Differentiated Task Design and Feedback of SOLO Classification Method Based on Large Language Model-A Case Study of Parabola Teaching in High School

To address the inefficiency in traditional differentiated homework design and the lack of precision in stratification, while meeting the personalized teaching demands of core competency-oriented education, this study conducts research using the teaching of "parabola" in high school mathematics as a case study. By integrating large language models (LLMs)with the SOLO taxonomy, a differentiated homework design and feedback system was developed. The study validates the effectiveness of LLM-assisted SOLO classification theory in differentiated homework design, establishes a discipline-specific personalized homework framework, and provides theoretical basis and practical examples for the deep integration of artificial intelligence and mathematics education.