Kai‐Chao Yao
Papers
6
Total Citations
92
H-Index
4
About
Dr. Kai-Chao Yao is a leading researcher at the intersection of robotics education, artificial intelligence, and motivation theory. His work focuses on how emerging technologies—including augmented reality (AR), IoT, and AI—can transform technical education and cultivate 21st-century competencies. Dr. Yao’s most influential study (69 citations) experimentally demonstrates that combining AR with competition in robotics classrooms significantly boosts students’ group collaboration, learning motivation, and essential skills. He has also pioneered the integration of motivation theory into AI education curricula, showing that thoughtfully designed AI learning experiences improve outcomes, particularly for students with higher computer self-efficacy. Beyond these contributions, Dr. Yao has developed and validated innovative teaching modules—such as the IoT Smart Home Robot module and thematic deep-learning frameworks—that bridge psychomotor and affective learning domains. His work is characterized by rigorous evaluation using fuzzy number and grey system models, ensuring practical, scalable impact. With a growing citation footprint and recent publications in 2025, Dr. Yao is shaping the future of how we teach and learn with intelligent technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6