Papers
6
Total Citations
259
H-Index
5
About
Meng-Jung Tsai is a leading researcher in computer literacy, robotics education, and the assessment of self-efficacy in technology-enhanced learning. Her major contributions center on developing and validating psychometric instruments that measure students’ and teachers’ perceptions and competencies in programming, design thinking, and robotics. Notably, her most-cited work, "Developing the Computer Programming Self-Efficacy Scale for Computer Literacy Education" (2018, 177 citations), provides a foundational tool for understanding young learners’ confidence in coding. She further advanced the field by creating the Robotics Learning Self-Efficacy Scale (2021, 15 citations) and exploring the interplay between design thinking disposition and programming self-efficacy (2020, 53 citations). Tsai’s recent research (2024) investigates how teachers’ computational and design thinking dispositions predict their robotics pedagogical content knowledge, highlighting her focus on educator preparation. Her work has been instrumental in shaping assessment frameworks for K-12 technology education, bridging the gap between student learning and teacher readiness. With a growing citation impact, Tsai continues to influence curriculum design and instructional practices in computer science and robotics literacy.
Research Focus
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Top Papers
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