Koya Iwase
Papers
1
Total Citations
8
H-Index
1
About
Koya Iwase is a researcher at the intersection of educational technology and personality psychology, best known for exploring how individual differences shape learning outcomes in human–robot interaction. His most-cited work, “Relationship Between Learning by Teaching with Teachable Chatbots and the Big 5” (2021, 8 citations), investigates why teachable agents—AI systems that students instruct—are not universally effective. By linking the Big Five personality traits to learning gains from teaching chatbots, Iwase demonstrated that traits like openness and conscientiousness significantly moderate the pedagogical benefits of these tools. This contribution challenges the one-size-fits-all assumption in AI tutoring, offering a nuanced framework for designing adaptive educational technologies. While his citation count is modest, his work is notable for bridging personality theory with human–computer interaction, providing early empirical evidence that learner characteristics must inform the deployment of teachable agents. His research is particularly valuable for developers of personalized learning systems and for educators seeking to match instructional tools to student profiles.
Research Focus
Key Achievements
Top Papers
- 1