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In the distance learning environment, students mainly study in their own pace and in their spare time. This has been a challenge for online institutions to supervise students'online learning and evaluate learning outcomes. So far there is little research have been conducted on the quality of distant learning. One effective way to improve learning outcomes is through scientific and efficient assessment to identifying problems, so that suitable strategies could be development. This paper uses a typical distance education system as the operating environment and introduces the data mining technology into the process of evaluation on distance learning. Text Mining and Usage Mining technology are uesed to to carry out excavation, analysis and contrast evaluation Rubric on students' learning processes and learning performances to achieve the aims of improving the efficiency of learning evaluation.