Kee‐Young Lee

Papers

1

Total Citations

2

H-Index

1

About

Kee-Young Lee is a researcher focused on educational technology and programming pedagogy, with a particular emphasis on making computational thinking accessible to novice learners. His most cited work, "The Development of an Educational Robot and Scratch-based Programming" (2016, 2 citations), explores the intersection of physical computing and visual programming environments. Lee’s major contribution lies in demonstrating how Scratch-based programming—with its graphic, LEGO-like instruction modules—can lower barriers to entry for students learning to code. By integrating educational robots with this intuitive interface, he provides a tangible, hands-on approach that bridges abstract programming concepts with real-world interaction. Though his citation count is modest, his work is notable for its practical application in classroom settings, offering a replicable model for educators seeking to engage students in STEM. Lee’s research underscores the value of visual, block-based languages in fostering early programming skills, and his development of an educational robot platform serves as a foundation for future studies in human-robot interaction and constructivist learning. His efforts contribute to a growing body of work that prioritizes accessibility and engagement in computer science education.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
The Development of an Educational Robot and Scratch-based Programming
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago