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An international comparison using a diagnostic testing model: Turkish students' profile of mathematical skills on TIMSS-R

机译:使用诊断测试模型进行的国际比较:土耳其学生在TIMSS-R上的数学技能简介

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摘要

This study illustrates how a diagnostic testing model can be used to make detailedcomparisons between student populations participating in international assessments. Theperformance of Turkish students on the TIMSS-R mathematics test was reanalyzed with adiagnostic testing model called the Rule Space Model. First, mathematical and cognitiveskills (' attributes ') measured by the test were determined. One hundred sixty-two items werecoded in terms of their attribute involvement, creating an incidence matrix—the Q-matrix.Using the Q-matrix and the student response data, each student's attribute mastery profile wasdetermined. Mean attribute mastery levels of Turkish students were computed and comparedto those of their American peers. It was shown that Turkish students were weak in algebra andprobability/statistics. They also demonstrated poor profiles in skills such as applying rules inalgebra, approximation/estimation, solving open-ended problems, recognizing patterns andrelationships, and quantitative reading.
机译:这项研究说明了如何使用诊断测试模型对参加国际评估的学生群体进行详细的比较。通过称为规则空间模型的诊断测试模型重新分析了土耳其学生在TIMSS-R数学测试中的表现。首先,确定测试测验的数学和认知技能(“属性”)。根据属性的参与程度对162个项进行编码,从而创建了一个发生矩阵-Q矩阵。使用Q矩阵和学生的响应数据,确定了每个学生的属性掌握状况。计算土耳其学生的平均属性精通水平,并将其与美国同龄人进行比较。结果表明,土耳其学生的代数和概率/统计能力较弱。他们还表现出技能方面的欠佳,例如应用代数规则,近似/估计,解决开放式问题,识别模式和关系以及定量阅读。

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