Research on early warning of abnormal learning behavior based on educational big data mining

With the accelerating process of digitization and informatization in the field of education, the application of data mining technology in the field of education has received more and more attention. This paper proposes a monitoring and early warning scheme for abnormal behavior of course learning based on data mining technology, including the collection, cleaning, and analysis of students' learning behavior data, as well as the establishment of early warning models and the implementation of early warning strategies. At the same time, this paper also discusses the organic combination of online and offline teaching, as well as the reflection on the practice of curriculum teaching. By combining online and offline resources, it designs diversified learning tasks and evaluation methods to promote students' participation and independent learning and improve the effectiveness of curriculum teaching and students' enthusiasm for learning.