LEARNIT : A Supplemental Learning Resource Management System for Sustainable Learning /

Batinga, Mae Angelle L.

LEARNIT : A Supplemental Learning Resource Management System for Sustainable Learning / Mae Angelle L. Batinga, Jireh Claire S. Carlos, John Maynard V. Lopez, Divine Emily Ann Pellesco

Thesis (Undergraduate)

College of Science --

Includes bibliographical references.

"This research presents a Learning Management System it developed to sustain the learning
by combining the modern technology into the educational procedure. The Learning
Management system aims to improve the learning engagement and the educational
outcomes of every student by providing a user-friendly web-based platform that will track
the learning materials that will be assigned by the professor. The system has a dashboard
for both students and professors to access the class materials, quizzes and assignment and
to progress tracking. It includes real-time monitoring of student reading progress, also
communication tools and personalized learning paths. The system ensured that the students
could review and further understand each topic before the professor’s instruction. The
researchers used Waterfall Model to create and plan the system. The Learning Management
System is more efficient and effective learning. It was developed using XAMPP, MySQL,
PHP, HTML, CSS, JavaScript and Bootstrap it designed to be more friendly-user and
maintainable. The system was evaluated to test its effectiveness through its functional
suitability and maintainability and testing to know what to improve. The system has the
potential to enhance communication between the professor and the students and it
contributes to a more suitable educational framework. This research emphasized the
significance of advance technology to support continues learning and improve educational
performance. The Learning Management System represents the importance of advance
resource management, offering an expandable solution to align the needs of the students
and educators." -- Author's Abstract


Learning

BTH T 58.5 / B38 2024



© 2025 Technological University of the Philippines.
All Rights Reserved.

Powered by Koha