Design and Application of Intelligent Teaching System Based on Artificial Intelligence Technology

In order to improve teaching efficiency and achieve networked and intelligent education. The author first designed an intelligent teaching system based on artificial intelligence technology. On the basis of optimizing the system software structure, guided by the user group's demand for the teaching system, the author used artificial intelligence technologies such as machine learning algorithms, big data science, and image language intelligent recognition to design corresponding business function modules such as login module, data collection and processing module, and teaching service module. Secondly, the intelligent teaching system was tested. During the test, the teaching data acquisition speed of different stages of data nodes was around 2 seconds, and the system obtained teaching information faster. The system data processing module can accurately extract redundant teaching data. The highest accuracy rate of teaching data collection is 99.18%, which can accurately collect teaching data and provide the required content for different user groups. The maximum monitoring rate of the system for user teaching behavior is 99.68%, and the supervision of user behavior is strong. The experimental test results indicate that the running speed of each module of the system is fast, and the system has strong applicability and stability, which is suitable for teachers to carry out daily teaching activities. This system has the advantages of being contemporary and scientific, which helps to promote the development of teaching towards intelligence and efficiency.