應用決策樹演算法評估升學資訊對高中適性入學影響效果

Impact of Entering School Information on Adaptive School Entering Using Decision Tree Algorithm

本研究主要應用決策樹CART（Classification and Regression Trees）分類演算法，了解升學資訊與適性入學兩者的關係為何，並區辨不同學校類型學生升學資訊與適性入學關係之選擇模型，藉以探究影響高中適性入學效果的關鍵資訊。研究結果發現：一、影響適性入學成效不在於資訊多寡，而是在於能否獲得適當的資訊輔助；二、「國中學校老師的講解或說明」為影響適性入學成效的最佳升學資訊；三、公部門所提供的升學資訊，對於適性入學影響效果優於非官方資訊；四、升學資訊會因學校類型不同，產生適性入學效果上的差異。

The main purpose of this study is to apply the classification and regression trees to understand the relationship between school entering information and adaptive school entering. Different school type, school entering information and model chosen for adaptive school entering was manipulated to investigate the key information of entering high school. The results show that: (1) The amount of information is not the key point impacting adaptive school entering, the key point is whether appropriate assistance was provided. (2) Explanation from junior high school teachers was the most effective approach impacting adaptive school entering. (3) Information provided by the public department is better than the non-public. (4) Different sources have different impact on adaptive school entering for senior high school students.