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Bolstering a Learning Management System with Personalized Education Experience Aligned to Individual Career Aspirations Using the RIASEC Model and Data Mining

TEM Journal | 2026

Paper Details

Authors: Siang S.E.R.; Reyes A.R.L.

DOI: 10.18421/TEM151-65

Journal: TEM Journal

Year: 2026

Publisher: UIKTEN - Association for Information Communication Technology Education and Science

Document Type: Article

Open Access: All Open Access; Gold Open Access

Cited by: 0

Abstract

This research explores the integration of Holland’s RIASEC model and data mining techniques within Learning Management Systems (LMS) to enhance personalized career matching for students. The RIASEC model, which categorizes career interests into six personality types - realistic, investigative, artistic, social, enterprising, and conventional is the foundation for aligning educational experiences with individual career aspirations. The integration of RIASEC, LMS, and Data Mining has shown the creation of personalized learning pathways. The findings suggest that RIASEC-based career matching within LMS holds significant promise for advancing customized education, better preparing students for their future careers, and enhancing overall educational outcomes. © 2026 Somerset Elcid R. Siang & Ariel Roy L. Reyes

Keywords

career matching; data mining; Learning management system; RIASEC