Research on Teaching Methods of Teachers’ Ideological Education Based on Large Data

The ideal form of modern education is one that is personalized toward the receiving student’s aptitude, as derived from a large body of data. The most typical feature of large data is the complexity of data and the huge amount of data space. This paper analyses the data mining technology used to help optimize and execute the use of personalized education online to obtain useful information as well as gather data from real life situations. Based on the research of data set segmentation, the optimization of the key value for simplification is used to improve the efficiency of parallel computing. This paper analyses the characteristics of large data sets derived from digital personalized education, and data set processing for information obtained from user course frequency data, to improve the accuracy of mining association rules.