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Authors: Pham Hien 1 ; 2 ; Le Nguyen Hoai Nam 1 ; 2 and Cuong Pham-Nguyen 1 ; 2

Affiliations: 1 Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam ; 2 Vietnam National University, Ho Chi Minh City, Vietnam

Keyword(s): Course Recommendation Method, Data Collection Process, Knowledge Base.

Abstract: This paper presents an approach for a knowledge-based recommender system that provides relevant courses based on learners’ profiles, requirements, and career needs. The framework integrates an automatic data collection process, ensuring that the knowledge base reflects the latest job market and course information. The recommendation method relies on a set of rules that combine various matching techniques, incorporating user requirements, skill and knowledge gaps, contextual information, and the course weight indicating its relevance to the career or market. An experiment was conducted to measure the satisfaction of the approach through a survey of users who used the system. The results reveal that the approach is deemed acceptable. This framework contributes to ongoing discussions surrounding the application of technology in building recommender systems for education.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Hien, P. ; Nguyen Hoai Nam, L. and Pham-Nguyen, C. (2024). Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD; ISBN 978-989-758-716-0; ISSN 2184-3228, SciTePress, pages 15-26. DOI: 10.5220/0012892500003838

@conference{keod24,
author={Pham Hien and Le {Nguyen Hoai Nam} and Cuong Pham{-}Nguyen},
title={Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD},
year={2024},
pages={15-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012892500003838},
isbn={978-989-758-716-0},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
TI - Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs
SN - 978-989-758-716-0
IS - 2184-3228
AU - Hien, P.
AU - Nguyen Hoai Nam, L.
AU - Pham-Nguyen, C.
PY - 2024
SP - 15
EP - 26
DO - 10.5220/0012892500003838
PB - SciTePress