Development of a Dedicated LMS with Integrated Coding Platforms for IT Students of Pangasinan State University
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Keywords

Learning Management System
adaptive learning
programming education
coding platform
rule-based decision tree

How to Cite

[1]
F. F. Patacsil, “Development of a Dedicated LMS with Integrated Coding Platforms for IT Students of Pangasinan State University”, AJMS, vol. 9, no. 1, pp. 40–47, Mar. 2026.

Abstract

This study presents the design, development, and evaluation of a Learning Management System (LMS) platform tailored for the Information Technology students of Pangasinan State University. A descriptive-development research design was employed, combining needs assessment, system development using the Rapid Application Development (RAD) model, pilot implementation, and system evaluation. In order to prioritize the features of the system, the proponents surveyed 60 IT students to assess performance score, diagnostic testing, automatic level assignment, and the ability to retake assessments, as essential LMS components. An adaptive learning mechanism was implemented using a rule-based decision tree that personalizes content delivery based on performance indicators such as code accuracy, time efficiency, and consistency. A code-execution platform with AI assistance was integrated into the LMS to support learners' programming practices. Evaluation results showed high to very high effectiveness across usability, coding integration, material organization, learning enhancement, and overall satisfaction. The results also indicate that the LMS with an integrated coding platform and adaptive learning improves the students’ programming experience, supports adaptive instruction, and promotes self-directed learning among the IT students.

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Frederick F. Patacsil, Christine Lourrine S. Tablatin, Michael E. Acosta, Rhenel R. Bernisca, Nahum M. Quiros, Joshua C. Reyes, Paul Andrew V. Roa, Arni-Rie F. Tamayo