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

  • Authors

    • Subbulakshmi R Assistant Professor, Department of Computer Science and Engineering, Karpagam Institute of Technology, ‎Coimbatore, Tamil Nadu, India
    • Karpagam V Assistant Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, ‎Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India
    • T. Veeramani Associate Professor, Department of Artificial intelligence and Data Science, Panimalar Engineering College, ‎Chennai, Tamil Nadu, India
    • Yogadharani M Assistant Professor, Department of Computer Science and Engineering, SNS College of Technology,‎ Coimbatore, Tamil Nadu, India
    • Jayasri M UG Student, Department of Computer Science and Engineering, Karpagam Institute of Technology,‎ Coimbatore, Tamil Nadu, India
    • Sangeetha N UG Student, Department of Computer Science and Engineering, Karpagam Institute of Technology,‎ Coimbatore, Tamil Nadu, India
    • Soundharya P UG Student, Department of Computer Science and Engineering, Karpagam Institute of Technology,‎ Coimbatore, Tamil Nadu, India
    https://doi.org/10.14419/jvvyjn56

    Received date: March 27, 2025

    Accepted date: May 8, 2025

    Published date: May 24, 2025

  • Learning Management System; Machine Learning; Personalized Education; Adaptive Assessments; Personalized Recommendations

  • 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.

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  • How to Cite

    R, S., V, K. ., Veeramani, T. . ., M, Y. ., M, J., N, S., & P, S. (2025). Design and development of a comprehensive learning ‎management system (LMS) with integrated machine learning ‎for personalized. International Journal of Basic and Applied Sciences, 14(1), 405-413. https://doi.org/10.14419/jvvyjn56