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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 9, SEPTEMBER 2017

Survey of Educational Data Mining

P. Padmapriya, Dr. Antony Selvadoss Thanamani

DOI: 10.17148/IJARCCE.2017.6923

Abstract: Educational data mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. Applying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining. It is concerned with developing methods for exploring the unique types of data that come from educational environments. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. A literature review on educational data mining topics such as student retention and attrition, personal recommender systems within education, and how data mining can be used to analyze course management system data.



Keywords: data mining, educational data mining, academic analytics, learning analytics.

How to Cite:

[1] P. Padmapriya, Dr. Antony Selvadoss Thanamani, “Survey of Educational Data Mining,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6923