Abstract: With the rapid developments and extensive application, information technology brings new ideas and opportunity for education. The combination of education management and data mining draws more and more attention in the education field. At present, there is little research on the quantitative analysis of the orderliness of student activities. To grasp these opportunities, this paper introduces campus active entropy by using the Smartcard Consumption Records(SCR). A spatial-temporal weighted active entropy algorithm is proposed to quantize the orderliness of 13575 undergraduates with 7.9 million SCR in one year. Based on the active entropy, the students are clustered into group and analyzed. Meanwhile, Apriori algorithm is adopted to  analyze the correlation of campus behavior and academic performance. The association rules found out are consistent with existing psychology research. The evaluation results show the effectiveness of this approach in the field of student’s orderliness measure, and active entropy is helpful for evaluating students and providing guidance on smart campus management.

Key words: smartcard consumption records； active entropy； students&rsquo, orderliness； association rules； evaluating students