高校贫困学生辅助评价的研究

高校对贫困学生的认定存在认定成本高、可信度不强以及标准不一致等问题.本文通过分析高校一卡通的消费行为，刻画贫困学生的消费特征，应用马尔科夫模型对贫困学生消费行为进行建模，并提出了相似指标的概念和计算方法.通过对学生消费行为与贫困学生消费行为模型进行相似指标计算，对贫困学生进行认定.该方法具有计算效率高，速度快，计算成本低廉以及数据获取容易，在同一所学校中评价标准一致，对贫困学生的平均识别率达到90%以上等特点，可以作为高校在复评贫困学生的一个有力的辅助工具.

Research on Assistant Identification of Poor Students in Colleges

There are some problems in the identification of poor students in colleges and universities, such as high cost, the lack of credibility and the inconsistency of standards. Through anglicizing the consumption behavior of campus one card solution, we can depict the consumption characterization of poor students. And then we build Markov model for consumption behavior of poor students, and put forward the concept and calculation method of line index. Based on calculating the similarity index for both the consumer behavior of student model and the consumption behavior of poor student model, we can identify the poor students. This method has the characteristics of high computational efficiency, fast speed, low cost and easy data acquisition, which has consistent evaluation criteria in the same school. And the average recognition rate for poor students is than 90%. It can be used as a powerful auxiliary tool for the identification of poor students in colleges and universities.