In this project, a simulation method for predicting the learner's performance, a learning content generation method based on the learning simulation, and a learning environment for learning by teaching with the learner's copy model are developed to support the learner automatically. The core technology is a copy learner model, which imitates the learners' sentence generation process using a large-scale language model and is used for understanding detailed learning status. Based on the copy learner model, the learning system developed in this project integrates learning assessment, learning content generation, and a peer learning environment to automate the loop with the assessments, the content generation, and the support.