Optimizing Online Learning: Implementation of an Efficient LMS
Abstract: In the era of digital transformation, Learning Management Systems (LMS) play a crucial role in streamlining education and training processes. This study presents the development of an AI-driven LMS designed to enhance online learning experiences through personalized course recommendations, automated assessments, and real-time performance analytics. The proposed system integrates modern technologies such as machine learning, cloud computing, and an intuitive user interface to facilitate seamless learning. By addressing challenges like learner engagement, content accessibility, and progress tracking, this LMS aims to improve the efficiency of both educators and learners. The research highlights the system’s impact on academic performance and user satisfaction, demonstrating its potential to revolutionize digital education.
Authors
- Akhilesh Jaiswal (ORCID: https://orcid.org/0000-0001-9911-2624)
- Anuj Sharma (ORCID: https://orcid.org/0000-0003-2219-2528)
- Ayush Yadav (ORCID: https://orcid.org/0009-0006-6994-7552)
- Avinash Thakur (ORCID: https://orcid.org/0000-0002-9209-6817)
- Aryan Gupta
Institutions
- Indian Institute of Technology Indore (IN)
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-04-14
- DOI
- https://doi.org/10.22214/ijraset.2025.68669
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00