Yuchen Chen
Papers
6
Total Citations
86
H-Index
5
About
Yuchen Chen is an emerging educational technology researcher whose work sits at the intersection of robotics education, computational thinking, and early childhood learning. With a focus on K-12 and preschool contexts, Chen has made meaningful contributions to understanding how young learners engage with programming and robotics, particularly through innovative pedagogical approaches. Most notably, Chen developed an embodied learning-based computer programming approach to robotics education, which garnered 32 citations since its 2023 publication, signaling strong interest from the research community. Building on this, Chen introduced a metaphor-based robot programming framework to support children's computational thinking and positive learning behaviors, accumulating 19 citations. A particularly impactful strand of Chen's research compares unplugged and robot programming activities for preschoolers, examining their effects on computational thinking and executive functions — a study already cited 18 times since 2025. Chen has also pioneered the use of the Draw-A-Robot Test as a diagnostic tool for understanding elementary students' perceptions of robots, combining quantitative and visual methodologies. Collectively, Chen's body of work advocates for developmentally appropriate, creative approaches to early STEM education, establishing a distinctive and growing scholarly voice in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6