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公務人員報考與錄取類科及職涯發展,與其畢業科系相關性之研究

標題 公務人員報考與錄取類科及職涯發展,與其畢業科系相關性之研究
研究年度(民國年) 111 研究主持人 陳敦源
撰稿人 參加人數
專案會議 研究方式 自行研究(機關預算)
研究經費 454993 研究機構 國立政治大學
中文關鍵字 「教-考-訓-用」配合制度、教考關聯性、有效科系數、專業吸引指數、循證公共行政、政府數位轉型
英文關鍵字 Education-examination-training-practice (EETP) Coordination System, Education-examination Correlation, Effective number of Departments (END), Professional Attraction Index (PAI), Evidence-based Pubic Administration, Government Digital Transformation
中文摘要 過去,「教-考-訓-用」配合制度是考試院的施政重點。本研究著重於其中「教-考」及「教-用」連結性之課題,透過考選部與銓敘部資料庫分析及焦點座談等方法,探討國家考試報考者及錄取者在求學期間所接受的「教育內容」與「國家考試類科」之間的「關聯度」,定義「教考關聯度」(Education Examination Correlation, EEC)。除此之外,也將分析錄取者進入公部門工作之後,其教育背景與工作表現的相關程度,從循證(evidence-based)的角度來回應我國國家考試「教-考」與「教-用」之間的配合度問題。
首先,在「教-考」方面。本研究發現大學科系的課程內容與考試類科間的實質相關性不高,一方面顯示高教目標未必都與國考知識領域相關;另一方面國考「行政」與「技術」類科間,對應大學科系有明顯的差異,包括下列五點,其一,技術類科的系所畢業生報考的類科科目數,較行政類科系所畢業生要少;其二,自然科系畢業生,跨考行政類科的比例,遠遠高於社會科學畢業生跨考技術類科,而人文學科畢業生只報考行政類科;其三,「EEC與上榜率」的相關性分析,技術類科無顯著相關,但行政類科有低度顯著正相關(0.04);其四,「有效類科數」方面,行政類科報考類科數較高的系所,以「企業管理」為主,而技術類科則比較多元;其五,高考類科的「專業吸引指數」(考試類科是否吸引相近科系來報考)方面,前38名都是技術類科,而行政類科的前五名排序如下:「衛生行政」、「金融保險」、「工業行政」、「企業管理」、以及「財務審計」。再者,在「教-用」方面,不論從考績或是陞遷來看,教考關聯度的影響力也都不高,隱含通過國考者進入公職之後的表現,「教-考」關聯度的解釋力較低。
最後,由於此計劃的研究方法是實驗性地整合考選部、銓敘部與公務人員保障暨培訓委員會的資料庫整合並進行大數據分析,從資料治理的角度,本研究亦特別呼應考試院的數位轉型政策,建議考試院針對不論在資料的蒐集與保存、資料庫的管理與人才以及資料的開放與加值應用等進行全盤規劃與調整。
英文摘要 The “Education-examination-training-practice (EETP) Coordination System” has been the key conceptual backrock for the Examination Yuan’s recruitment strategy. In this research, researchers try to decode the secret of the system’s two independent relationships of “education-examination” and “education-practice.” By using big data analytic method, we acquire data from both the Ministry of Examination and the Ministry of Civil Service’s databases. Then, we created a statistical scale of “Education-Examination Correlation (EEC),” Effective Number of Departments (END), and Professional Attraction Index (PAI) to be the core concepts of this investigation. All in all, this research attempts to uncover the coordination myth of both “education-examination” and “education-practice” by using an evidence-based approach.
The findings are as follows. First, in calculating EEC, we found that university courses are in a limited relation with the national examination categories. It indicates that higher education goal is not exclusively associated with civil service examinations. Second, there exits an obvious difference between administrative and technical sections. In total, from the following five aspects: (1) There are more registered examination categorical possibilities of administion oriented graduates than that of technical one; (2) The science department graduates who register administrative section exam are much more higher than the humanity departments graduates who register technological section exam; (3) The EEC is not associated with exam. passing rate within the technical section, as it reveales a low correlation (0.04) within the administrative section; (4) The maximum number of categories registered in administrative section are all from the department of business administration graduates. In contrast, in technological section, register’s graduated departments are more diverse; (5) In terms of PAI of examination, the top 38 are all technical categories, and the top 5 in administrative categories are health administration, finance and insurance, industrial administration, business management and auditing. In the part of “education-practice” issue, the influence of EEC on performance or promotion is not high. In others words, EEC has low explanatory power over the “education-practice” coordination.
Finally, this research is an effort to utilizing big data analysis on the databases of the Ministry of Examination and the Ministry of Civil Service. From the data governance perspective, we suggest that the Examination Yuan should make comprehensive planning and adjustment for the collection and preservation of data, the management of the data base, data open and value-added application.
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