Ronghuai Huang
Papers
4
Total Citations
71
H-Index
4
About
Ronghuai Huang is a leading scholar in the field of smart learning environments and educational technology, with a particular focus on the integration of artificial intelligence and robotics in education. His research primarily examines how intelligent systems—including robots, digital twins, avatars, and conversational agents—can be synergistically combined with human teachers to create more effective, personalized, and inclusive learning experiences. Huang’s major contributions include developing the iSTAR framework, which outlines the future of human-machine collaboration in education, and conducting systematic reviews that reveal the critical roles of stakeholders and contextual factors in robot-assisted special education. His work has garnered significant attention, with key papers accumulating over 30 citations each, demonstrating their influence on the field. Notably, Huang has pioneered research on using educational robots to enhance learning outcomes and has explored the potential of conversational agents for personalized tutoring, addressing both the design and implementation challenges of these technologies. His achievements position him as a key figure in shaping the educational futures of intelligent human-machine synergies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Using Educational Robots to Enhance Learning5 citations · 2024
- 4Personalized Tutoring Through Conversational Agents4 citations · 2024