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Using the Rasch model to assess examination Beyond students' scores

机译:使用Rasch模型评估学生成绩以外的考试

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Similar to most institutions of higher learning (HLI) around the globe, the admission requirements for all HLI in Malaysia offering engineering courses include good grades in physics, mathematics or other numerate subjects. Students' evaluations are based on the grades scored from administrative tests, quizzes and assignments are convenient as it provides a summative measure of students' cognitive ability. However, such measure is said be lacking in precision and low in reliability when measuring achievement levels of individual students. The aim of this paper is to reassess the method of evaluation by taking into account of the measurements of items and linear measures for persons and items. Using the stochastic Rasch model, performance of the matriculation students in the Physics examination paper is examined. The study suggests that the item model gives a good fit but persons and items measurement gives a fair fit. The measurement also indicates that a number of students encounter significant difficulties in grasping some of the fundamental topics in physics. These findings provide valuable insights into the structure and functionality of the examination paper. In general terms, it provides useful information in ensuring quality delivery of teaching and learning at the matriculation level.
机译:与全球大多数高等院校(HLI)相似,马来西亚提供工程课程的所有HLI的入学要求包括物理,数学或其他数学科的良好成绩。学生的评估基于行政测试中的分数,测验和作业很方便,因为它提供了学生认知能力的汇总指标。然而,据说这种方法在测量单个学生的成就水平时缺乏精确性和可靠性低。本文的目的是通过考虑项目的度量以及人员和项目的线性度量来重新评估评估方法。使用随机Rasch模型,检查了物理考试卷中预科生的表现。研究表明,物品模型具有很好的契合性,而人员和物品的度量却具有良好的契合性。这项测量还表明,许多学生在掌握物理的某些基本主题时遇到了很大的困难。这些发现为试卷的结构和功能提供了宝贵的见解。概括而言,它提供了有用的信息,可确保在预科阶段提供高质量的教与学。

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