Abstract
This study explored the effectiveness of a blended approach of combining traditional instruction with AI technology in teaching presentation skills to Japanese university students. For the traditional instruction, Deliver Your Message was utilized, which was a textbook developed to enhance oral presentation skills for Japanese EFL students at the university level by offering step-by-step guidance in preparing and delivering presentations. For the AI technology, the AI system on the e-learning platform EnglishCentral was adopted, which provided real-time practice and feedback for students outside of class. 12 students participated in the study and filled in a questionnaire consisting of Likert-scale questions and open-ended questions. Quantitative data gathered from the former type of questions were on the students’ satisfaction and confidence in public speaking, while qualitative data collected from the latter type of questions were on their engagement with both the blended approach. Initial findings indicated that the combination of structured learning and AI-driven practice helped the students gain confidence and improved their ability to organize and deliver presentations in English. These findings suggested that AI-based systems could be utilized to support language learning efficiently and effectively in higher education, especially in combination with structured textbook instruction to enhance students’ presentation skills.
Author Information
Makoto Shishido, Tokyo Denki University, Japan
Mariko Takahashi, Kwansei Gakuin University, Japan
Paper Information
Conference: IICE2025
Stream: Design
This paper is part of the IICE2025 Conference Proceedings (View)
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To cite this article:
Shishido M., & Takahashi M. (2025) Enhancing Oral Presentation Skills for Japanese EFL Students: A Research-Based Approach Using AI-Driven Learning Tools ISSN: 2189-1036 – The IAFOR International Conference on Education – Hawaii 2025 Official Conference Proceedings (pp. 583-596) https://doi.org/10.22492/issn.2189-1036.2025.50
To link to this article: https://doi.org/10.22492/issn.2189-1036.2025.50
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