Educational Data Mining

Abstract

The education-training process and all activities related to it have the power to direct the future of societies. From this point of view, the process should be analyzed frequently in terms of input, output, and other process elements. Educational data mining is a multidisciplinary research area that develops methods and techniques for discovering data derived from various information systems used in education. It contributes to the understanding of the learning styles of learners and enables data-driven decision making to develop existing learning practices and learning materials. The number of academic and technical research on educational data mining is on the rise, and this has led to the need to systematically categorize the existing practices. This systematic mapping study was conducted to provide an overview of the current work on educational data mining and its results are based on 153 primary sources including journal papers, articles published in magazines, conference and symposium papers, theses, and others.

Prediction of Student’s Academic Performance through Data Mining Approach

“…A large amount of student data can be assessed and measured in many ways for research objectives. EDM is an emerging discipline used in the educational environment to deal with big student academic data and extract useful information through data mining techniques [1,2]. Another term is learning analytics which is closely related to educational data mining.…”