Jen‐Hang Wang

National Central University

Papers

6

Total Citations

110

H-Index

3

About

Jen-Hang Wang is a pioneering researcher at the intersection of educational technology and human-robot interaction, whose work is redefining how robots can transform classroom learning. His primary research areas include situated learning, interactive robotics, and digital learning environments, with a focus on creating engaging, sustainable educational tools. Wang’s major contributions center on developing robots as active learning companions—from a ventriloquist doll that facilitates self-dialogue to a classroom host that boosts audience participation in drama-based learning. His most impactful work, "Robots in situated learning classrooms with immediate feedback mechanisms to improve students' learning performance" (2022, 81 citations), demonstrates how real-time robotic feedback can significantly enhance student outcomes. Wang also explores innovative concepts like digital twins of pet robots to foster long-term interdependent relationships, as seen in his 2024 study (8 citations), and applies interdependence theory to sustain human-robot bonds beyond the classroom. With a career spanning from early experiments in 2005 to recent advances, Wang’s research has garnered over 110 citations, marking him as a key figure in educational robotics. His notable achievements include designing systems that turn passive audiences into active participants, offering a glimpse into a future where robots are not just tools, but partners in learning.

Research Focus

Key Achievements

3
H-Index
6
Papers
110
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Robots in situated learning classrooms with immediate feedback mechanisms to improve students' learning performance
81 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: National Central University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago