Meng-Hui Hsu

Papers

Total Citations

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About

Meng-Hui Hsu’s research lies at the intersection of educational technology, human-robot interaction, and self-regulated learning, with a particular focus on primary education. Her most cited work, “Development of Robotic Quiz Games for Self-Regulated Learning of Primary School Children” (2020, 10 citations), pioneers the use of intelligent robots as interactive tools to foster children’s autonomy and motivation in learning. By designing robotic quiz games that adapt to individual progress, Hsu demonstrates how technology can scaffold self-regulated learning (SRL) in young students—a critical yet underexplored area in educational robotics. Her subsequent study, “Designing Codes for Making AI Robots that Accompany English Learning” (2022), extends this work by integrating AI-driven facial expressions and movements into companion robots for language acquisition. This approach leverages children’s natural affinity for anthropomorphic robots to create engaging, low-anxiety environments for practicing English conversation. Although early in her career, Hsu’s contributions are notable for bridging theoretical frameworks of SRL with practical, code-based robot design, offering a replicable model for educators and technologists. Her work underscores the potential of affordable, programmable robots to transform classroom dynamics, making her a rising voice in child-centered AI education.