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基于考试结果挖掘的教育评价:理论与实践 被引量:8

Education Evaluation based on Data Mining into Examination:Theory and Practice
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摘要 考试分数的使用是评价工作的关键一环,它直接影响着教育决策部门、学校和学生对分数及其背后信息的使用。近些年来,随着现代统计与测量理论研究的不断深化,国内外考试机构在考试分数的使用方面基于认知诊断和多元智能理论的应用取得了长足的进步,为政府部门的决策、学校的教学改进和考生自主学习提供了科学依据。笔者结合我国大规模教育考试的实际,在总结国内外理论研究和实践经验的基础上,在高考、教师资格考试、NCRE等项考试中尝试进行了利用考试分数开展评价的探索。 The use of test scores is the key part of the evaluation. It has a direct impact on how the educational administration depart- ments, schools and students use the scores and the information behind them. In recent years, with the development of modem statistics and measurement theory, considerable progress has been made in terms of the use of test scores based on the application of cognitive di- agnosis and multiple intelligences theory. This provides a scientific basis for the decision - making of the government organizations, teaching and study. In accordance with the reality of large - scale examination in our country, the authors summed up the domestic and international theoretical research and practical experience, and tried to use test scores to carry out evaluation in college entrance exami- nation,teacher qualification exam and NCRE.
机构地区 教育部考试中心
出处 《心理学探新》 CSSCI 2012年第5期461-465,共5页 Psychological Exploration
关键词 高考 考试评价 诊断性分数报告 Gaokao Examination Assessment Diagnostic Score Report
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参考文献9

  • 1李光明.(2012).探索考试评价,促进高考改革.北京频范大学学报,增刊,5 -9.
  • 2Wainer,H. , Vevea, J. L. , Camacho, F. , Reeve, B. , Rosa, K.,Nelson,L.,Swygert, K.,& Thissen, D. (2001). Augmentedscores—u borrowing strengthn to compute scores based onsmall numbers of items. In D. Thissen & H. Wainer( Eds.),Test Scoring( pp. 343 - 387 ). Mahwah,NJ : Lawrence ErlbaumAssociates.
  • 3Yen,W. M. ( 1987). A Bayesian/IRT index of objective perform-ance. Paper presented at the meeting of the Psychometric So-ciety. Montreal.
  • 4Stufflebeam, D. L. (1983). The CIPP model for program evalua-tion. In G. F. Madaus,M. S. Scriven, & D, L. Stufflebeam(Eds. ) , Evaluation models : viewpoints on educational and hu-man services evaluation^ pp. 117 - 141). Boston : Kluwer - Ni-jhoff Publising.
  • 5Roussos,L. A. ,DiBello,L. V.,Stout,W. F. ,Hartz,S. M.,Hen-son,R. A. ,& TempIin,J. H. (2007). The fusion model skillsdiagnostic system. In J. Leighton & M. Gierl (Ed. ) ,Cognitivediagnostic assessment for education : Theory and applications.New York : Cambridge University Press.
  • 6Cessaroli,M. E. (2004). Using hierarchical multidimensional i-tem response theory to estimate augmented subscores. Paperpresented at the annual meeting of the National Council onMeasurement in Education. San Diego, CA.
  • 7Junker, B. W. , & Sijtsma, K. ( 2001 ). Cognitive assessmentmodels with few assumptions, and connections with nonpara-metric item response theory. Applied Psychological Measure-ment ,25,25S -272,Kelley,T. L. (1927). The interpretation of educational measure-ments. New York:Word Book.
  • 8Leighton, J. P. , Gierl, M. J.,& Hunka, S. M. (2004). The at-tribute hierarchy model for cognitive assessment : A variationon Tatsuoka s rule - space approach. Journal of EducationalMeasurement ,41,205 -237.
  • 9Tatsuoka, K. K. ( 1983 ). Rule space : An approach for dealingwith misconceptions based on item response theory. Journal ofEducational Measurement ,20,345 -354.

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