Vol.15, No.1, February 2026.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

 

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

 

Somerset Elcid R. Siang, Ariel Roy L. Reyes

 

© 2026 Somerset Elcid R. Siang, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 15, Issue 1, Pages 688-706, ISSN 2217-8309, DOI: 10.18421/TEM151-65, February 2026.

 

Received: 09 May 2025.
Revised: 06 August 2025.
Accepted: 10 September 2025.
Published: 27 February 2026.

 

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.

 

Keywords – Learning management system, RIASEC, career matching, data mining.

 

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