Applying Data Mining to Investigate the Influence of the Background on the Academic Performance of Elementary School Children

• Main Authors: Tai-Fang Han, 韓岱芳
• Other Authors: Hung-Pin Chiu
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/59010841902243207395

碩士 === 南華大學 === 資訊管理學系 === 102 === 　　The aim of this study is to explore the correlation between elementary school student’s background and their academic achievement. Use association rule technique in data mining to analyze the data. The result is for reference and assisting students to make the planning of study. 　　The researcher employed grades four, five, six students composed of 113 people 102 Academic Year at an elementary school located in Yunlin County. The data was retrieved from findings of student’s background and the Student Affairs Management System. The research methods used the association rule of Microsoft SQL Server 2012 to proceed with the data analysis process. 　　The study shows that students of good achievements have the following characteristics. It is more than 1 hours on average every day that they study .It is less than 1 hours on average every day that they use computer. It is more than 3 days on average every week that they study voluntarily and regularly. When having difficulties in studying, they often ask for help. It is more than 2 subjects that they participate in extra-curricular tutoring. It is more than 3 subjects that they study seriously.