Educational Data Mining & Students' Performance Prediction

被引：2

作者：

Abu Saa, Amjad ^{[1
]}

机构：

[1] Ajman Univ Sci & Technol, Dept Informat Technol, Ajman, U Arab Emirates

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2016年 / 7卷 / 05期

关键词：

Data Mining; Education; Students; Performance; Patterns;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

It is important to study and analyse educational data especially students' performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. This study is equally concerned with this subject, specifically, the students' performance. This study explores multiple factors theoretically assumed to affect students' performance in higher education, and finds a qualitative model which best classifies and predicts the students' performance based on related personal and social factors.

引用

页码：212 / 220

页数：9