Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective
المؤلفون المشاركون
Yang, Huamin
Ma, Yong
Zhang, Xingxu
Di, Xiaoqiang
Ren, Tao
Cai, Binbin
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-28
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1152865
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر