The Research on the Automatic Generation Method of Scaled and Personalized Training Model for Fundamental Disciplines

Given that the cultivation of talent in fundamental disciplines is a key strategy for educational and technological powerhouses worldwide, as well as China's high emphasis on it, this paper analyzes the factors that need to be considered in the cultivation of talent in fundamental disciplines and the existing issues in China’s talent development in these fields. It conducts research on large-scale, personalized education methods to promote individualized learning. The rapid development of computer technology and artificial intelligence provides both theoretical and data-based foundations for advancing personalized education on a large scale, as well as the feasibility of background technologies for automatically generating objective and scientific personalized training models. Based on this, the paper proposes a method for automatically constructing large-scale personalized training models, including paths, content, and methods. It also analyzes the key technical issues to be addressed and presents practical approaches and potential for future automatic generation of training models.