Papers
1
Total Citations
15
H-Index
1
About
An-Hsuan Wu is a leading figure in robotics education research, with a focused expertise in the development of psychometrically sound assessment tools for emerging STEM fields. Her most influential work centers on the critical gap between the rapid integration of robotics into school curricula and the lack of validated instruments to measure student learning. Wu’s landmark contribution is the creation and rigorous validation of the Robotics Learning Self-Efficacy Scale (RLSES), a pioneering tool grounded in Bloom’s Taxonomy of educational objectives. This instrument, detailed in her highly cited 2021 paper (15 citations), provides educators and researchers with a reliable method to gauge students’ confidence in mastering robotics concepts, from basic knowledge to complex evaluation. By addressing this measurement void, Wu’s work has directly enabled more empirical studies on robotics pedagogy and learner outcomes. Her achievement lies not only in the scale’s development but in establishing a foundational framework for future assessment in technology-driven education, marking her as a key architect of the methodological infrastructure supporting modern STEM learning.
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