Enhancing E-Learning System Through Learning Management System (LMS) Technologies: Reshape The Learner Experience
Cecilia P. Abaricia (1), Manuel Luis C. Delos Santos (2), ((1)(2), Asian Institute of Computer Studies, Quezon City, Philippines)

TL;DR
This study demonstrates how an LMS web portal, enhanced with data mining, significantly improves learner engagement, personalization, collaboration, and usability, supporting diverse educational needs including hybrid learning.
Contribution
The paper introduces a data mining-based LMS platform that effectively enhances learner experience and supports hybrid education, which is a novel integration of technology and methodology.
Findings
High learner satisfaction with device flexibility
Effective personalization of learning trackers
Enhanced collaboration with learning experts
Abstract
This paper aims to determine how the LMS Web portal application reshapes the learner experience through the developed E-Learning Management System using Data Mining Algorithm. The methodology that the researchers used is descriptive research involving the interpretation of the meaning or significance of what is described. Gather data from questionnaires, surveys, observations concerned with the study, and the chi-square formula for the statistical treatment of data. The findings of the study, the extent that LMS Web portal application reshapes the learner experience in terms of the following variables with the Average Weighted Mean (AWM): Flexible engagement of Learners in any device is highly satisfied; Personalize learning tracker is highly satisfied; Collaborating with the Learning Expert is highly satisfied; Provides user-friendly Teaching Tools is satisfied; Evident Learner…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
