Imitating Mistakes in a Learning Companion AI Agent for Online Peer Learning

TL;DR

This paper proposes an AI learning companion that imitates learners' mistakes to facilitate peer learning in English composition, aiming to overcome limitations of human peer learning by matching proficiency levels.

Contribution

It introduces a novel approach where the AI mimics learners' errors to create effective peer learning environments at any time.

Findings

AI successfully imitates learner mistakes in English composition.

The approach enhances peer learning by providing tailored feedback.

Potential for scalable, proficiency-matched peer learning environments.

Abstract

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.