International Journal of Education and Management Engineering(IJEME)
ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)
Published By: MECS Press
IJEME Vol.6, No.2, Mar. 2016
Edifice an Educational Framework using Educational Data Mining and Visual Analytics
Full Text (PDF, 525KB), PP.24-30
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.
Cite This Paper
S Anupama Kumar,"Edifice an Educational Framework using Educational Data Mining and Visual Analytics", International Journal of Education and Management Engineering(IJEME), Vol.6, No.2, pp.24-30, 2016.DOI: 10.5815/ijeme.2016.02.03
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