基于豆豆云平台的教育数据挖掘

With the rapid development of online learning platforms, Educational Data Mining (EDM) has gradually become an important means to improve students \'learning effects. Based on the research of Doudou cloud platform, this paper analyzes students \'learning behavior and performance in the personalized learning path recommendation system. Through the in-depth mining of a large number of learning data accumulated on the platform, a personalized learning path is constructed, aiming to improve the learning efficiency and effectiveness. Firstly, the background and importance of educational data were discussed, and then the data set was described and preprocessed in detail, and the appropriate features were selected and a classification model based on random forest was constructed. On this basis, the research also implements a dynamic recommendation mechanism, which combines the learning characteristics of different groups to provide tailored learning suggestions for students. The final results show that the system effectively improves students \'learning motivation and learning performance, and proves the broad application potential of educational data mining technology in personalized learning.