Chan Dong Koo
Papers
1
Total Citations
11
H-Index
1
About
Chan Dong Koo is an emerging researcher in educational robotics, with a primary focus on integrating humanoid robots into elementary school learning environments. His most cited work, "Teachers and Students' Recognition about Learning with a Humanoid Robot in Elementary School" (2014), has garnered 11 citations, laying foundational groundwork for understanding stakeholder perceptions in robot-assisted education. Koo’s research explores the intersection of human-robot interaction and pedagogy, examining how both educators and young learners perceive and adapt to robotic teaching assistants. By investigating the practical and psychological dimensions of classroom robotics, his contributions help bridge the gap between technological innovation and real-world educational implementation. Though his citation count is modest, his work is significant for its early exploration of a rapidly growing field, offering insights that inform curriculum design and teacher training for AI-integrated classrooms. Koo’s research underscores the importance of user acceptance in educational technology, making him a notable voice in the ongoing dialogue about the role of robots in shaping future learning experiences.
Research Focus
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Top Papers
- 1