Monitoring Evaluation of Teaching Process Based on Grey Cluster and Association Rules

In order to meet the objective requirement of the monitoring evaluation of teaching process, a teaching process evaluation method based on grey cluster and association rules is proposed, and the efficiency of operation is improved by the distributed deployment of the method. The results show that the distributed analysis methods based on grey cluster and data mining association rule can reasonably evaluate the students’ learning behavior and teachers’ teaching process. Compared with the single analysis method, the proposed two kinds of evaluation methods can deal with a large number of data better, and can evaluate the quality of the teaching process more comprehensively.