Professor Yugo Hayashi presents at AIED 2025

Professor Yugo Hayashi (RARA Associate Fellow) gave an oral presentation at AIED 2025 (26th International Conference on Artificial Intelligence in Education) held in Palermo, Italy from July 22nd to July 26th. AIED, organized by IAIED (The International Artificial Intelligence in Education Society), is an international conference known for high quality and innovative research on AI-assisted systems and cognitive science approaches for educational computing applications. Renowned as the leading conference in the field, experts from around the world gathered to engage in workshops and oral presentations. The acceptance rate of papers was 35% (280/800).

In the oral presentation, Professor Hayashi presented his research that examined the effectiveness of applying a “Teachable Agent (TA),” which is based on the “Learning by Teaching” paradigm, to enhance learning of learners in collaborative learning. The results showed that applying exocentric agent which incorporates learner’s grounded knowledge to give appropriate feedback is indeed effective in enhancing learning. The conference paper can be found in Springer’s Artificial Intelligence in Education, Lecture Notes in Computer Science (LNCS, volume 15882).

Paper title: Collaborative Learning Driven by an Erroneous Teachable Agent Leveraging Different Perspectives: Comparing Egocentric vs. Exocentric Feedback Using ACT-R
Authors: Yugo Hayashi, Shigen Shimojo & Tatsuyuki Kawamura
Publication journal: Artificial Intelligence in Education, Lecture Notes in Computer Science (LNCS, volume 15882)
Online publication date: July 20, 2025 (local time)
DOI: https://doi.org/10.1007/978-3-031-98465-5_44