题名

運用GSP Chart、Rasch Model GSP曲線與GSM分析與表徵數學測驗-以國小六年級數學科評量為例

并列篇名

Based GSP Chart, Rasch Model GSP Curve and GSM to analyze Math Test-An example on 6th Graders' Math Subject Test

作者

何慧群(Hui-Chung Ho);范德孝(Duc-Hieu Pham);施碧珍(Pi-Chen Shih);許天維(Tian-Wei Sheu);永井正武(Masatake Nagai)

关键词

成就測驗 ; 教與學 ; 教育工學科技 ; Test ; Techniques of Educational Engineering ; Teaching and Learning ; Rasch Model GSP Curve ; GSM

期刊名称

測驗統計年刊

卷期/出版年月

22期_上(2014 / 06 / 01)

页次

25 - 65

内容语文

繁體中文

中文摘要

成就測驗,有謂能力測驗,評量結果成為關注的焦點,其中,以數學科測驗為最。測驗分析,一則凸顯教與學效益,二則診斷與改善學習困境,三則規劃與施行第二階段教育工程細部工作(Piecemeal Educational Engineering)。運用教育工學科技分析測驗結果的目的:(1)測驗分析數理結構化與表徵視覺化;(2)認知診斷體現科學性與系統性;(3)落實行動研究。研究工具以灰色系統理論為基礎,計有Rasch Model GSP Curve與GSM,前者表徵受試者能力高低與試題品質,後者依據圖學論圖示其階層結構。

英文摘要

The evaluation results of achievement tests, which also called competence tests are highly discussed especially in mathematical related subjects. There are three main purposes of these tests: (1) Evaluating the outcomes of both teaching and learning, (2) Diagnosing and improving learning obstacles for conducting the second-stage piecemeal educational engineering, (3) Planning future learning and teaching. This paper applies Techniques of Educational Engineering (TEE) to analyze the results of achievement tests. The main purposes of this paper are to support teaching and learning with a scientific approach, to identify diagnosis scientifically and systematically, and to realize the activity reach. The grey system theory is used as the analysis tool in this paper, including Rasch Model GSP Curve and GSM. The former is used to characterize the qualities of the examination questions and the tested results, and the latter is used to demonstrate the layer structure of the qualities of the examination questions and the tested results by graphic theory.

主题分类 基礎與應用科學 > 統計
社會科學 > 教育學
参考文献
  1. 許天維、曾建維、梁榮進、王柏婷、永井正武(2012)。以 Rasch Model GSP 表及 GSM 結構圖進行試題修正:以企業倫理與職業道德課程之測驗為例。教育研究與發展期刊,8(4),53-80。
    連結:
  2. Hancock, C. H. (1940). An evaluation of certain popular science misconceptions. Science Education, 24, 208-213.
  3. Ausubel, D. P.,Novak, J. D.,Hanesian, H.(1978).Education psychology: A cognitive view.New York:Holt, Rinehart, & Winston.
  4. Barrass, R.(1984).Some misconceptions and misunderstandings perpetuated by teachers and textbooks of biology.Journal of Biology Education,8,201-205.
  5. Bryman, A.,Cramer, D.(1997).Quantitative Data Analysis with SPSS for Windows: A Guide for Social Scientists.London:Routledge.
  6. Champagne, A. B.,Klopfer, L. E.,Anderson, J. H.(1980).Factors influencing the learning of classical mechanics.American Journal of Physics,48(12),1074-1079.
  7. Clarke, H.H.(1967).Application of Measurement to Health and Physical Education.Englewood:Prentice-hall.
  8. Gates, P.(ed.)(2001).Issues in mathematics teaching.London:Routledge/Falmer.
  9. Gay, L.R.(1996).Educational Research: Competencies for Analysis and Application.Englewood Cliffs, NJ:Merrill, Prentice-Hall.
  10. Kahneman, D.(ed.),Slovic, P.(ed.),Tversky, A.(ed.)(1982).Judgement under uncertainty: Heuristics and Biases.Cambridge Uni. Press.
  11. Lord, F.M.(1980).Applications of item response theory to practical testing problems.Hillsdale, NJ:Lawrence Erlbaum Associates.
  12. Lord, F.M.(ed.),Novick, M.R.(ed.)(1968).Statistical theories of mental test scores.Reading, MA:Addison-Wesley.
  13. Nagai, M.,Yamaguchi, D.,Li, G. D.,Mizutani, K.(2005).New System Modeling Method Based on Grey Theory.IPSJ SIG Technical Reports,40(AL-101),59-66.
  14. Rasch, G.(1960).Probabilistic models for some intelligence and attainment tests.Copenhagen:Danish National Institute for Educational Research.
  15. Sato, T.(1985).Introduction to student-problem curve theory analysis and evaluation.Tokyo:Meiji Tosho.
  16. Sato, T.(1969).A method of analyzing data gathered by the response analyzer for diagnosis of student performance and the quality of instructional sequence.Proceedings of the meeting of IECE of Japan Annual Conference,Japanese:
  17. Sato, T.(1980).The S-P chart and the caution index.Tokyo: NEC Educational Information Bulletin,80(1)
  18. Sato, T.,Kurata, M.(1997).Basic S-P score table characteristics.NEC Research and Development,47,64-71.
  19. Sato, T.,Kurata, M.(1977).Basic S-P Score Table Characteristics.NEC Research and Development,47,64-71.
  20. Sheu, T. W.,Tzeng, J. W.,Liang, J. C.,Wang, B. T.,Nagai, M.(2010).Proposal of the Rasch Model GSP Chart and its Tools Development.The 15th Conference on Grey System Theory and Applications
  21. Yamaguchi, D.、Akabane, T.、Li, G. D.、Mizutani, K.、Nagai, M.、Kitaoka, M.(2007)。GSM による消費者の感性を考慮した灰色理論型市場調査法。日本感性工学会研究論文集,7(1),83-94。
  22. Yamaguchi, D.,Li, G. D.,Mizutani, K.,Akabane, T.,Nagai, M.,Kitaoka, M.(2007).A realization algorithm of grey structural modeling.Journal of Grey System,10(1),33-40.
  23. Yamaguchi, D.,Li, G. D.,Nagai, M.(2005).New Grey relational analysis for finding the invariable structure and its applications.Journal of Grey System,8(2),167-178.
  24. 山口大輔、李国棟、水谷晃三、永井正武(2005)。ユークリッド距離による灰色関連測度の提案。IPSJ SIG Technical Report,2005(35(FI-78 DD-49)),9-16。
  25. 王文中(2004)。Rasch 測量理論與其在教育和心理之應用。教育與心理研究,27(4),637-694。
  26. 余民寧(2002)。教育測驗與評量─成就測驗與教學評量。台北:心理。
  27. 唐偉勤、蕭新平(2004)。灰色關聯分析在複雜系統評估中的應用。武漢理工大學學報(交通科學與工程版),28(2),722-724。
  28. 劉思峰、黨耀國、方志耕、謝乃明(2010)。灰色系統理論及其應用。北京:科學出版社。
  29. 温坤禮、趙忠賢、張宏志、陳曉瑩、溫惠筑(2013)。灰色理論。台北:五南。
被引用次数
  1. 范德孝、阮福海、阮逢選、何慧群、永井正武(2014)。運用工學模式分析與表徵合作解題評量研究。測驗統計年刊,22(下),23-50。