決策樹於國小教師工作滿意度之研究

本篇論文旨在探討臺中市國民小學教師，在不同個人背景變項下對於其工作滿意度的關係，據以提供教師有效提升與改善工作效率之參考。首先採取問卷調查法進行抽樣，抽樣範圍以「臺中市」之現職國小教師309 人為對象，回收有效問卷共275份。「國民小學教師工作滿意度調查問卷」中包含八項個人背景變項設定為屬性，以及三個工作滿意度感受程度設定為類別，運用資料探勘技術中的決策樹 演算法軟體See5做為資料分析工具，深入瞭解不同背景變項之國民小學教師對於工作滿意度之差異情形。使用決策樹進行資料探勘後，得到6條和教育政策滿意度相關之規則，發現若年齡41歲以上，或年齡40歲以下及最高學歷大學以下等，教育政策滿意度偏向於低滿意族群。

The purpose of this paper is to investigate the job satisfaction of elementary school teachers who have different personal background in Taichung City. The research results can provide the elementary school teachers to effectively upgrade and improve their job efficiency. At first, this work adopts questionnaire study for 309 sampling teachers who are currently serving at elementary schools in Taichung City. There are275 valid questionnaires returned. The questionnaire job satisfaction of elementary school teachers includes personal background information and job satisfaction scale. The important personal background information has eight attributes and the job satisfaction has three classes. The decision tree in the data mining technique is used to analyze the job satisfaction of elementary school teachers. After applying the See5 software, we obtained 6 relevant rules concerning the education policy. We found that a teacher who is more than 41 years old, or a teacher who is less than 40 years old and with undergraduate degree, the satisfaction of education policy tends to be low.