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What is Management Objectives

Advancing the Power of Learning Analytics and Big Data in Education
It can be of great use when it comes to the maintenance of educational infrastructure, which is a chief administrative oriented objective and involves the direct participation of higher authorities and senior management.
Published in Chapter:
Educational Data Mining Techniques and Applications
M. Govindarajan (Annamalai University, India)
DOI: 10.4018/978-1-7998-7103-3.ch011
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.
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