全文連結:
英文標題:
DEVELOPMENT AND APPLICATION OF DATABASES FOR INSTITUTIONAL RESEARCH AND ANALYSIS
期刊卷期:
文章單元:
中文摘要:
本文根據教育科學、圖書館學、資訊工程等領域的知識，結合多年來處理校內外資料庫的實務經驗，以及對近年技術產品的瞭解，闡述校務研究資料庫建置的較佳實施概念，並分析比較各種建置方案的適用時機與優缺點，最後以三項代表性的具體實例說明本文提及之實施概念的綜效。具體而言，本文介紹採、編、典、藏、用五項可持久運作的資料庫建構作業流程與注意事項，說明資料正規化與反正規化的用處，透過概念驗證作業提供與國內廠商互動的經驗，並以實際校務數據的分析案例，分享應用經驗。整體而言，資料蒐整作業（即：採、編、典、藏）仍是最費時、費力的流程，一旦完成，後續的分析運用便容易進行。目前的視覺化分析工具將越來越便利，讓各類型使用者得以更有效率的從大量資料中發現特殊樣態、形成假說，進而對資料做各種查詢與探索，以獲得具體事證支持決策。展望未來，除了視覺化工具越受依賴外，事件演進模擬技術，也將扮演重要角色，其可讓使用者事先知道各種因素變化後的最終結果，讓分析平台更具價值。
英文摘要:
This article elaborates on the possible best practice of developingdatabases for institutional research and analysis, based on the knowledge ofEducational Science, Library Science, and Information Engineering, years ofexperience in developing educational databases, and a recent survey of relatedtechnology and products. Several developing options are compared to showtheir benefits and disadvantages under different conditions. Threerepresentative analysis tasks are reported to verify and show the synergy ofthe mentioned ideas and experience.In particular, this article proposes a sustainable workflow: (1) datacollection and aggregation, (2) cataloguing, (3) regulation, (4) archiving, and(5) usage, and describes their must-known caveats. The application situationsof data normalization and de-normalization are described. Capability ofdomestic vendors of related products is briefly mentioned based on a proof-ofconcepttesting. And finally, real-world institutional analyses are conducted toshare our experience.Overall, the first four processes in the above workflow are most timeconsumingand costly. Once data have been well prepared, recentvisualization analysis tools allow users to easily discover meaningful patternsand inspire hypotheses, and allow them to explore the database to findevidence to support their hypotheses and decisions. In the future, we expectthat event evolution simulation techniques, which allow users to foresee theresults given various input scenarios, could play an important role ineducational data analysis, in addition to the maturing data visualization tools.
作者:
作者介紹:
國立臺灣師範大學研究員
APA格式:
曾元顯(2016)。校務研究資料庫的建構與分析應用。當代教育研究季刊，24(1)，107-134。
全文:
