Yau-Dong Liang
Papers
1
Total Citations
19
H-Index
1
About
Yau-Dong Liang is an educational researcher whose work bridges experiential learning theory and technology-enhanced assessment. His most-cited paper, "Lego NXT information on test dimensionality using Kolb’s innovative learning cycle" (2012, 19 citations), exemplifies his core research focus: integrating hands-on, constructivist learning with psychometric evaluation. Liang’s major contribution lies in applying Kolb’s experiential learning cycle to the design and dimensionality analysis of educational tests, particularly those involving programmable robotics like Lego NXT. This approach not only advances understanding of how students learn through active experimentation but also offers a novel framework for validating assessments in STEM education. While his citation count reflects a niche but growing impact, Liang’s work is notable for its interdisciplinary synthesis—combining educational psychology, measurement theory, and technology. His research is particularly relevant for educators and researchers exploring how tangible, interactive tools can reveal deeper dimensions of student learning. By demonstrating that test dimensionality can be informed by innovative learning cycles, Liang provides a practical pathway for designing more authentic, engaging assessments that capture complex cognitive processes.
Research Focus
Key Achievements
Top Papers
- 1