Relationship Analysis on Academic Achievement and Learning Methods during Vacation: A Data Mining Approach

摘要

Students are educated in various ways such as private tutoring, academic institute lessons, educational broadcasting, and Internet learning sites as well as regular school lessons to promote their academic achievement. These learning methods can affect differently academic achievement over student groups. In this paper, we 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. We then 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 student data. 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. We believe that the analysis results presented in this paper would be helpful in establishing the guideline of living style and the studying plans for students during vacation.