题名

國民中學學生數學成就表現之跨國比較:以TIMSS為例

并列篇名

The International Comparison of Achievement in Mathematics of Eight Graders Based on TIMSS Data

作者

劉春初(Chun-Chu Liu);王澤宇(Tse-Yu Wang);陳威仁(Wei-Jen Chen)

关键词

國際數學與科學研究趨勢調查 ; 麥氏生產力指數 ; 資料包絡分析 ; Data Envelopment Analysis (DEA) ; Malmquist Productivity Index (MPI) ; Trend International Mathematics and Science Study (TIMSS)

期刊名称

測驗學刊

卷期/出版年月

66卷1期(2019 / 03 / 01)

页次

1 - 26

内容语文

繁體中文

中文摘要

本研究採用國際教育成就調查委員會(IEA)所發展之國際數學與科學教育成就趨勢調查(TIMSS)作為研究分析之資料基礎,並且以資料包絡分析(DEA)以及麥氏生產力指數(MPI)等研究方法,對於臺灣與其他國家的國民中學學生數學表現良莠進行更進一步的評估。分析結果發現:1.根據DEA的分析結果可看出在三個時期中,臺灣的總效率相對其他各國都屬相對無效率的情形,但與2007年中臺灣的技術效率則達到相對有效率,而以色列與新加坡則是當前提升臺灣學生數學成就上可參酌的對象。2.根據MPI的分析結果則可看出,若以總要素生產力指標而言,並沒有國家在三個年度中有明顯成長的現象,但若以其他各項指標觀之,可知道有許多國家亦持續不斷努力提升學生的數學學習興趣、自信、評價以及成就,是以藉由從各指標的觀察,則能根據分析結果縮小範圍進一步確認以色列與新加坡為臺灣可供參酌學習的國家,是為臺灣當前欲提升學生數學學習興趣、學習自信、學習評價以及成就的具體學習標竿對象。

英文摘要

This study combined data envelopment analysis (DEA) and Malmquist productivity index (MPI) to evaluate and compare the achievement in mathematics of eight graders in Taiwan with other countries by using the data of Trend International Mathematics and Science Study (TIMSS). The results can provide information to improve teaching and learning in science and mathematics. The results indicate the following: 1. The analysis of DEA shows that the overall efficiency of Taiwan and other countries were all inefficiency, but the technical efficiency of Taiwan in 2007 was efficiency, and Singapore and Israeli are Benchmarking of Taiwan. 2. The analysis of MPI shows that Total factor productivity of Taiwan and other countries were all less than 1. But if we observed from others indexes of MPI, we could find that many countries were keep improving their interests, self-confident evaluation, and achievement in mathematics of students. And analysis of MPI could help make sure that Singapore and Israeli are Benchmarking of Taiwan.

主题分类 社會科學 > 心理學
社會科學 > 教育學
参考文献
  1. 李文福,張佩茹(2013)。臺灣上市櫃證券商經營績效分析:一般化 Malmquist 生產力指數之應用。經濟研究,49(1),89-134。
    連結:
  2. 李哲迪(2016)。以 TIMSS 資料檢視 2003 至 2011 年臺灣八年級學生數學成就城鄉差異。教育研究集刊,62(4),1-40。
    連結:
  3. 林志哲(2007)。以結構方程模式驗證期望、價值與數學成就的關係。教育學刊,29,103-127。
    連結:
  4. 林素微,吳正新,洪碧霞(2013)。課室教學活動對數學學習成就解釋力之探討:以 TIMSS 2007 臺灣資料為例。測驗統計年刊,21,41-59。
    連結:
  5. 帥嘉珍,魏思平(2016)。臺灣太陽能產業之績效評估:兩階段資料包絡分析之應用。明新學報,42(1),109-124。
    連結:
  6. 張芳全(2006)。影響數學成就因素探討:以臺灣在 TIMSS 2003 年的樣本為例。課程與教學季刊,9(3),151-168。
    連結:
  7. 張芳全(2011)。家長教育程度、文化資本、自我抱負、學習興趣與數學成就之關係研究。臺中教育大學學報,25(1),29-56。
    連結:
  8. 畢威寧,劉若緹,何修仁(2012)。資料包絡分析法應用於「大一國文教學效率」自評模式建構之研究。聯大學報,9(2),51-70。
    連結:
  9. 陳敏瑜,游錦雲(2013)。以 TIMSS 資料檢視能力信念與任務價值對臺灣八年級學生數學成就之影響。教育科學研究期刊,58(3),25-35。
    連結:
  10. 陳敏瑜,游錦雲(2017)。學生知覺教師期望、能力信念、實用價值與內在價值對臺灣八年級學生數理成就之影響:以 TIMSS 2011 多層次結構方程式模型為例。教育科學研究期刊,62(1),59-102。
    連結:
  11. 陳嘉成(2007)。區別高低分群學生數學成就因素的國際比較:以臺灣、南韓、澳洲與賽普勒斯的 TIMSS 2003 學生背景變項為例。測驗學刊,54(2),377-402。
    連結:
  12. 黃敏雄(2009)。校外公開考試是否提高學生學習表現?運用雙重差分模型的跨國分析。人文及社會科學集刊,21(1),1-24。
    連結:
  13. 黃敏雄(2015)。學生數學表現的城鄉差異。教育研究集刊,61(4),33-61。
    連結:
  14. Agha, S. R.,Kuhail, I.,Abdelnabi, N.,Salem, M.,Ghanim, A.(2011).Assessment of academic departments efficiency using data envelopment analysis.Journal of Industrial Engineering and Management,4(2),301-325.
  15. Bangi, Y. I.(2014).Efficiency assessment of Tanzania private universities: Data Envelopment Analysis (DEA).International Journal of Education and Research,2(5),455-472.
  16. Banker, R. D.,Charnes, A.,Cooper, W. W.(1984).Some models for estimating technical and scale efficiencies in data envelopment analysis.Management Science,30(9),1078-1092.
  17. Berndt, T. J.,Miller, K. E.(1990).Expectancies, values, and achievement in junior high school.Journal of Educational Psychology,82(2),319-326.
  18. Birenbaum, M.,Tatsuoka, C.,Yamada, T.(2004).Diagnostic assessment in TIMSS-R: Between-countries and within-country comparisons of eighth grades mathematics performance.Studies in Educational Evaluation,30(2),151-173.
  19. Bos, K.,Kuiper, W.(1999).Modelling TIMSS data in a European comparative perspective: Exploring influencing factors on achievement in mathematics in grade 8.Educational Research and Evaluation,5(2),157-179.
  20. Bowlin, W. F.(1987).Evaluating the efficiency of US air force real-property maintenance activities.Journal of the Operational Research Society,38(2),127-135.
  21. Caves, D. W.,Christensen, L. R.,Diewert, W. E.(1982).The economic theory of index number of the measurement of input, output and productivity.Econometrica,50(6),1393-1414.
  22. Charnes, A.,Cooper, W. W.,Rhodes, E.(1981).Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through.Management Science,27(6),668-697.
  23. Charnes, A.,Cooper, W. W.,Rhodes, E.(1978).Measuring the efficiency of decision making units.European Journal of Operational Research,2(6),429-444.
  24. Do, Q. H.,Chen, J. F.(2014).A hybrid fuzzy AHP-DEA approach for assessing university performance.WSEAS Transactions on Business and Economics,11,386-397.
  25. Eccles, J. S.,Wigfield, A.(2002).Motivational beliefs, values, and goals.Annual Review of Psychology,53(1),109-132.
  26. Eccles, J. S.,Wigfield, A.(1995).In the mind of the actor: The structure of adolescent's achievement task values and expectancy-related beliefs.Personality and Social Psychology Bulletin,21(3),215-225.
  27. Eccles, J. S.,Wigfield, A.,Harold, R.,Blumenfeld, P. B.(1993).Age and gender differences in children's self- and task perceptions during elementary school.Child Development,64(3),830-847.
  28. Egilmez, G.,McAvoyc, D.(2013).Benchmarking road safety of U.S. states: A DEA-based Malmquist productivity index approach.Accident Analysis & Prevention,53(1),55-64.
  29. Färe, R.,Grosskopf, S.,Norris, M.,Zhang, Z.(1994).Productivity growth, technical progress, and efficiency change in industrialized countries.The American Economic Review,84(1),66-83.
  30. Farrell, M. J.(1957).The measurement of productive efficiency.Journal of the Royal Statistical Society. Series A (General),120(3),253-290.
  31. Golany, B.,Roll, Y.(1989).An application procedure for DEA.Omega,17(3),237-250.
  32. Köller, O.,Baumert, J.,Clausen, M.,Hosenfeld, I.(1999).Predicting mathematics achievement of eighth grade students in Germany: An application of parts of the model of educational productivity to the TIMSS data.Educational Research and Evaluation,5(2),180-194.
  33. Lee, B. L.(2011).Efficiency of research performance of Australian universities: A reappraisal using a bootstrap truncated regression approach.Economic Analysis & Policy,41(3),195-203.
  34. Malmquist, S.(1953).Index numbers and indifference curves.Trabajos de Estatistica,4,209-242.
  35. Martin, M. O.,Mullis, I. V. S.,Foy, P.,Olson, J. F.,Erberber, E.,Preuschoff, C.,Galia, J.(2008).TIMSS 2007 international science report: Findings from IEA's Trends in International Mathematics and Science Study at the Fourth and Eighth Grades.Chestnut Hill, MA:Boston College.
  36. Nicola, A. D.,Gitto, S.,Mancuso, P.(2013).Airport quality and productivity changes: A Malmquist index decomposition assessment.Transportation Research Part E: Logistics and Transportation Review,58,67-75.
  37. Qazi, A. Q.,Yulin, Z.(2012).Productivity measurement of hi-tech industry of China Malmquist productivity index: DEA approach.Procedia Economics and Finance,1,330-336.
  38. Shen, C.,Tam, H. P.(2009).The paradoxical relationship between student achievement and self-perception: A cross-national analysis based on three waves of TIMSS data.Educational Research and Evaluation,14(1),87-100.
  39. Shephard, R. W.(1970).Theory of cost and production functions.Princeton, NJ:Princeton University Press.
  40. Wigfield, A.(1997).Reading motivation: A domain specific approach to motivation.Educational Psychologist,32(2),59-68.
  41. Wigfield, A.,Eccles, J. S.(1992).The development of achievement task values: A theoretical analysis.Developmental Review,27(3),265-310.
  42. Yu, M. M.,Chern, C. C.,Hsiao, B.(2013).Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan's airports.Omega,41(1),119-130.
  43. Zuzovsky, R.(2003).Curriculum as a determinant of learning outcomes- what can be learned from international comparative studies-TIMSS-1999.Studies in Studies in Educational Evaluation,29(4),279-292.
  44. Zuzovsky, R.(2002).International comparative students in education: What can local policy makers learn and use? The 3rd international mathematics and science study in Israel.Studies in Educational Evaluation,28(3),235-252.
  45. 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.
  46. 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。
  47. 李國偉(2013)。TIMSS 2011 耐人尋味的問題。科學人雜誌,132,25。
  48. 林宜臻(2011,9 月 1 日)。值得我國數學教育努力的方向:成就高、意願高、優劣小。國家教育研究院電子報,23。取自 http://epaper.naer.edu.tw/index.php?edm_no=23&content_no=572
  49. 林福來(1987)。數學教育研究的趨勢。科學發展,15(10),1354-1363。
  50. 高強,黃旭男,Sueyoshi(2003).管理績效評估:資料包絡分析法.臺北市:華泰.
  51. 張芳全(2010).多層次模型在學習成就之研究.臺北市:心理.
  52. 張芳全(2011)。學生使用電腦與學習成就:臺灣參與 TIMSS 2007 資料為例。國民教育,51(5),42-49。
  53. 黃敏雄(2008)。班級同質程度、家庭背景及數學表現:運用雙重差分法的跨國分析。臺灣社會學刊,40,1-44。
  54. 葛湘瑋,何素美,張定中(2012)。數學學習態度與數學成就之探討:以TIMSS 2007 臺灣、新加坡與美國為例。教育人力與專業發展,29(5),1-24。
  55. 遠見雜誌(2012)。臺學生數學、科學、閱讀成就不凡,但興趣自信不足。2014年 12 月 16 日,取自 http://www.gvm.com.tw/webonly_content_210.html
  56. 薄喬萍(2007).績效評估之資料包絡分析法.臺北市:五南.
  57. 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。
  58. 譚克平(2009)。TIMSS 國際教育評比研究簡介。研習資訊,26(6),11-20。
被引用次数
  1. 張凌嘉(2021)。學習興趣和自信對中年級學生數學成就成長率的影響。臺灣數學教育期刊,8(2),77-106。