Sheng-Wen Hsieh
Papers
1
Total Citations
32
H-Index
1
About
Dr. Sheng-Wen Hsieh is a leading researcher in computational thinking education and STEM pedagogy, with a focus on integrating tangible technologies into project-based learning. His most cited work, "Teaching the Concept of Computational Thinking: A STEM-Based Program With Tangible Robots on Project-Based Learning Courses" (2022, 32 citations), demonstrates his pioneering approach to making abstract computational concepts accessible through hands-on robotics. This paper has become a foundational reference for educators seeking to bridge the gap between theoretical computational thinking and practical classroom implementation. Dr. Hsieh's research addresses the critical challenge of preparing students for a computing-saturated world, arguing that computational thinking is now an essential competency for informed citizenship and STEM success. His work stands out for its innovative use of tangible robots as pedagogical tools, moving beyond screen-based learning to engage students in physical, collaborative problem-solving. By designing curriculum that seamlessly integrates computational thinking with STEM disciplines, Dr. Hsieh has provided educators with evidence-based strategies for developing 21st-century skills. His contributions are particularly valuable for researchers and practitioners working to democratize computing education and ensure all students can participate meaningfully in our increasingly digital society.
Research Focus
Key Achievements
Top Papers
- 1