International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 1 January-March 2026 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.

Design and Development of a Learning Management System with Cognitive-Level Performance Analytics for Jimalalud National High School

Author(s) Ms. Christhell Jade Pis-an Endam
Country Philippines
Abstract This study aimed to design, develop, and evaluate a customized Learning Management System (LMS) with cognitive-level performance analytics based on Bloom’s Taxonomy for senior high school students at Jimalalud National High School. A developmental-evaluative research design was employed, combining system creation processes with descriptive and evaluative methods. Fourteen teachers and 200 students participated in surveys, interviews, and pilot testing to provide insights on needs, usability, and effectiveness.

Teachers accessed the Learning Resource Portal maintained by the Schools Division of Negros Oriental to obtain instructional materials, which supported lesson preparation. Both teachers and students identified the need for a more user-friendly, mobile-responsive system that integrates interactive assessments, item-level performance reports, assessment progression tracking, flexible submission options, and resources accessible to multiple stakeholders, including students, teachers, and parents.

In response, the LMS was developed to incorporate these features. Pilot-testing showed high satisfaction in terms of usability, instructional support, engagement, and accessibility. Cognitive-level performance analytics allowed teachers to identify learning gaps and adjust instruction, while students could monitor their own progress and understand their strengths and weaknesses.

The study recommends adopting the LMS, providing structured training for teachers and students, and establishing continuously feedback mechanisms to enhance system functionality and pedagogical effectiveness.
Keywords Learning Management System (LMS), Cognitive-Level Performance Analytics, Bloom’s Taxonomy, Student Performance Tracking, Interactive Assessment, Item-Level Analysis, Learning Analytics, Educational Technology, Senior High School
Field Computer Applications
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-16

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