An Exploration of Blended Teaching in Advanced Mathematics through the Integration of Knowledge Graphs and AI Teaching Assistants

Abstract

In the context of educational informatization and higher education reform, the blended teaching model plays a crucial role in the innovation of advanced mathematics education. Research shows that the deep integration of knowledge graphs and AI teaching assistants effectively addresses the issues of fragmented knowledge systems and insufficient personalized support in blended teaching. By providing structured knowledge presentation and intelligent learning support, it significantly enhances students’ autonomous learning abilities and knowledge retention efficiency. This approach offers a feasible practical path for the intelligent teaching reform of foundational courses in science and engineering.