Shintaro Maeda

Tokyo Polytechnic University

Papers

2

Total Citations

4

H-Index

2

About

Shintaro Maeda is a researcher dedicated to transforming how students learn programming through collaborative, code-centric platforms. His work centers on computer science education, specifically leveraging social and peer-learning dynamics to improve coding skills. Maeda’s key contributions involve designing and evaluating systems that encourage learners to share, review, and refine code together, moving beyond solitary problem-solving. His 2023 paper, "Classroom Practice Using a Code-Sharing Platform to Encourage Refinement Activities," demonstrates how structured peer interaction can deepen understanding, while his 2022 study, "A Knowledge Sharing Platform for Learning from Others’ Code," outlines the theoretical and practical foundations for such environments. Though his most-cited works each have 2 citations, their impact lies in their practical, classroom-ready insights, offering a replicable model for educators. Maeda’s research bridges the gap between individual coding exercises and collaborative software development, preparing students for real-world teamwork. His work is especially valuable for instructors seeking evidence-based methods to foster code literacy and iterative improvement in programming courses.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Classroom Practice Using a Code-Sharing Platform to Encourage Refinement Activities
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tokyo Polytechnic University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago