Chin-Chin Tseng

Papers

Total Citations

H-Index

About

Chin-Chin Tseng is a pioneering researcher at the intersection of educational technology, second language acquisition, and human-robot interaction. Her work focuses on leveraging social robots and artificial intelligence to transform language learning, particularly for Chinese as a second language (CSL) learners and immigrant populations. Tseng’s major contributions include developing TPACK-based teacher training frameworks for robot-assisted language learning (RALL), equipping educators with the technological, pedagogical, and content knowledge needed to integrate humanoid robots effectively into classrooms. Her 2022 case study on CSL teacher training (3 citations) provides a foundational model for preparing instructors to use robots as teaching assistants. In her innovative 2022 study on using humanoid robots for immigrants’ well-being (2 citations), Tseng explores how conversational AI can support second language practice, social adaptation, and rights awareness among migrant workers in Taiwan. This work bridges language education with social justice, demonstrating how technology can foster inclusion and empowerment for vulnerable communities. Tseng’s research is notable for its practical, human-centered approach, offering actionable insights for educators, technologists, and policymakers seeking to harness robotics and AI for equitable language learning and social integration.