The Research on AI-Empowered Project-Based Teaching Reform in Advanced Mathematics

Abstract

With the development of artificial intelligence technology, new technological paths have been created for the reform of teaching in Advanced Mathematics based on project-based learning. Based on the above theories, this paper will provide the theoretical basis and model for AI-assisted project-based teaching in Advanced Mathematics, and conduct studies at all three levels. The aims of this paper are to study the features of intelligent transformation in project-based teaching of advanced mathematics, explore how artificial intelligence can be applied to help students learn, and put forward a model for human-machine cooperative learning. At the level of mechanism, this paper puts forward a semantic association model for knowledge units and project themes, develops a difficulty-adaptive adjustment strategy based on student performance data, and constructs an intelligent matching path among multimodal resources and project tasks. At the level of intervention, this paper will record the process of a student's mathematical thinking, automatically detect problems in their reasoning, build a closed-loop system, and offer personalised help to motivate them to learn more. The aim of this paper is to promote the construction of data-driven, project-based teaching in Advanced Mathematics.