎personalized recommendations tailored to individual student profiles, dynamically adjusting to cater to diverse educational needs. Such ‎pathways and recommendations ensure that learners receive targeted content and evaluations that reflect their distinctive progress, bolstering ‎student attainment through personalized engagement and immediate, action-oriented feedback‎.

International Journal of Basic and Applied SciencesVol. 14(1)
KPR Institute of Engineering and Technology (IN), Artificial Intelligence in Medicine (Canada) (CA), Karpagam Academy of Higher Education (IN), Saveetha University (IN)
Openalex Percentile: Top 89%
Online Learning and Analytics
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Design and development of a comprehensive learning management system (LMS) with integrated machine learning for personalized — V Karpagam, R Subbulakshmi, et al. · International Journal of Basic and Applied Sciences (2025) | TGRS Research Map | TGRS