Hao-Chiang Koong Lin
Papers
2
Total Citations
8
H-Index
2
About
Hao-Chiang Koong Lin is a leading researcher at the intersection of artificial intelligence, affective computing, and innovative pedagogy. His work centers on integrating emotional AI and conversational robots into educational environments to enhance learning outcomes and student engagement. A key contribution is his pioneering use of WSQ (Watch-Summary-Question) flipped teaching combined with affective conversational robots, demonstrating significant impacts on senior high school students' learning emotions, self-directed learning, and overall effectiveness—a study that has garnered 6 citations since 2024. Lin also advances cooperative learning in maker education by employing AI chatbot-based tutoring systems and STEAM 6E scaffolds, a novel approach that bridges technology and collaborative problem-solving. His research consistently explores how emotional intelligence in machines can transform traditional learning paradigms, making him a notable figure in educational technology. With a focus on practical, emotion-aware AI tools, Lin’s work offers actionable insights for educators and technologists aiming to create more responsive, human-centered learning systems.
Research Focus
Key Achievements
Top Papers
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