The accuracy of test data is important for education quality assurance. However, there is a problem due to the possibility of incorrect data filled by test taker during paper-based test. On the contrary, this problem is not found in computer-based test. A method was proposed in this study to analyze the accuracy of answer sheet filling out in paper-based test using data mining technique. A layer of data comprehension was added in the method instead of using raw data. The results of the study were a web-based program for data pre-processing and decision tree models. Among 374 instances which were analyzed, the accuracy of answer sheet filling out attained 95.19% and the accuracy of classification was 100%. This study could motivate the administrators for improvement of the test system since it preferred computer-based test to paper-based.

27/11/2018

978-602-53524-0-9

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