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Edifice an Educational Framework using Educational Data Mining and Visual Analytics
Author(s) -
S. Anupama Kumar
Publication year - 2016
Publication title -
international journal of education and management engineering
Language(s) - English
Resource type - Journals
eISSN - 2305-8463
pISSN - 2305-3623
DOI - 10.5815/ijeme.2016.02.03
Subject(s) - computer science , association rule learning , data science , educational data mining , analytics , visual analytics , data mining , decision tree , set (abstract data type) , cultural analytics , data analysis , learning analytics , outcome (game theory) , visualization , world wide web , the internet , semantic analytics , mathematical economics , mathematics , web modeling , programming language
Educational Data Mining and Visual analytics are two emerging trends in the industry that plays a major role in bringing out changes in the educational institutions. This paper discusses about building an educational framework that suits the higher education in India using the above mentioned technologies. Educational data mining comprises of various technologies and tasks which can applied on educational data to bring out useful information. In this research work, a data ware house is built to store the student data, two data mining tasks classification and association rule mining are applied over the student data set to analyse their performance in the examination. Decision tree algorithm is used to predict the course and program outcome. Association mining is used to analyze the outcome and understand technical capability of the students. The algorithms were found very accurate in predicting and analyzing the performance. Visual analytics is used in the framework to depict the analysis of the student’s performance.

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