Data Mining-Based Analysis on Relationship Between Academic Achievement and Learning Methods During Vacation

In this paper, we systematically analyze the effect of learning methods and living style of students during vacation on academic achievement using data mining techniques. To achieve this goal, we first identify various items of learning methods and living style which can affect academic achievement. Students are surveyed over these items through an Internet online site and the data collected from students are stored into databases. Then, we present data filtering methods of these collected data to adopt data mining techniques. We also propose the methods of generating decision trees and association rules from the collected data of students. Finally, we apply the proposed methods to middle school students in a city of Korea, and we analyze the effect of learning methods during vacation on their academic achievement.