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大数据时代下的考试数据分析 被引量:3

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摘要 网上阅卷收集了全面而连续的"大"数据,这为洞察教学效果、改进教学行为提供了更确定的数据支撑,更有利于发挥考试的诊断功能。而要发挥大数据的诊断和反馈功能,就必须通过多维数据交叉对比,保持比较水平的一致和数据分类等途径,在同类数据内部以及多类数据之间进行关联或对比。在此基础上,将数据重组并创新性地应用于试题命制、教学改进等方面。
作者 朱丹红
出处 《福建教育(综合)(D版)》 2014年第A03期24-27,共4页
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  • 7Finch, H. (2005). The MIMIC Model as a Method for Detecting DIF: Comparison With Mantel-Haenszel, SIBTEST, and the IRT Likelihood Ratio. Applied Psychological Measurement, 29(4), 278-295.
  • 8Gregory Camilli, Rutgers. (2006). Test fairness. In Robert L. Brennan (Eds.), Educational Measurement (4th Edition) (p.221- 252). New York: Praeger Publishers.
  • 9Holland, P. W., & Thayer, D.T. (1988). Differential item performance and the Mantel-Haenszel procedure. In H. Wainer & H. I. Braun (Eds.), Test validity (p. 129 145). Hillsdale, NJ: Lawrence Erlbaum.
  • 10Lei P, Chen S, Yu L. (2006). Comparing Methods of Assessing Differential Item Functioning in a Computerized Adaptive Testing Environment. Journal of Educational Measurement, 43 (3), 245-264.

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