Educational data mining - a case study

Saurabh Manek, Saurav Vijay and Deepali Kamthania

International Journal of Information and Decision Sciences, 2016, vol. 8, issue 2, 187-201

Abstract: Educational data mining (EDM) is an emerging interdisciplinary research area that deals with the development of methods to explore data originating in an educational context. EDM uses computational approaches to analyse educational data. In this paper, an attempt has been made to propose a system that constitutes an integrated platform for thorough analysis of student's nine years data. The ETL process (extraction, cleaning, transforming and loading) have been performed with the help customised scripted tool. The tool also helps in finding new relations and generating reports for trend analysis. This analysis can help in planning strategies to improve student's performance of the new batches joining the institute. Further data mining technique J48 algorithm has been applied on nine years data to find patterns by using WEKA.

Keywords: educational data mining; EDM; extraction; cleaning; transforming; loading; classification; decision trees; student performance; data mining; higher education. (search for similar items in EconPapers)
Date: 2016
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