[[alternative]]A Study of Applying Data Mining on the Influence of Junior High School Student's Background on Student's School Grades

[[abstract]] 本研究旨在探討國中學生的個人學習背景因素與在校成績之相關性。使用資料採礦之關聯規則找出國中一、二年級學生之段考成績與個人學習背景因素之關係，以供教師、學生、家長參考。並提供學生課後學習活動及時間安排上的建議，以協助其做好適當地學習規劃。 首先將學生原始成績與影響學生成績的個人學習背景因素之調查結果做篩選處理並排除異常資料，留下供資料採礦用的資料。並將影響學生成績與個人學習背景因素作適當地預處理。 研究方法採用Microsoft SQL Server 2005 資料採礦之關聯法則，以所設定的最小信心水準(Confidence)、最低重要性(Importance)及最小支援數(Support)進行關聯規則之篩選。 成績好的學生有以下規則：學習時間每日平均為2個小時以上；休閒時間(使用電腦類) 每日平均在30分鐘以內；平均一週有4天以上會主動學習；平均一週有4天以上作息是有規律；在學習遇到困難時，勇於發問與虛心求教的平均機率需高於五成；參加補習家教的科目數為3科以上。[[abstract]] The aim of this study is to explore the correlation between junior high school student's background and their school grades. 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. Get rid of the unusual data and then precondition appropriately of them. Using association rule of Microsoft SQL Server 2005 sets ＂minimum confidence＂, ＂minimum importance＂ and ＂minimum support＂ to derives the rules from the data. The study shows that students of good grades have the following characteristics. It is more than 2 hours on average every day that they study . It is less than 30 minutes on average every day that they use computer. It is more than 4 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 3 subjects that they participate in extra-curricular tutoring