A Study of Distance Learning Pattern Analysis and Evaluation Based on Data Mining

In order to improve the efficiency of distance learning evaluation, this paper proposes Chinese word segmentation method to process electronic text documents recorded students' information in distance learning, from which students' information can be extracted knowledgably by text mining technology and thus can be compared with their study goal using association analysis. Through record mining method, mode analysis and evaluation on the studentspsila learning behaviors can be done. Moreover, on the basis of evaluation data, study feedbacks can be provided and the evaluation results of students' learning can be obtained under the guidance of the index system and evaluation standard of evaluation rubric.