Ronghuai Huang

Beijing Normal University

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

4
H-Index
4
Papers
71
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A Systematic Review on Robot-Assisted Special Education from the Activity Theory Perspective
31 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Beijing Normal University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago