Chin Soon Ku

Papers

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About

Chin Soon Ku is a researcher at the forefront of educational technology, with a primary focus on integrating robotics and artificial intelligence into language learning. His work centers on how robot-assisted systems can enhance English as a Foreign Language (EFL) instruction, particularly for adult learners. Ku’s major contribution lies in demonstrating the practical effectiveness of robot-tutoring approaches for improving oral reading and pronunciation—an area where empirical evidence had been scarce. His most-cited paper, "Utilizing robot-tutoring approach in oral reading to improve Taiwanese EFL students’ English pronunciation" (2024, 6 citations), addresses this gap by showing how a robot-tutoring system can significantly aid adult learners in developing more accurate English read-aloud skills. This work highlights Ku’s commitment to bridging the gap between emerging technologies and real-world pedagogical challenges. By providing concrete evidence for robot-assisted pronunciation training, he is helping to shape the future of language education, making it more interactive and accessible for non-native speakers. His research continues to inspire educators and technologists seeking innovative solutions for language acquisition.