The Power of Personalized Datasets: Advancing Chinese Composition Writing for Elementary School through Targeted Model Fine-Tuning

Today, the Large Language Model profoundly affects the way we work in all walks of life, as well as the way we teach in the field of education. In this paper, we focus on the Large Language Model we designed for composition education in elementary school language. We focus on the accurate understanding of Chinese vocabulary and the adaptation of language vocabulary and language structures for the domain of elementary school students. At the same time, we also pay attention to the current educational concerns about the misuse of the LLM, and target the sensitive questioning designed about it. In the process, we collected datasets related to composition tutoring in elementary school language and generated multiple rounds of student– teacher dialogues using ChatGPT-3.5. We obtained a more ideal model for essay tutoring in elementary school language by using different datasets and different data input methods.