Chapter 8. The Impact of AI on Motivation for Language Learning
Michiyo Oda and Ryo Saito
Abstract
This chapter investigates how AI literacy influences learner motivation in language study. Using quantitative data, the authors examine changes in intrinsic and extrinsic motivation as students engage with AI tools. The findings suggest that understanding and effectively using AI can enhance motivation, positioning AI literacy as an important component of modern language education.
About the Contributors
Michiyo Oda is an associate professor in the Faculty of Foreign Studies at Reitaku University, Japan, where she also serves as Director of the Center for Digital Communication Research. She earned her Ph.D. in Information Sciences from Tohoku University, Japan, and an M.A. in Digital Media Design for Learning from New York University, USA. Her research focuses on VR/AI-supported learning environments, multimedia education, and digital literacy development, with recent publications in JALTCALL Trends, IFIP Advances in Information and Communication Technology, and Japan Journal of Educational Technology. She is currently investigating the design and implementation of VR- and AI-supported learning environments for foreign-language education.
Ryo Saito is an Assistant Professor at the Graduate School of Information Sciences (GSIS), Tohoku University, Japan. He received his Ph.D. in Information Sciences, GSIS, Tohoku University. He specializes in cognitive science, psychology, and educational practice. His earlier work focused on human learning, particularly on retrieval practice, examining its effects and cognitive mechanisms. He has applied a multi-method approach, including laboratory experiments, classroom-based experiments, and questionnaire surveys. His recent research applies these disciplines to BOSAI (Disaster risk reduction [DRR]) through both practice and research. He has expanded his research methods through fieldwork and workshops conducted in Japan and abroad. Cognitive bias, the spatiotemporal nature of memory, and collective cognition are key concepts that underpin his research. Ultimately, he seeks to explore how people learn and learn together across societies in general.
Citation
Oda, M., & Saito, R. (2026). The impact of AI on motivation for language learning. In R. Dykes, O. Edwards, D. Bollen, & T. S. W. Lin (Eds.), Artificial intelligence in Japan’s language learning classrooms (pp. 198–216). Candlin & Mynard. https://doi.org/10.47908/45/8
This chapter investigates how AI literacy influences learner motivation in language study. Using quantitative data, the authors examine changes in intrinsic and extrinsic motivation as students engage with AI tools. The findings suggest that understanding and effectively using AI can enhance motivation, positioning AI literacy as an important component of modern language education.
About the Contributors
Michiyo Oda is an associate professor in the Faculty of Foreign Studies at Reitaku University, Japan, where she also serves as Director of the Center for Digital Communication Research. She earned her Ph.D. in Information Sciences from Tohoku University, Japan, and an M.A. in Digital Media Design for Learning from New York University, USA. Her research focuses on VR/AI-supported learning environments, multimedia education, and digital literacy development, with recent publications in JALTCALL Trends, IFIP Advances in Information and Communication Technology, and Japan Journal of Educational Technology. She is currently investigating the design and implementation of VR- and AI-supported learning environments for foreign-language education.
Ryo Saito is an Assistant Professor at the Graduate School of Information Sciences (GSIS), Tohoku University, Japan. He received his Ph.D. in Information Sciences, GSIS, Tohoku University. He specializes in cognitive science, psychology, and educational practice. His earlier work focused on human learning, particularly on retrieval practice, examining its effects and cognitive mechanisms. He has applied a multi-method approach, including laboratory experiments, classroom-based experiments, and questionnaire surveys. His recent research applies these disciplines to BOSAI (Disaster risk reduction [DRR]) through both practice and research. He has expanded his research methods through fieldwork and workshops conducted in Japan and abroad. Cognitive bias, the spatiotemporal nature of memory, and collective cognition are key concepts that underpin his research. Ultimately, he seeks to explore how people learn and learn together across societies in general.
Citation
Oda, M., & Saito, R. (2026). The impact of AI on motivation for language learning. In R. Dykes, O. Edwards, D. Bollen, & T. S. W. Lin (Eds.), Artificial intelligence in Japan’s language learning classrooms (pp. 198–216). Candlin & Mynard. https://doi.org/10.47908/45/8
Information About the Book
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Title: Artificial Intelligence in Japan’s Language Learning Classroom
Editors: Robert Dykes, Oliver Edwards, Dave Bollen, and Tina Shu-wen Lin Publication date: June 2026 Read more... |