文章基本信息

标题：Predicting Students’ Academic Performance: A Review for the Attribute Used
本地全文：下载
作者：Ismail Yusuf Panessai ; Muhammad Modi Lakulu ; Mohd Hishamuddin Abdul Rahman 等
期刊名称：International Journal of Academic Research in Business and Social Sciences
电子版ISSN：2222-6990
出版年度：2021
卷号：11
期号：4
页码：595-603
DOI：10.6007/IJARBSS/v11-i4/9706
语种：English
出版社：Human Resource Management Academic Research Society
摘要：This article is a review on attributes, models and tools used to solve the problem of predicting students' academic performance. Based on the reference throughout 2009, the attributes used include demographic, academic grades, school related and social attributes. The academic score attributes are the results of the percipient along their studies, while the school-related attributes are result for few subject taken in high school. Demographic and social attributes are family background and the daily interactions of respondents. These tools are supporting a lot of rule mining algorithms like clustering, classification and association, to use on datasets of different types.