國立台灣大學校務會議及校務建言系統資料之分析研究

Abstract

根據國際數據資訊中心估計，每年全球的數據資料量以50％的速度在成長，每兩年全球的數據量便增加一倍。從大量「資料」中，萃取有意義精華的技術和方法。資料種類很多元，除了資料庫中儲存的文字或數據，還包括聲音、影像、PDF、網頁等。皆為巨量資料可以分析的「資料」。 現今最熱門且廣為人知就是網路網頁資料，本研究針對西元2001至2012年間台灣大學校務會議紀錄查詢系統與西元2005至2012年間校務建言系統的網路網頁資料，進行收集、轉錄及量化後進行統計分析。利用敘述統計、統計圖表、變方分析、卡方檢定及無母數統計等統計方法，分別研究對於國立台灣大學校務會議各提案人間及提案處理效率關係與校務建言各建議類別、建議者身分、建議主旨的建言處理效率與點閱次數的關係是否存在顯著差異。 分析結果顯示，國立台灣大學校務會議，在行政組織和師生的平均提案次數、平均處理日數，以師生的平均提案次數較少且平均處理日數較長達到統計上的顯著差異，嚴重影響師生的權益。另外在國立台灣大學校務建言系統，就建議類別、建議者身分、建議主旨而言，對於處理日數較長和高點閱次數的建言探討。隨著年份的增加，除了寒、暑假期間，校務建言系統使用的人數日益增加。

Technology research firm International Data Corporation estimates that the growth rate of the annual amount of global data is 50%. Data has doubled every two years. It is very important to use the techniques and methods of extracting meaningful information from data. There are many other kinds of data in the world such as audio, video, PDF, and web pages, in addition to text or data stored in the database. This study is focused on the data from web pages on internet: University Assembly Meetings from National Taiwan University between 2001 and 2012 and the Opinion Web System of the National Taiwan University between 2005 and 2012. The methodology involves collection, transcription, and quantitation of the web data which were analyzed by statistical methods such as descriptive statistics, graphic presentation, analysis of variance, multiple comparisons, chi-square test, and nonparametric procedure. Our study objectives are to compare processing duration of proposed bills sponsored by different categories of sponsors for University Assembly Meetings and to compare the processing duration and popularity of opinions by different categories of opinion areas and administrative units for the Opinion Web System of the National Taiwan University. The results show that the statistical significant differences were found in proposed bills and processing efficiency among administrative units, faculty and students in University Assembly Meetings from National Taiwan University. The mean processing time of the proposed bills sponsored of faculty and students is statistically longer than that sponsored by administrative units. It seriously affects the interest of faculty and students. For the opinion web system of the National Taiwan University, we compared the processing duration and popularity between categories of opinions, subjects of opinions, and identification classes of the proposed of the opinions. Except for the winter and summer vacations, an increasing trend is observed in opinion volume.