This paper exhibits personalized blended teaching on General Physics: Mechanics through curriculum knowledge graphs and artificial intelligence (AI) workbenches. Author systematically organize hierarchical relationships of knowledge points, then use visualization tools to generate curriculum knowledge graphs integrated with pedagogical resources. According to AIgenerated preclass and inclass quizzes for key knowledge points, the teacher can monitor student learning progress in realtime. After tracking and analyzing students online learning data, the workbench generates personalized study reports using AI. Based on students' individual proficiency levels, personalized afterschool learning plans are developed. Highachieving students are offered enrichment programs, while those with lower learning attainment receive customized exercises to strengthen their understanding of weak knowledge areas. The “AIenhanced curriculum knowledge graph” onlineoffline blended teaching model provides a replicable reference case for personalized blended teaching in higher education.