Salam, Sazilah and Musa, Mohd Hafizan and Norasikin, Mohd Adili and Shabarudin, Muhammad Syahmie and Lestari, Uning (2025) A systematic agile framework for test-driven ontology validation in academic performance analytics and decision-making. Journal of Theoretical and Applied Information Technology, 103 (11). pp. 4721-4732. ISSN 1992-8645
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Abstract
The rapid growth of educational data from diverse e-learning platforms such as Learning Management Systems (LMS) and Student Information Systems (SIS) presents challenges for universities in integrating and analyzing this data to monitor student performance, assess course effectiveness, and optimize faculty resource allocation. Ontologies provide a robust framework for enabling semantic interoperability and facilitating the integration of heterogeneous data sources for Learning Analytics (LA) and decision-making purposes. This study introduces the SPC_Academic_Performance ontology, a domain-specific ontology developed to consolidate and analyze academic performance data. To ensure the reliability and accuracy of the SPC_Academic_Performance ontology, we adopt the Test-Driven Development Ontology (TDDOnto2) methodology. TDDOnto2 systematically integrates validation techniques into the ontology development process, focusing on consistency checking and property testing. By applying TDDOnto2, this study aims to address common challenges such as logical inconsistencies and incomplete property definitions, ensuring the ontology’s robustness for data integration and retrieval. The findings contribute to developing a systematic ontology validation framework that supports reliable ontology-driven analytics and informed decision making in higher education. This approach ensures that the proposed ontology can effectively map and retrieve data from heterogeneous sources, ultimately enhancing the accuracy and utility of Learning Analytics in academic performance monitoring and resource management.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Learning Analytics, University Ontologies, Data Retrieval Model, Ontologies Evaluation, Ontologies Validation, Web Semantic Ontology |
| Divisions: | Faculty of Information and Communication Technology |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 12 Dec 2025 01:57 |
| Last Modified: | 12 Dec 2025 01:57 |
| URI: | http://eprints.utem.edu.my/id/eprint/29238 |
| Statistic Details: | View Download Statistic |
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