Kai-Yi Chin

Papers

Total Citations

199

H-Index

About

Kai-Yi Chin is a researcher specializing in educational technology, human-robot interaction, and the integration of robotics into primary and elementary education. His work sits at the intersection of pedagogy and emerging technology, exploring how intelligent systems and robotic platforms can transform traditional classroom environments into dynamic, interactive learning experiences. Chin's most influential contribution, "Impact of Using an Educational Robot-Based Learning System on Students' Motivation in Elementary Education" (2014), has garnered 172 citations, establishing him as a notable voice in the field of educational robotics. This study addressed a critical gap in empirical research by providing concrete evidence of robots' effectiveness as instructional tools, particularly in boosting student motivation. His earlier work, "A Humanoid Robot as a Teaching Assistant for Primary Education" (2011), introduced a practical framework — the IDML toolset — enabling teachers to deploy humanoid robots as classroom assistants, enhancing student engagement through interactive experiences. More recently, Chin has expanded his research scope to include applied robotics and machine learning, investigating cloud-based image classification systems for autonomous waste-sorting robots. Across his body of work, Chin demonstrates a consistent commitment to making advanced technology accessible and educationally meaningful, particularly for younger learners.