教育部大學校院課程資源網支援課程發展模式之建構－傳播學門系所為實證

A Study on a Supporting Model for Curriculum Development Using Data Warehouse Technology

徐明珠(Ming-Ju Hsu)

《中華印刷科技年報》 2012 (2012/06) Pp. 561-587

https://doi.org/10.30153/JCAGST.201206.0041

摘要

本研究運用文本分析及專家問卷調查法、決策支援技術法（Decision-Support Technique），以課程文獻理論形塑課程發展之主軸，再透過資料倉儲及資料採礦（Data Mining）在教育領域上的應用探討、資料倉儲支援課程決策探討，形成「課程資料倉儲知識發現多步驟的過程」。再運用「教育部大學校院課程資源網（University Courses Data Warehouse, UCDW）」、資料倉儲和資料採礦等決策支援技術，建立「資料倉儲支援課程決策模式研究」之架構，據以作為資料倉儲支援課程決策研究實證之依循；並採用全國大學傳播學門之新聞系課程為個案，依照前述模式架構，進行「課程資料倉儲」以及資料採礦支援課程決策分析實證。結合資料採礦技術進行課程知識發現之相互驗證及解釋，證明所提之「資料倉儲支援課程決策研究」模式可行，可據以建立「課程資料倉儲知識發現」（curriculum knowledge discovery in data warehouse, CKDD）步驟和方式，作為課程發展時決策之參考。

關鍵字

教育部大學校院課程資源網 ； 資料倉儲 ； 資料採礦 ； 課程發展

並列摘要

The main axis of the research study was based on the literature theory of the curriculum, combined with curriculum policies and regulations, professional opinions and expert knowledge to form the three curriculum development factors in the curriculum decision-support model, which are curriculum situation analysis, curriculum organization and curriculum decision-making. Data Warehouse and Data Mining techniques were carried out to explore the University Curriculum Data Warehouse (UCDW) established by the Ministry of Education to verify the validity of the model for Knowledge Discovery in Database (KDD). As the model was refined and its feasibility verified, it can become a viable method to be used for Curriculum Knowledge Discovery in Data Warehouse (CKDD) and significantly improve the curriculum development and decision-making processes. This research study was comprehensive in essence: literature analysis and decision support technology were firstly carried out, Data Warehouse and Data Mining techniques were then applied to extract the data from UCDW, the data were further analyzed both quantitatively and qualitatively to verify and calibrate the research findings. It combined a multiple number of research methods with various statistical tools to analyze the numerous data obtained from different angles, therefore, this study possessed characteristics of a hybrid research approach. The primary objective of this supporting model for curriculum development was to utilize the studied results from literature analysis as the basis in establishing a framework for curriculum development and decision-making, which was further verified by Data Warehouse and Data Mining techniques. Moreover, this framework was then applied to a CKDD case study on all the Journalism department's curriculums in all the universities in Taiwan, to study the viability of the model in support of curriculum development using Data Warehouse technologies. Decision Tree and Association Rule were used to examine the curriculum subjects and variables to determine the structure and relationship among the curriculums. The principles of decision-making were then established based on the established rules. More importantly, the rules retrieved from the decision-support model were more accurate and efficient than those from traditional method of curriculum development. This finding significantly proved the feasibility of this model in support of curriculum development and decision-making using Data Warehouse technology.

並列關鍵字

Curriculum Development ； Data Mining ； Data Warehouse ； University Curriculum Data Warehouse