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Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective
Joint Authors
Yang, Huamin
Ma, Yong
Zhang, Xingxu
Di, Xiaoqiang
Ren, Tao
Cai, Binbin
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-28
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The identification of students with financial difficulties is one of the main problems in campus data research.
Effective and timely identification not only provides convenience to campus administrators but also helps students who are really in financial hardship.
The popular using of smart cards makes it possible to identify students with financial difficulties through big data.
In this paper, we collect behavioural records from undergraduate students’ smart cards and propose five features by which to associate with students’ poverty level.
Based on these features, we proposed the Apriori Balanced Algorithm (ABA) to mine the relationship of poverty level with students’ daily behaviour.
Association rules show that students’ poverty level is most closely related to their academic performance, followed by consumption level, diligence level, and life regularity.
Finally, we adopted the semisupervised K-means algorithm to more accurately find out students with financial difficulties.
Tested by classical classification algorithms, our method has a higher identification rate, which is helpful for university administrators discover students in real financial hardship effectively.
American Psychological Association (APA)
Ma, Yong& Zhang, Xingxu& Di, Xiaoqiang& Ren, Tao& Yang, Huamin& Cai, Binbin. 2020. Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1152865
Modern Language Association (MLA)
Ma, Yong…[et al.]. Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1152865
American Medical Association (AMA)
Ma, Yong& Zhang, Xingxu& Di, Xiaoqiang& Ren, Tao& Yang, Huamin& Cai, Binbin. Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1152865
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152865