Research on E-commerce Assisted Teaching System Based on Artificial Intelligence Technology

With the rapid development of artificial intelligence technology represented by machine learning and natural language processing in the world, its application scenarios in the field of education are increasingly rich and in-depth, which is profoundly changing the traditional teaching mode and methods. This paper focuses on the field of e-commerce education, and is committed to conducting in-depth research and building an innovative e-commerce-assisted teaching system based on artificial intelligence technology. In the study, we conducted a comprehensive analysis of the system architecture to ensure its stability and scalability. The core functions are analyzed, including personalized learning path planning, intelligent question answering and teaching evaluation modules, which can customize learning plans according to students; conditions, quickly answer questions, and monitor the learning effect to guide teaching strategies. This paper deeply discusses how the artificial intelligence technology can significantly improve the quality and efficiency of e-commerce teaching. Through a large amount of data and charts, the students; study behaviors and achievements before and after using the system are relatively analyzed, which proves the effectiveness and practicability of the e-commerce assisted teaching system based on artificial intelligence.