Exploring Semantic Web Tools in Education to Boost Learning and Improve Organizational Efficiency

Exploring Semantic Web Tools in Education to Boost Learning and Improve Organizational Efficiency

Liqun Wang (Beijing Normal University at Zhuhai, Zhuhai, China & Zhuhai University of Science and Technology, Zhuhai, China), Wei Han (Nanchang University, China), and Zhimin Xi (Central Chinal Normal University, China)
Copyright: © 2025 |Pages: 27
DOI: 10.4018/IJSWIS.370315
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Abstract

Semantic Web technologies in education provide opportunities to improve learning outcomes and organizational efficiency via organized and significant information representation. However, with progress in educational technology, there is an absence of frameworks using Semantic Web capabilities to provide tailored learning experiences and enhance administrative procedures efficiently. Hence, this study proposes a framework called “Education using Semantic Web Tools (E-SWT),” employing ontologies, metadata tagging, and intelligent reasoning systems. The method supports seamless platform interoperability, adaptive content delivery, and efficient resource management. The experimental results demonstrate that the proposed model increases the learning experience ratio by 96.12%, Organizational Efficiency ratio by 97.53%, Fostering Collaboration by 98.82%, Data Management ratio by 97.68%, and Personalized Learning Paths by 96.66% compared to other existing models.
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Motivation

The need to address the deficiencies of traditional education systems—such as rigidity, the disconnected treatment of educational data, and the lack of customized learning paths—led to the development of architecture tools. The Education using Semantic Web Tools (E-SWT) framework uses semantic web technologies (e.g., ontologies, knowledge graphs, and intelligent agents) to create a more adaptive and intelligent learning environment, increasing the discovery of materials, resource interoperability, and individualized learning experiences. The goal of the framework is to increase learning outcomes and institutional efficiency through personalized learning that responds to individual student needs while reducing administrative workloads.

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