期刊目錄列表 - 62卷(2017) - 【教育科學研究期刊】62(4)十二月刊(本期專題:校務研究與高教發展)
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(專題)OECD國家與臺灣之教育績效比較:以PISA科學素養為例
作者:彭開琼(健行科技大學國際企業經營系)、張佳雯(致理科技大學財務金融系)、李瑞生(桃園市立楊梅國民中學)

卷期:62卷第4期
日期:2017年12月
頁碼:145-179
DOI:10.6209/JORIES.2017.62(4).06

摘要:
本研究的焦點在於經濟合作暨發展組織(OECD)會員國及臺灣科學素養之比較,研究內容包括彙整科學素養評量結果、進行科學素養成就統計分析、探究影響科學素養成就的相關因素、評估OECD會員國及臺灣科學素養成就的整體效率值,以提出各項教育績效評估的建議。研究對象為參與PISA 2012評量的學生為主。本研究主要資料來源為OECD之2012年「國際學生能力評量計畫」的調查結果,採用的研究方法為三階段包絡分析法:第一階段利用DEA中的CCR、BCC模式分析各種效率值,第二階段利用Tobit迴歸去除環境因素所造成的相對無效率,第三階段則把調整後的產出項投到模型,分析調整後的各種效率值。研究結果顯示,經第二階段調整產出項後,第三階段分析結果顯示,各國的平均技術效率值及純技術效率值是提升的,而規模報酬遞減的國家數量明顯增加,且與第一階段的效率值有顯著的差異。所以各國皆面臨不同的經營環境,這些因素會干擾各國的經營效率評估,如果不事先予以消除,將會使各效率值的評估結果產生偏誤。因此,可以發現達到技術效率、純技術效率、規模效率值為1的國家數量增加,而規模報酬固定的國家由30個減至13個,顯示此報酬狀態為該國在投入與產出的比例上最為恰當,因此無須做任何改善與調整,規模報酬遞減的國家由5個增加至22個,顯示此報酬狀態為該國在投入與產出的比例上過大,因此各國政府可考慮調整或降低投入產出的比例,避免可能因規模過度擴張導致資源浪費的情形。

關鍵詞:Tobit迴歸、三階段包絡分析法、國際學生能力評量計畫

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參考文獻:
    1. 王文派、賴淑呈(2008)。科技大學系所效率分析之實證研究。計量管理期刊,1(5),1-12。【Wang, W.-P., & Lai, S.-C. (2008). Performance analysis of technology university departments: An empirical study. Journal of Quantitative Management, 1(5), 1-12.】
    2. 江芳盛(2006)。學生學業成就和國家經濟發展:Heyneman-Loxley效應的再檢驗。教育政策論壇,9(3),161-176。【Chiang, F.-S. (2006). Student learning and national economic development: A re-examination of Heyneman- Loxley effect using TIMSS 1999 and 2003 data. Educational Policy Forum, 9(3), 161-176.】
    3. 吳濟華、何柏正(2008)。組織效率與生產力評估-資料包絡分析法。臺北市:前程。【Wu, J.-H., & Ho, B.-J. (2008). Efficiency and production analysis-Data envelopment analysis. Taipei, Taiwan: Future Career Management.】
    4. 吳濟華、何柏正(2009)。組織效率與生產力評估-資料包絡分析法。臺北市:前程。【Wu, J.-H., & Ho, B.-J. (2009). Efficiency and production analysis-Data envelopment analysis. Taipei, Taiwan: Future Career Management.】
    5. 巫有鎰(2007)。學校與非學校因素對臺東縣原漢國小學生學業成就的影響。臺灣教育社會學研究,7(1),29-67。【Wu, Y.-I. (2007). Effects of school and non-school factors on Aboriginal and Non-aboriginal elementary students’ academic achievement in Taitung, Taiwan. Taiwan Journal of Sociology of Education, 7(1), 29-67.】
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中文APA引文格式彭開琼、張佳雯、李瑞生(2017)。OECD國家與臺灣之教育績效比較:以PISA科學素養為例。教育科學研究期刊,62(4),145-179。doi:10.6209/JORIES.2017.62(4).06
 
APA FormatPeng, K. -C., Chang, C. -W. & Li, J. -S. (2017). High school students’ science literacy and educational performance: A comparison between Taiwan and OECD countries. Journal of Research in  Education Sciences, 62(4), 145-179. doi:10.6209/JORIES.2017.62(4).06

Journal directory listing - Volume 62 (2017) - Journal of Research in Education Sciences【62(4)】December (Special Issue: Institutional Research and Higher Education Development)
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(Special Issue) High School Students’ Science Literacy and Educational Performance: A Comparison Between Taiwan and OECD Countries
Author: Kai-Chiung Peng (Department of International Business Management, Chien Hsin University of Science and Technology), Chia-Wen Chang (Department of Finance, Chihlee University of Technology), Jui-Sheng Li (Taoyuan City Yang Mei Junior High School)

Vol.&No.:Vol. 62, No.4
Date:December 2017
Pages:145-179
DOI:10.6209/JORIES.2017.62(4).06

Abstract:
This study compared science literacy between the Organization for Economic Cooperation and Development (OECD) member countries and Taiwan. To evaluate educational achievements, the study included archiving the assessment results of science literacy, statistically analyzing science literacy accomplishments, investigating the factors that influence science literacy, and assessing the overall efficiency of the science literacy accomplishments that the OECD member countries and Taiwan have achieved. The study participants were the high school students of the OECD member countries and Taiwan who had participated in the Programme for International Student Assessment (PISA) 2012. The study data source was OECD PISA 2012 results. A 3-stage Data Envelopment Analysis (DEA) was used. The 1-stage DEA was employed to analyze variety efficiency in the DEA of the CCR and BCC models. The 2-stage DEA was used to remove environmental factors caused by the relative inefficiencies in the Tobit regression analysis. The last stage placed the adjusted output into the model and analyzed the efficiency. It also revealed more decreasing returns to scale countries. Because different countries have different management environments, these factors can interfere with the efficiency assessment. If they are not eliminated in advance, a deviation may be observed in the analysis. This study indicated that the number of countries with technical efficiency, pure technical efficiency, and a scale efficiency value of 1 has increased, while the constant returns to scale countries from 30 to 13, indicating that the status of returns is the most appropriate proportion in input and output. Therefore, no improvements and adjustments were observed. A decrease was observed in returns to scale countries from 5 to 22, indicating that the status of returns is a huge proportion gap in input and output. Therefore, governments should consider adjusting or reducing the proportion of inputs and outputs, as resources may be wasted due to excessive scale expansion.

Keywords:PISA, Three Stage-DEA, Tobit regression