This research explores the integration of AI-powered e-learning tools to enhance Japanese language acquisition, focusing on conversational and listening skills. By leveraging advanced NLP models, speech recognition, and adaptive learning technologies, an interactive platform that simulates real-life scenarios for language practice is being developed. The platform offers two modes: a messaging interface for written dialogue and a conversation interface for spoken interaction, both guided by AI. This study investigates the effectiveness of these tools in improving students' practical language skills, emphasizing the importance of context and active use over traditional grammar-focused methods. Preliminary results suggest significant improvements in learners' comprehension and speaking abilities, supporting the potential of AI-driven approaches in language education.

Authors:
Michal Macinka, University of Hradec Kralove, Czech Republic
Stepan Hubalovsky, University of Hradec Kralove, Czech Republic

About the Presenter(s)
Michal Macinka, Assistant Professor at The Kyoto College of Graduate Studies for Informatics, focuses on e-learning and AI in education. He also serves as a Senior Software Architect at SusDAT s.r.o., specializing in scalable software solutions.

Connect on Linkedin
https://www.linkedin.com/in/michal-macinka/

Connect on ResearchGate
https://www.researchgate.net/profile/Michal-Macinka

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