Enhancing E-Learning System Through Learning Management System (LMS) Technologies: Reshape The Learner Experience
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 Progress and Involvement and is satisfied. In the final analysis, this E-Learning System can fit any educational needs as follows: chat, virtual classes, supportive resources for the students, individual and group monitoring, and assessment using LMS as maximum efficiency. Moreover, this platform can be used to deliver hybrid learning.
Cite
@article{arxiv.2309.12354,
title = {Enhancing E-Learning System Through Learning Management System (LMS) Technologies: Reshape The Learner Experience},
author = {Cecilia P. Abaricia and Manuel Luis C. Delos Santos},
journal= {arXiv preprint arXiv:2309.12354},
year = {2023}
}
Comments
14 pages, 6 figures, 2 Tables, Special Issue on International Research Conference on Computer Engineering and Technology Education 2023 (IRCCETE 2023)