Educational Data Mining and its Role in Determining Factors Affecting Students Academic Performance: A Systematic Review

被引：0

作者：

Khanna, Leena ^{[1
]}

Singh, Shailendra Narayan ^{[1
]}

Alam, Mansaf ^{[1
]}

机构：

[1] Amity Univ, ASET, Noida, Uttar Pradesh, India

来源：

2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP) | 2016年

关键词：

Educational Data Mining; Academic Performance; Big data; Teaching-learning Process;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Education helps people develop as individuals. It not only helps build social skills but also enhances the problem solving and decision making skills of individuals. With the growing number of schools, colleges and universities around the globe, education now has taken new dimension. The main focus of higher Educational Institutes is to improve the overall quality and effectiveness of education. Predicting the performance of student and Predicting the Future in this world of Big Data is the need of Today in Education. The crude data from educational organizations act as a gold mine which facilitate the analysts and designers to make a system that will improve the overall teaching and learning process. This new field coined as Educational Data mining helps in Predicting the Future and Changing the Future. In this paper we have studied what is Educational Data Mining and what are the Application areas of EDM, various techniques of EDM and the factors affecting the students' Academic Performance and the Teaching-Learning process.

引用

页数：7

共 24 条

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