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Learners’ Evaluation Based on Data Mining in a Web Based Learning Environment

Author:İdris GÖKSU, Bünyamin ATICI

DOI: 10.18009/jcer.03016

April 30th, 2015 by Author

Abstract

This study has been done in order to determine the efficiency level in the extend of learners’ evaluation by means of comparing the Web Based Learning (WBL) with traditional face to face learning. In this respect, the effect of WBL and traditional environment has been analyzed in the class of Visual Programming I, and the learners have been evaluated with the rule based data mining method in a WBL environment. The study has been conducted according to experimental design with pre-test and post-test groups. Experimental group has attended the class in WBL environment, and the control group in a traditional class environment. In accordance with the pre-test and post-test scores of experimental and control groups, both methods have been proved to be effective. According the average scores of post-test, the learners in experimental groups have been more successful than the ones in the control group. The guiding of WBL system prepared for the study has been found to be significant in terms of both underlining the points in which the learners are unsuccessful in a short time and having trust in the system technically.

Keywords: web based training, web based learning, data mining

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