Journal directory listing - Volume 62 (2017) - Journal of Research in Education Sciences【62(4)】December (Special Issue: Institutional Research and Higher Education Development)
Directory
(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
《Full Text》
References:
- 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.】
- 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.】
- 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.】
- 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.】
- 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.】
» More
- 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.】
- 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.】
- 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.】
- 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.】
- 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.】
- 李東杰、蘇偉鴻、薛金愛、梅菁芳(2012)。二階段資料包絡分析法應用於臺灣南部技職校院辦學績效評估。東海教育評論,8,1-28。【Lee, T.-C., Su, W.-H., Xue, J.-A., & Mei, J.-F. (2012). Applying the two-stage data envelopment analysis in the efficiency evaluation of technical and vocational colleges in southern. Tunghai Education Review, 8, 1-28.】
- 李茂能(2004)。各種Gini係數指標的相對效能分析:以教育成就模擬資料為例。國民教育研究學報,13,1-50。【Lee, M.-N. (2004). A relative accuracy analysis of education inequality measures derived from the Gini family. Journal of Research on Elementary and Secondary Education, 13, 1-50.】
- 科技部(2015)。臺灣PISA 2012結果報告。取自http://www.most.gov.tw/ 【Ministry of Science and Technology. (2015). Taiwan PISA 2012 results report. Retrieved from http://www.most. gov.tw/】
- 高強、黃旭男、Sueyoshi, T.(2003)。管理績效評估:資料包絡分析法。臺北市:華泰。【Kao, C., Hwang, S.-N., & Sueyoshi, T. (2003). Management performance assessment: Data envelopment analysis. Taipei, Taiwan: Hwa Tai.】
- 許崇憲(2002)。家庭背景因素與子女學業成就之關係─臺灣樣本的後設分析。中正教育研究,1(2),25-62。【Hsu, C.-S. (2002). The relationship between family background factors and children’s academic achievement: A case study on analysis of Taiwan’s sample. Chung Cheng Educational Studies, 1(2), 25-62.】
- 陳文琦(2007)。臺灣技職院校商學院專科部之表現評估─資料包絡法(未出版碩士論文)。國立臺灣大學,臺北市。【Chen, W.-C. (2007). Performance evaluation of junior colleges of business in Taiwan: A data envelopment analysis (Unpublished master’s thesis). National Taiwan University, Taipei, Taiwan.】
- 陳敏彥(2013)。網路妥善度和應用ICT對PISA素養表現影響之多變量階層線性模式探討(未出版博士論文)。國立臺中教育大學,臺中市。【Chen, M.-Y. (2013). A study on literacy of PISA with NRI and ICT application by using the hierarchical multivariate linear model (Unpublished doctoral dissertation). National Taichung University of Education, Taichung, Taiwan.】
- 黃彥超(2009)。影響學生學習表現之學校與系統因素探討:以PISA 2006年之結果為例。學校行政,63,115-130。【Huang, Y.-C. (2009). A review of the impact of school and system factors associated with students’ performance: A synthesis of PISA results. School Administrators, 63, 115-130.】
- 黃鏡如、傅祖壇、黃美瑛(2010)。績效評估:效率與生產力之理論與應用。臺北市:新陸。【Huang, C., Fu, T.-T., & Huang, M.-Y. (2010). Performance evaluation: Efficiency and productivity. Taipei, Taiwan: Shinlou Books.】
- 賓靜蓀(2012)。PISA到底是什麼?親子天下,35,168-171。取自http://www.parenting.com.tw/ article/5033385-PISA 【Bing, J.-S. (2012). What is PISA? CommonWealth Parenting, 35, 168-171. Retrieved from http://www.parenting. com.tw/article/5033385-PISA】
- 臺灣PISA國家研究中心(2012)。PISA科學素養評量手冊。取自http://pisa.nutn.edu.tw/down load/sample_papers/other/Taiwan2011SciencePDF.zip 【Taiwan PISA National Center. (2012). PISA scientific literacy assessment manual. Retrieved from http://pisa.nutn. edu.tw/download/sample_papers/other/Taiwan2011SciencePDF.zip】
- 蔡金田(2013)。國民中學教育公平實施現況探究。教育理論與實踐學刊,27,173-218。【Tsai, C.-T. (2013). The research of the educational equity in junior high school. Bulletin of Research on Elementary Education, 27, 173-218.】
- 盧永祥(2005)。臺灣高等技職院校成本結構與經營效率之分析-考量產出品質及組織特性(未出版博士論文)。國立臺灣大學,臺北市。【Lu, Y.-H. (2005). Assessing the cost structure and efficiency of polytechnic higher education institutions in Taiwan-With emphasis on output quality and institutional characteristics (Unpublished doctoral dissertation). National Taiwan University, Taipei, Taiwan.】
- 駱明慶(2002),誰是台大學生?—性別、省籍與城鄉差異。經濟論文叢刊,30(1),113-147。doi:10.6277/ter.2002.301.5 【Luoh, M.-C. (2002). Who are NTU students?-Differences across ethnic and gender groups and urban/rural discrepancy. Taiwan Economic Review, 30(1), 113-147. doi:10.6277/ter.2002.301.5】
- 羅珮華(2003)。從TIMSS 1999探討國二學生的學習成就與學習時間及國家經濟能力之關係。科學教育月刊,256,3-11。【Lo, P.-H. (2003). The relationship between student achievements, study time and country’s economic power in TIMSS 1999. Science Education Monthly, 256, 3-11.】
- Afonso, A., & Aubyn M. S. (2006). Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs. Economic Modelling, 23(3), 476-491. doi:10.1016/j.econmod.2006.02.003
- Aparicio J., Crespo-Cebada, E., Pedraja-Chaparro, F., & Santín, D. (2017). Comparing school ownership performance using a pseudo-panel database: A malmquist-type index approach. European Journal of Operational Research, 256(2), 533-542. doi:10.1016/j.ejor.2016.06.030
- Aziz, N. A. A., Janor, R. M., & Mahadi, R. (2013). Comparative departmental efficiency analysis within a university: A DEA approach. Procedia-Social and Behavioral Sciences, 90, 540-548. doi:10.1016/j.sbspro.2013.07.124
- Barbetta, G. P., & Turati, G. (2003). Efficiency of junior high schools and the role of proprietary structure. Annals of Public and Cooperative Economics, 74(4), 529-552. doi:10.1111/j.1467- 8292.2003.00234.x
- Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. doi:10.1287/mnsc.30.9.1078
- Central Intelligence Agency. (2012). The world factbook. Retrieved from https://www.cia.gov/ library/publications/the-world-factbook/rankorder/2206rank.html
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. doi:10.1016/0377-2217(78)90138-8
- Chiacchio, C. D., Stasio, S. D., & Fiorilli, C. (2016). Examining how motivation toward science contributes to omitting behaviors in the Italian PISA 2006 sample. Learning and Individual Differences, 50, 56-63. doi:10.1016/j.lindif.2016.06.025
- Coleman, J. S., Campbell, E. Q. Hobson, C. J., McPartland, J., Mood, A. M., Weinfeld, F. D., & York, R. L. (1966). Equality of educational opportunity. Washington, DC: Office of Education.
- Fan, H., Xu, J., Cai, Z., He, J., & Fan, X. (2017). Homework and students’ achievement in math and science: A 30-year meta-analysis, 1986-2015. Educational Research Review, 20, 35-54. doi:10. 1016/j.edurev.2016.11.003
- Fonseca, J., Valente, M. O., & Conboy, J. (2011). Student characteristics and PISA science performance: Portugal in cross-national comparison. Procedia-Social and Behavioral Sciences, 12, 322-329. doi:10.1016/j.sbspro.2011.02.041
- Fried, H. O., Lovell, C. A. K., Schmidt, S. S., & Yaisawarng, S. (2002). Accounting for environmental effects and statistical noise in data envelopment analysis. Journal of Productivity Analysis, 17(1-2), 157-174. doi:10.1023/A:1013548723393
- Giambona, F., Vassallo, E., & Vassiliadis E. (2011). Educational systems efficiency in European union countries. Studies in Educational Evaluation, 37(2-3), 108-122. doi:10.1016/j.stueduc. 2011.05.001
- Golany, B., & Roll, Y. (1989). An application procedure for DEA. OMEGA, 17(3), 237-250. doi:10. 1016/0305-0483(89)90029-7
- Jurewicz, M. M. (2004). Organizational citizenship behaviors of middle school teachers: A study of their relationship to school climate and student achievement (Unpublished doctoral dissertation). Collego of William and Mary, Williamsburg, VA.
- Liou, P. Y. (2017). Profiles of adolescents’ motivational beliefs in science learning and science achievement in 26 countries: Results from TIMSS 2011 data. International Journal of Educational Research, 81, 83-96. doi:10.1016/j.ijer.2016.11.006
- Lozano, R., & Young, W. (2013). Assessing sustainability in university curricula: Exploring the influence of student numbers and course credits. Journal of Cleaner Production, 49, 134-141. doi:10.1016/j.jclepro.2012.07.032
- Organization for Economic Co-operation and Development. (2014). PISA 2012 results: What students know and can do: Student performance in mathematics, reading and science (Volume I). Retrieved from http://www.oecd.org/pisa/keyfindings/pisa-2012-results-volume-i.htm
- United Nations Development Programme. (2012). Human development reports. Retrieved from http://hdr.undp.org/en/composite/trends
- Tuijnman, A. C., & Brummelhuis, A. C. A. T. (1992). Determinants of computer use in lower secondary schools in Japan and the United States. Computers & Education, 19(3), 291-300. doi: 10.1016/0360-1315(92)90123-M
- Vítek, L., & Martínková, L. (2015). Assessment of efficiency of expenditure programmes in education: Primary education in the Czech republic. Procedia Economics and Finance, 25, 607- 614. doi:10.1016/S2212-5671(15)00775-3
- Wenglinsky, H. (1997). How money matter: The effect of school district spending on academic achievement. Sociology of Education, 70(3), 221-237. doi:10.2307/2673210