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In the distance education environment, students and amateur decentralized learning-based learning, learning process it is difficult to monitor, study the effect of inconvenience to the diagnosis, therefore, the prevalence of distance learning quality assessment problems. In order to improve the efficiency of evaluation of distance learning the 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 students' learning behaviors can be done. Evaluation data as a basis for learning feedback, Reference to the rules of evaluation index system and evaluation criteria to draw on the results of the evaluation of student learning, in order to achieve the purpose of study and evaluation of efficiency.