Educational Data Mining Techniques and Applications

Author:

Govindarajan M.1

Affiliation:

1. Annamalai University, India

Abstract

Educational data mining (EDM) creates high impact in the field of academic domain. EDM is concerned with developing new methods to discover knowledge from educational and academic database and can be used for decision making in educational and academic systems. EDM is useful in many different areas including identifying at risk students, identifying priority learning needs for different groups of students, increasing graduation rates, effectively assessing institutional performance, maximizing campus resources, and optimizing subject curriculum renewal. This chapter discusses educational data mining, its applications, and techniques that have to be adopted in order to successfully employ educational data mining and learning analytics for improving teaching and learning. The techniques and applications discussed in this chapter will provide a clear-cut idea to the educational data mining researchers to carry out their work in this field.

Publisher

IGI Global

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analyzing Social Media Sentiment: Twitter as a Case Study;ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal;2023-06-05

2. Handling Big Data in Education: A Review of Educational Data Mining Techniques for Specific Educational Problems;AI, Computer Science and Robotics Technology;2023-04-24

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