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Correlation between the MEAP test and the Performance Series computer -adaptive test in mathematics.

机译:MEAP考试与Performance Series计算机自适应考试在数学中的相关性。

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摘要

Declining quality of the American public school education has prompted legislators to impose standards-based accountability across the nation, a shift that brought with it high-stakes testing. Further entrenching the ideal of testing for accountability, the No Child Left Behind Act imposed strict assessment guidelines on states, requiring annual testing of all students in grades three through eight. Most states administer norm-referenced and criterion-referenced tests in the traditional paper-and-pencil format, which at times is plagued with inefficiencies. The most critical of these inefficiencies is the delay between the time of administration to receipt of test results, which hinders meaningful and timely interpretation. One feature of Internet-based, computerized adaptive tests is their ability to provide instant feedback.;The purpose of this research was to investigate the degree of correlation between the Performance Series Test (PST), a computerized adaptive test marketed by the Scantron Corporation, and the Michigan Educational Assessment Program (MEAP) test in mathematics. This research also investigated whether the PST can predict students' MEAP math scores. This study is significant because it not only investigated an efficient assessment technology that can be used to gauge student progress, but that can also aid in predicting student achievement in a high-stakes assessment. The research model helps educators design individualized instruction months ahead of taking the MEAP.;A non-experimental, exploratory correlational research design was used in this study. Data collection tools included results from the MEAP test taken by 259 fourth-grade and 282 eighth-grade students using paper and pencil, and a computer-adaptive test, the PST. Student achievement scaled scores from the 2003--2004 school year were used, with the researcher obtaining data from an urban school district in southeastern Michigan.;Pearson product-moment correlations between MEAP and PST scores for Grade 4 and Grade 8 were .742 (p<0.001) and .808 (p<0.001) respectively, indicating strong relationships between the two tests. Multiple regression analyses indicated the PST was the prominent predictor of MEAP scores, followed by ethnicity. The other predictor variables, which included gender, ethnicity, socioeconomic status, special education, and English-language proficiency, were insignificant predictors of MEAP in the presence of PST scores and ethnicity. The predictive value of PST allows for timely remediation of students who are at risk of failing the MEAP.
机译:美国公立学校教育质量的下降促使立法者在全国范围内实行基于标准的问责制,这一转变带来了高风险测试。进一步确立了问责制考试的理想,《不让任何孩子落后》法案对各州施加了严格的评估准则,要求对所有三至八年级的学生进行年度考试。大多数州都以传统的纸笔形式管理规范参考测试和标准参考测试,这有时效率低下。这些低效率中最关键的是从管理时间到收到测试结果之间的延迟,这阻碍了有意义和及时的解释。基于Internet的计算机化自适应测试的一项功能是提供即时反馈的能力。本研究的目的是研究性能系列测试(PST)(由Scantron Corporation销售的计算机化自适应测试)之间的相关程度,以及密歇根州的数学教育评估计划(MEAP)测试。这项研究还调查了PST是否可以预测学生的MEAP数学成绩。这项研究意义重大,因为它不仅研究了可用于评估学生进度的有效评估技术,而且还可以帮助您在高风险评估中预测学生的成绩。该研究模型可帮助教育工作者在参加MEAP之前的几个月内设计个性化的教学方案。本研究采用了非实验性,探索性的相关研究设计。数据收集工具包括259名四年级学生和282名八年级学生使用纸笔和铅笔进行的MEAP测试结果以及计算机适应性测试PST。研究人员从密歇根州东南部的一个城市学区获得了2003--2004学年的学生成绩量表分数.4年级和8年级的MEAP和PST分数之间的皮尔逊积矩相关性为.742( p <0.001)和.808(p <0.001),表明这两个测试之间存在很强的关系。多元回归分析表明,PST是MEAP得分的主要预测指标,其次是种族。其他预测变量包括性别,种族,社会经济地位,特殊教育和英语熟练程度,在存在PST分数和种族的情况下,MEAP的预测指标微不足道。 PST的预测价值可以及时纠正有可能无法通过MEAP的学生。

著录项

  • 作者

    Torossian, Hosep.;

  • 作者单位

    Central Michigan University.;

  • 授予单位 Central Michigan University.;
  • 学科 Education Tests and Measurements.;Education Mathematics.;Education Technology of.
  • 学位 Ed.D.
  • 年度 2005
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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