Imitating Mistakes in a Learning Companion AI Agent for Online Peer Learning
This addresses the need for accessible peer learning companions in education, but it is incremental as it builds on existing peer learning concepts with a specific AI implementation.
The study tackled the problem of enabling effective peer learning by developing an AI agent that imitates learners' mistakes, assuming peers at the same proficiency level make similar errors, with validation focused on English composition.
In recent years, peer learning has gained attention as a method that promotes spontaneous thinking among learners, and its effectiveness has been confirmed by numerous studies. This study aims to develop an AI Agent as a learning companion that enables peer learning anytime and anywhere. However, peer learning between humans has various limitations, and it is not always effective. Effective peer learning requires companions at the same proficiency levels. In this study, we assume that a learner's peers with the same proficiency level as the learner make the same mistakes as the learner does and focus on English composition as a specific example to validate this approach.