本研究主要目的在於研究我國高職電訊科之專業科目—基礎理論課程和實習課程間的關連性,希望所得結果不但可作為教師授課時的強調的重點,亦可作為高職電訊科專業課程發展或調整的參考資訊。利用改良式累積機率法做數值資料的離散化,將數字資料轉換成語意資料,再利用關連法則以學生成績資料庫作為資料探勘的對象,藉以確認科目中的關連法則,期望找出相互具有影響之科目,作為提高現今高職學生學習成效的參考依據。 研究對象以某校電訊科高職生專業科目成績為資料樣本,共七個班級,學生數350位,以教育部頒訂的課程綱要基礎,萃取專業必修課程:基本電學、基本電學實習、電子學、電子學實習、數位邏輯、數位邏輯實習等六科學習成績為分析依據,利用Weka 開放式資料探勘軟體所提供的Apriori 演算法對學生成績資料探勘得到最終的關連法則,進行資料分析和詮釋。
The purpose of this research is to study the relationships among the professional courses of basic theory and laboratories of electric communication classes in a vocational high school in Taiwan. The results of this study may be used as not only the key points that can be emphasized in the class but also the references for developing or adjusting the electric communication courses in the vocational high school. By using a revised Cumulative Probability Distribution Approach (CPDA), the research is to convert the discrete data into the semantic data, to find associated rules by mining the database of students’ grades, to validate the associated rules among the courses, to find the achievement relationship among the theory and laboratories, and lastly used as the references for elevating the achievement of electric communication classes in today’s vocational high school. The study includes a database of 350 students’ grades belonging to seven (7) classes of electric communication classes in a vocational high school. The sampled data are focused on six (6) courses such as Basic Electricity, Basic Electricity Practice, Electronics, Electronics Laboratory, Digital Logic, and Digital Logic Laboratory that courses outlines were published by Ministry of Education.
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