Papers
3
Total Citations
148
H-Index
3
About
Chi-Jen Lin is a leading researcher at the intersection of artificial intelligence, language education, and computational thinking. His work primarily focuses on leveraging AI-powered tools—such as chatbots and robots—to transform English as a Foreign Language (EFL) learning and early childhood education. Lin’s most cited study (125 citations) tackles the persistent challenge of limited speaking practice in EFL flipped classrooms by integrating mind map-guided AI chatbots, demonstrating how technology can create immersive conversational environments. He has also pioneered the use of AI-based robots combined with the ICAP (Interactive, Constructive, Active, Passive) learning model to foster computational thinking in young learners, addressing both technological complexity and gender gaps in STEM engagement. Additionally, his systematic review of technology-enhanced strategies in speech-language pathology (2004–2023) provides a critical roadmap for integrating digital tools into clinical language interventions. With a growing citation footprint and a focus on practical, scalable solutions, Lin’s work bridges cutting-edge AI with pedagogical theory, offering actionable insights for educators and technologists aiming to make language learning more interactive, inclusive, and effective.
Research Focus
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