Fengjiao Tu
Papers
1
Total Citations
8
H-Index
1
About
Fengjiao Tu is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on the intelligent application of educational knowledge graphs. Her most-cited work, "A Review of Intelligent Application of Educational Knowledge Graph from the Perspective of Artificial Intelligence" (2022), has garnered 8 citations, establishing her as a key voice in this emerging field. In this seminal review, Tu systematically examines how knowledge graph technology—rooted in semantic network theory—enables the formal description of entities and their relationships, revolutionizing knowledge search and reasoning in educational contexts. Her major contribution lies in bridging cutting-edge AI techniques with practical pedagogical challenges, offering a comprehensive framework for leveraging knowledge graphs to enhance personalized learning, intelligent tutoring, and educational resource management. By synthesizing recent advancements, Tu provides researchers and educators with a roadmap for deploying AI-driven tools that make educational content more accessible, interconnected, and adaptive. Her work is particularly notable for its forward-looking perspective, anticipating how these technologies will reshape knowledge discovery and reasoning in classrooms and digital learning environments. As the field of AI in education rapidly evolves, Tu’s foundational review continues to guide new investigations into intelligent educational systems.
Research Focus
Key Achievements
Top Papers
- 1