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Relationship between demographic attributes and final examination performance using Rasch model

机译:人口统计学特征与使用Rasch模型的期末考试成绩之间的关系

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In Malaysia, the decision to accept a student into a higher learning institution is based on the Malaysia Certificate of Education (MCE / SPM) result. Generally, sound command in Physics, Additional Mathematics and English from the MCE / SPM result is deem necessary for them to be accepted into Engineering field. However, the student's performance in any examination at the higher institution relies heavily on how deep his understanding is for any given course. Therefore, this paper offers an insight on how students' demographic attributes affect the students' performance, in one of the high failure rate subject in Mechanical Engineering Faculty, namely Dynamics. The overall result was analyzed with respect to the Course Outcome (CO) using Rasch Model for a precise overview. The results were then scrutinized with respect to the demographic attributes namely type of student enrollment, pre-requisite subject grade as well as SPM result (English, Additional Mathematics and Physics,). The result from the Scalogram shows that, the students who are enrolled from Matriculation level performs better compared to those enrolled from Diploma level. It is also evident from the trend, that those who obtained good grade in the prerequisite subject, will most probably score better in Dynamics. Interestingly, the student must scored at least a B- in Statics, for them to learn comfortably in Dynamics. The findings will definitely help the management to act necessarily to lower down the failure rate.
机译:在马来西亚,根据马来西亚教育证书(MCE / SPM)成绩决定接纳学生进入高等教育机构。通常,认为MCE / SPM结果中的物理,附加数学和英语方面的声音命令对于被工程领域接受是必不可少的。但是,学生在高等学校的任何考试中的表现在很大程度上取决于他对任何给定课程的理解程度。因此,在机械工程学院的高失败率学科之一,即动力学中,本文提供了关于学生的人口统计学属性如何影响学生表现的见解。使用Rasch模型对课程结果(CO)进行了整体分析,以进行精确的概述。然后根据人口统计属性(即学生的入学类型,必修科目成绩以及SPM结果(英语,其他数学和物理学))对结果进行审查。规模图的结果显示,与从文凭课程入学的学生相比,从预科课程入学的学生表现更好。从趋势中还可以明显看出,那些在先修科目上取得良好成绩的人,很可能会在动力学课程中获得更高的分数。有趣的是,学生必须在静态测试中获得至少B-的成绩,以使他们在动态学习中轻松自如。这些发现无疑将有助于管理层采取必要措施来降低故障率。

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