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
Top Papers
- 1The Development of an Educational Robot and Scratch-based Programming2 citations · 2016