Artificial Intelligence-based Learning Behavior Data Mining and Network Teaching Quality Monitoring Mechanism

Abstract

The integration of artificial intelligence technology and school education has become a future trend, which represents that students receiving education in the current society have to develop to a higher level supported by “intelligent education”. The popularity of network education also means that higher education has a higher demand for “artificial intelligence education”. The purpose of this paper is to verify the feasibility of these methods by data mining and evaluation of students’ learning behaviors through different methods in artificial intelligence, aiming at the new situation and new problems of students’ learning behaviors in modern education and teaching environment. This paper takes the students of school A as the research objects, starts from the perspective of learners and takes the online learning behavior of learners as the starting point, analyzes the effectiveness of online learning from multiple perspectives, and analyzes the quality monitoring mechanism of online teaching in this university by combining artificial intelligence technology, and puts forward targeted Suggestions.