Toshinori Yamasaki

Kagawa University

Papers

3

Total Citations

11

H-Index

3

About

Toshinori Yamasaki’s research focuses on innovative approaches to computer science education, particularly in introductory programming. His major contribution lies in developing engaging, hands-on learning environments that use LEGO Mindstorms robotics to teach C programming and problem-solving skills. By integrating robot contests and game strategy planning tools, Yamasaki addresses a critical challenge in computing education: motivating students and making abstract algorithmic thinking tangible. His most cited works, including “LEGO Robot Programming Exercise Support for Problem Solving Learning with Game Strategy Planning Tools” (2007, 4 citations) and “Exercise Analysis and Lesson Plan with Robot Behavior in LEGO Programming Contest for Problem Solving Learning” (2006, 4 citations), propose structured exercise models where students design robot behaviors in competitive contexts. These papers, along with “Goalpost: LEGO programming exercise support” (2005, 3 citations), demonstrate how collaborative, project-based activities can transform programming from a dry syntax exercise into an engaging problem-solving adventure. Yamasaki’s work is notable for its practical, classroom-ready frameworks that help teachers implement robot-based curricula, fostering both technical skills and teamwork. While his citation counts are modest, his ideas represent an important pedagogical shift toward experiential learning in early programming education, inspiring educators to rethink how they introduce computational thinking to beginners.

Research Focus

Key Achievements

3
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
LEGO Robot Programming Exercise Support for Problem Solving Learning with Game Strategy Planning Tools
4 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Kagawa University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago