I‐Chun Hung
Papers
5
Total Citations
215
H-Index
4
About
I-Chun Hung is a leading researcher in technology-enhanced learning, specializing in human-robot interaction, ubiquitous learning systems, and motivational design in education. His pioneering work integrates robotics, mobile technology, and pedagogical theories—such as experiential learning and constructivism—to create joyful, effective learning environments. Hung’s most impactful contribution is the Joyful Classroom Learning System (JCLS), which employs a robot learning companion to teach mathematics multiplication to children, amassing 118 citations. He further advanced the field by designing robot teaching assistants that sustain learning motivation over time, addressing the common pitfall of novelty-driven engagement. His research on situated embodiment-based strategies, like using flag semaphore for procedural knowledge construction, demonstrates innovative approaches to kinesthetic learning. With additional work on ubiquitous learning systems and the application of the ARCS motivation model, Hung has consistently shown how robots can serve as dynamic educational tools. His studies, widely cited in educational technology and human-robot interaction literature, underscore his role in shaping how technology can foster sustained, joyful, and meaningful learning experiences for children.
Research Focus
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