Recognition of Slow Learners Using Classification Data Mining Techniques

Educational Data Mining is used to predict the future learning behavior of the student. It is still a research topic for the researcher who wants do better result from the prediction of the student. The results of all these techniques help the teachers, management, and administrator to draft new rules and policy for the improvement of the educational standards and hence overall results and student retention. Taking this point in mind work has been done to find the slow learner in a High School class and then provide timely help to them for improving their overall result. There are lots of techniques of data mining are available for use but we are selecting only those techniques which are mostly used by different research for their result prediction like J48, REPTree, Naive Bayes, SMO, Multilayer Perceptron. On the collected dataset Multilayer Perception classification algorithm gives 87.43% accuracy when using whole dataset as training dataset and SMO and J48 gives 69.00% accuracy when using 10-fold cross validation algorithm.

[1]  Rashmi.  Data Mining: A Knowledge Discovery Approach , 2012 .

[2]  R. Bhaskaran,et al.  A CHAID Based Performance Prediction Model in Educational Data Mining , 2010, ArXiv.

[3]  V. Ramesh,et al.  Predicting Student Performance: A Statistical and Data Mining Approach , 2013 .

[4]  Sholom M. Weiss,et al.  Predictive data mining - a practical guide , 1997 .

[5]  Gregory Piatetsky-Shapiro,et al.  Knowledge Discovery in Databases: An Overview , 1992, AI Mag..

[6]  Zlatko J. Kovacic,et al.  Early Prediction of Student Success: Mining Students Enrolment Data , 2010 .

[7]  J Hardin,et al.  Data Mining Applications in Higher Education , 2007 .

[8]  Manoj Bala,et al.  STUDY OF APPLICATIONS OF DATA MINING TECHNIQUES IN EDUCATION , 2012 .

[9]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[10]  Saurabh Pal,et al.  Mining Educational Data to Analyze Students' Performance , 2012, ArXiv.

[11]  Lisa Gjedde,et al.  Research, Reflections and Innovations in Integrating ICT in Education Examining online learning processes based on log files analysis: A case , 2022 .

[12]  Sebastián Ventura,et al.  Data mining in education , 2013, WIREs Data Mining Knowl. Discov..

[13]  Lars Schmidt-Thieme,et al.  Improving Academic Performance Prediction by Dealing with Class Imbalance , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

[14]  Paulo Cortez,et al.  Using data mining to predict secondary school student performance , 2008 .