Author(s)

Su Zhang

Corresponding Author

Su Zhang

Abstract

This article focuses on the study of individualized growth of students with the help of AI (Artificial Intelligence). With the improvement of education's attention to students' individuality, the traditional education model is difficult to meet individual needs, and the development of AI technology brings opportunities. By integrating the theory of students' individualized development, the theory of intelligent technology empowerment education and the theory of tracing growth trajectory, this article establishes a multi-source data acquisition system, and uses AI data preprocessing technology and deep learning algorithm to build a model of students' individualized growth trajectory. At the same time, the paper builds a decision support system composed of data collection and preprocessing, intelligent analysis and decision output module. After a one-year follow-up experiment on 200 students, the results show that the model has an accuracy rate of 87% and a recall rate of 84%. It can effectively describe the growth trajectory of students, and the decision support system has a positive impact on improving students' grades and stimulating their interest in learning, providing scientific and powerful support for educators to make individualized education decisions.

Keywords

Artificial Intelligence; Students' Individualized Growth; Trajectory Modeling; Decision Support