Enhancing Class Management in Chinese Schools Through Semantic Web Technologies

Jing Li, Akshat Gaurav, Kwok Tai Chui

Source Title: International Journal on Semantic Web and Information Systems (IJSWIS)19(1)

ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781668479094|DOI: 10.4018/IJSWIS.328527

MLA

Li, Jing, et al. "Enhancing Class Management in Chinese Schools Through Semantic Web Technologies." IJSWIS vol.19, no.1 2023: pp.1-14. http://doi.org/10.4018/IJSWIS.328527

APA

Li, J., Gaurav, A., & Chui, K. T. (2023). Enhancing Class Management in Chinese Schools Through Semantic Web Technologies. International Journal on Semantic Web and Information Systems (IJSWIS), 19(1), 1-14. http://doi.org/10.4018/IJSWIS.328527

Chicago

Li, Jing, Akshat Gaurav, and Kwok Tai Chui. "Enhancing Class Management in Chinese Schools Through Semantic Web Technologies," International Journal on Semantic Web and Information Systems (IJSWIS) 19, no.1: 1-14. http://doi.org/10.4018/IJSWIS.328527

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Abstract

This paper explores the potential of utilizing semantic web technologies to improve class management in Chinese schools. By analyzing a comprehensive dataset obtained from the Scopus database, the study investigates publication trends, document types, keyword distributions, and author contributions in the field of semantic web technologies for class management. The findings reveal a growing interest in this research area and highlight the benefits of semantic web technologies in personalized learning, information retrieval, collaboration, and assessment. The paper discusses the practical implications, challenges, and considerations for implementing semantic web technologies in Chinese schools. It aims to provide valuable insights for educators, researchers, policymakers, and educational technology practitioners interested in enhancing class management practices through the innovative use of semantic web technologies.