Qifang Zhong

Central China Normal University

Papers

1

Total Citations

4

H-Index

1

About

Qifang Zhong is a researcher whose work lies at the intersection of educational technology and robotics, with a particular focus on collaborative learning strategies. In their most-cited study, "Pair Learning in Robotics Education: Design, Outcomes, and Lessons Learned" (2021, 4 citations), Zhong investigated how pair learning influences project-based robotics education among middle school students. This research provided critical insights into the design and implementation of collaborative learning in STEM contexts, highlighting both the benefits and potential pitfalls of peer interaction in technical education. By working directly with 42 seventh and eighth graders, Zhong's study offered practical, evidence-based recommendations for educators seeking to integrate robotics into their curricula. While their citation count is modest, the work contributes meaningfully to the growing body of literature on how social learning dynamics can enhance engagement and outcomes in robotics education. Zhong's research is particularly valuable for educators and instructional designers looking to optimize group work in hands-on, technology-driven learning environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Pair Learning in Robotics Education: Design, Outcomes, and Lessons Learned
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Central China Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago