Jia‐Hua Zhao
Papers
2
Total Citations
118
H-Index
2
About
Jia-Hua Zhao is a leading researcher at the intersection of educational technology, artificial intelligence, and human–robot interaction. Their work focuses on transforming passive, lecture-based instruction into dynamic, gamified learning experiences, particularly in high-stakes fields like laboratory safety. Zhao’s most cited paper (99 citations) introduces a gamified AI educational robot that significantly boosts undergraduate students’ learning effectiveness and engagement in safety courses—a critical area where traditional methods often fall short. This research demonstrates how intelligent agents can make abstract safety protocols tangible and motivating. More recently, Zhao has advanced the field by integrating the ICAPB model (Interactive, Constructive, Active, Passive, and B) into robot-supported collaborative learning, showing how students’ pre-knowledge and engagement levels shape outcomes (19 citations). Their work not only provides empirical evidence for AI’s role in personalized education but also offers practical frameworks for designing adaptive learning environments. By bridging robotics, gamification, and pedagogical theory, Zhao is shaping the future of how students interact with technology to master complex, real-world skills.
Research Focus
Key Achievements
Top Papers
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