Hotspots and Frontier Evolution of AI Research on Special Education in China: A Knowledge Graph Analysis Based on CiteSpace

Yu Luo; Ying Liu

doi:10.6918/

Authors

Yu Luo College of Teachers Chengdu University, Chengdu 610106, Sichuan, China
Ying Liu College of Teachers Chengdu University, Chengdu 610106, Sichuan, China

DOI:

https://doi.org/10.6918/

Keywords:

Special education; artificial intelligence; CiteSpace knowledge graph; visual analysis.

Abstract

This research reviews the research progress, key topics, and development trends of artificial intelligence (AI) in special education in China, takes AI-related literatures on special education from the China National Knowledge Infrastructure (CNKI) as samples, and CiteSpace software is used for visual analysis. The result suggests that although publication volume has fluctuated, the overall trend rises. Current research primarily focuses on AI support for special education, intelligent assessment and intervention for children with special needs, and applications of virtual reality technology and so on. Research frontiers have expanded from early focus on autism intervention and single assistive technologies to broader topics such as human-computer interaction, inclusive education, and AI-supported teaching and learning. Future research should strengthen interdisciplinary collaboration, cooperation among research institutions, broaden research subjects and age stages, and enhance the educational application of AI in real educational situation.

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