Ting‐Wen Chang
Papers
1
Total Citations
31
H-Index
1
About
Dr. Ting-Wen Chang is a leading researcher at the intersection of artificial intelligence and education, where he explores the future of human-machine collaboration in learning environments. His work centers on developing frameworks that integrate intelligent systems—including digital twins, avatars, and robots—with human educators to create synergistic educational experiences. Dr. Chang's most notable contribution is the iSTAR framework, introduced in his highly cited 2023 paper (31 citations), which provides a comprehensive model for safe and responsible human-AI collaboration in education. This framework addresses critical dimensions of AI integration, ensuring that technological advances enhance rather than replace human teaching. His research has significant implications for designing adaptive learning environments where digital and physical agents work alongside teachers to personalize instruction and support diverse learner needs. Dr. Chang's work is pioneering the educational paradigms of tomorrow, establishing foundational principles for how humans and intelligent machines can co-create effective, ethical, and engaging learning experiences. His contributions are shaping the discourse on the future of education in an AI-augmented world.
Research Focus
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Top Papers
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