Yu-Sheng Su
Papers
3
Total Citations
68
H-Index
2
About
Yu-Sheng Su is a leading researcher at the intersection of computational thinking education, human-computer interaction, and emerging learning technologies. His primary work focuses on how visual programming environments (VPEs) and physical robotics can cultivate computational thinking in elementary students. In his most-cited study (2021, 63 citations), Su systematically explored the relationship between VPEs and the computational thinking performance of fifth- and sixth-graders, providing critical evidence for integrating such tools into early education curricula. He also developed e-Tuning, an innovative interactive teaching aid that combines building blocks with programming logic, allowing young children to grasp abstract coding concepts through tangible, hands-on play. Beyond K-12 education, Su has contributed to the broader field of neurorobotics, using bibliometric analysis to map recent synergies between machine learning and neurorobotics (2022). His work bridges the gap between physical learning tools and digital programming logic, making him a key figure in designing accessible, engaging pathways for developing 21st-century skills in young learners.
Research Focus
Key Achievements
Top Papers
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