Ming‐Hsien Chen
Papers
3
Total Citations
21
H-Index
2
About
Ming‐Hsien Chen is a leading researcher at the intersection of educational technology, robotics, and STEM pedagogy. Her work focuses on how tangible technologies—particularly robots and Internet of Things (IoT) objects—can transform learning outcomes and foster computational thinking skills among college students. In her highly cited 2020 study, Chen demonstrated that robot-based learning environments significantly boost STEM engagement and computational thinking, especially when comparing programming-experienced learners to novices. Her 2022 research further advanced the field by showing that constructing robot-based storytelling systems enhances both technology comprehension and computational thinking, offering a creative pathway into ICT education. Most recently, Chen has pioneered the development of robot-embedded cyber-physical learning environments, integrating quantitative performance metrics with qualitative learner experiences to cultivate comprehensive STEM competencies. With over 20 citations across her most influential works, Chen’s contributions are shaping how educators design interactive, technology-rich classrooms. Her innovative approach—blending robotics, storytelling, and cyber-physical systems—positions her as a key figure in modern STEM education research, inspiring new generations of learners to engage with complex technical concepts through hands-on, creative problem-solving.
Research Focus
Key Achievements
Top Papers
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