Xiangcheng Jia

Papers

Total Citations

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About

Xiangcheng Jia is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on the intelligent application of knowledge graphs. His most-cited work, "A Review of Intelligent Application of Educational Knowledge Graph from the Perspective of Artificial Intelligence" (2022), has garnered 8 citations and provides a comprehensive synthesis of how knowledge graph technology—rooted in semantic networks—revolutionizes knowledge search, reasoning, and personalized learning. Jia’s major contribution lies in bridging AI-driven semantic formalization with educational contexts, enabling more intuitive and adaptive knowledge discovery for students and educators. By systematically reviewing the rapid development of knowledge graphs, he has illuminated pathways for enhancing educational resource organization, intelligent tutoring systems, and curriculum design. His research underscores the transformative potential of AI in making education more efficient and tailored. Jia’s work is particularly notable for its forward-looking perspective, offering a roadmap for integrating cutting-edge AI techniques into real-world learning environments. As a researcher, he continues to shape how artificial intelligence can demystify complex knowledge structures, making him a key voice in the evolving field of AI in education.