Design and development of a comprehensive learning management system (LMS) with integrated machine learning for personalized
About this article
Keywords:
Learning Management System; Machine Learning; Personalized Education; Adaptive Assessments; Personalized RecommendationsAbstract
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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