INTRODUCTION OF EDUCATIONAL DATA MINING BY USING A VARIETY OF TECHNIQUES IN ORDER TO ACHIEVE THE GOAL FROM THE MOODLE LMS

Different works relating to this specialty have been done in recent years and several data extraction approaches used solve numerous educational problems. This analysis compares the Felder-Silverman Learning Style Model component of student activity Moddle class with three mining algorithms for identification knowledge presentation dimension (visual/verbal) learning style. study analyzes Moodle LMS log using strategies identify their styles that rely on one aspect style Feld-Silverman: visual/verbal. The WEKA various classification as classified J48 Decision Tree, Naive Bayes Portion. selected classifiers were evaluated a 10-fold cross validation. tests revealed at 71.18 percent Bays achieve strongest score.
 
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