Analysis of Items with Item Response Theory (IRT) Approach on Final Assessment for Al-Quran Hadith Subjects

Ahmad Syafii, H. Haryanto, I. Ahmad, Arifah Fauziah
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引用次数: 1

Abstract

Measurement in the field of education, especially the teaching and learning process can be done with measuring tools in the form of tests and non-tests. Islamic Religious Education is considered the same as other subjects. to realize student success is also measured through evaluation, which is a systematic process to obtain information about the effectiveness of teaching and learning activities. In addition, it can also assist teachers in achieving learning objectives and describe student achievement in accordance with predetermined criteria. This study aims to analyze the Year-End Assessment of MAN 2 Bantul for the 2020/2021 academic year consisting of 25 multiple-choice questions. The items analyzed in the report have a total number of responses of 265 students. Item analysis using analysis with modern test theory ( Item Response Theory ). The results showed that the results of the model fit test showed that the instrument fit on the 2 PL model (Logistics parameter) with the lowest AIC value, namely 4874.85. The results of the parameter analysis of the level of difficulty indicate that there are 4 questions that are categorized as very easy, 4 easy questions, 15 moderate questions, 1 difficult question, and 1 very difficult question. This shows that the distribution of the difficulty level parameters is quite balanced. The results of the analysis of the different power parameters show that there are 23 good questions, 1 fairly good question, and 1 bad question. This shows that the different power level parameters are quite good. The results of the estimation of students' abilities with the MLE estimator showed that there were no students who had abilities below -4. There are 15 students with abilities above 2.00. There are 165 students who fall into the good category (ability -2 to 2 and 9 students who have abilities below -2. Based on the plot of the information function, it can be concluded that the optimal test if given to individuals with low abilities is around -1.2. Accurate questions to measure students' abilities with a range of -2.5 to 1.2.
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用项目反应理论(IRT)分析《古兰经》圣训科目的期末评估
教育领域,特别是教学过程中的测量可以通过测试和非测试形式的测量工具来完成。伊斯兰宗教教育被认为和其他科目一样。学生成功的实现也是通过评价来衡量的,这是一个获取教与学活动有效性信息的系统过程。此外,它还可以帮助教师实现学习目标,并按照预定的标准描述学生的成绩。本研究旨在分析2020/2021学年MAN 2班图尔的年终评估,该评估由25个选择题组成。报告中分析的项目共有265名学生回答。项目分析采用现代测试理论(项目反应理论)进行分析。结果表明,模型拟合检验结果表明,仪器对2 PL模型(物流参数)的拟合AIC值最低,为4874.85。难度等级的参数分析结果显示,有4个问题被分类为非常简单,4个简单,15个中等,1个困难,1个非常困难。这表明难度等级参数的分布是相当平衡的。对不同功率参数的分析结果表明,有23个问题是好的,1个是比较好的,1个是不好的。这说明不同的功率电平参数是相当不错的。用MLE估计器估计学生能力的结果显示,没有学生的能力低于-4。能力在2.00以上的学生有15人。有165名学生属于优秀类别(能力-2至2),9名学生的能力低于-2。从信息函数图可以看出,对低能力个体的最优测试在-1.2左右。准确的问题,以衡量学生的能力,范围从-2.5到1.2。
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