Papers
2
Total Citations
64
H-Index
2
About
Kuo-Jen Chao is a researcher whose work lies at the intersection of educational technology, human-robot interaction, and motivational psychology. His primary research focus is on designing and deploying robotic teaching assistants that can sustain, not just spark, student learning motivation. Chao’s most cited work, "Designing a robot teaching assistant for enhancing and sustaining learning motivation" (2012, 60 citations), critically addresses a common pitfall in educational robotics: the rapid decline of student engagement after the novelty of the technology wears off. He argues that lasting motivation requires embedding sound instructional design into the robot’s interactions, rather than relying on the robot’s novelty alone. In a related study (2011, 4 citations), Chao explicitly applies Keller’s ARCS (Attention, Relevance, Confidence, Satisfaction) model to this challenge, providing a theoretical framework for designing robotic assistants that maintain learner interest over time. His contributions are particularly valuable for educators and technologists seeking to move beyond gimmicky uses of robots in classrooms, offering evidence-based strategies for creating meaningful, sustained educational experiences. Chao’s work continues to influence the design of interactive learning environments.
Research Focus
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Top Papers
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