Research on Intelligent Teaching Mode of Economics Course Based on Artificial Intelligence

This paper proposes an economics course teaching system based on artificial intelligence, aiming at improving teaching quality and learning efficiency through intelligent means. The system integrates distance teaching technology, supports students to access learning resources anytime and anywhere, and realizes the flexibility of time and space in teaching. The core functions of the system include personalized teaching content recommendation, intelligent tutoring, and real-time learning feedback, which are designed based on advanced artificial intelligence algorithms. In terms of database design, the system adopts modular structure to ensure the diversity and scalability of teaching resources, and optimizes the resource retrieval algorithm to improve the access speed and matching accuracy of teaching resources. The design of teaching resource scheduling algorithm considers students' learning habits and cognitive level. Through intelligent analysis of students' learning data, the push strategy of teaching resources can be dynamically adjusted to meet different students' learning needs. System simulation experiments verify the effectiveness of the algorithm, and the results show that students' academic performance and satisfaction are improved.