本研究以資料採礦之Apriori演算法探討多種影響因素與技職教育學習成效之關聯性。探討對象為北臺灣某學院五專部91、92及93學年度採推荐甄試或登記分發入學之學生，研究中以學生一年級英文、數學、會計學及計算機概論課程之學年平均成績衡量學習成效之優劣，所探討之影響因素包含學生性別、入學方式及國中學區。分析結果發現（1）性別：男女生的學習成效有明顯差距，女生在各課程的學習成效都優於男生；（2）入學方式：不同入學方式的學生其學習成效確實存在差異，以登記分發入學者表現較優；（3）城鄉差距：專科課程的學習成效仍存在於城鄉差距，來自人口密集區學生之基礎課程學習成效較佳，都會區學生的會計學較差。研究結果可供學校參考以制定招生策略，並讓任課教師瞭解學生特質之差異與課業的關聯性，以衡量如何給學生適當的課業輔導。

This study uses Apriori algorithm in data mining to investigate the correlation between the learning efficiency and other significant influencing factors in vocational education. Research samples were taken from a particular vocational school in northern Taiwan from 2002 to 2004 which enrolled either through recommendation or through entrance examination. In this study, the students' first year grade in English, Math., Accounting, and Basic Computer Concept were used as the evaluation criteria for their learning efficiency. Besides, influencing factors that regard to gender, the mode of enrollment, and the regional location of their graduating middle school were investigated. Research results shown that 1) Gender: Significant difference was found in the learning efficiency between male and female. Female students perform significantly better than male students. 2) Mode of enrollment: There is significant difference in the learning efficiency of students enrolled under different mode. Which means the entrance examination perform better significantly. 3) Rural-urban difference: Significant rural-urban difference exists in the learning efficiency in vocation education. Students from urban area perform better in basic courses, yet worse in Accounting. The results from this study can be used as reference for vocational schools in formulating their recruiting strategy, and also allow teachers understanding the correction between student characteristics and their academic performance, even thereby provide appropriate assistance when needed.