Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory
Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory
复制标题
利用力概念清单开发计算机化自适应测试的分析
DOI：
10.1088/1742-6596/1929/1/012009
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Taniguchi Masa-aki
中科院分区：
文献类型：
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作者：
Yasuda Jun-ichiro;Mae Naohiro;Hull Michael M.;Taniguchi Masa-aki
作为缩短力概念量表（FCI）测试时间的一种方法，提出了计算机化自适应测试（CAT）。CAT是一种在计算机上进行的测试，其中项目（即问题）是根据考生对先前项目的反应来选择的。作为发展的一个步骤，我们进行了分析，以找到一个最佳的方式管理CAT与FCI。具体来说，由于CAT是基于项目反应理论（IRT），我们研究了哪个IRT模型是最可取的。使用2812日本学生的FCI的反应，我们估计的项目参数的一个，两个，三个，四个参数的逻辑模型的IRT，然后我们评估的拟合优度和模型选择的统计。基于上述分析，我们认为，双参数logistic模型是最可取的行政与FCI的CAT。
As a method to shorten the test time of the Force Concept Inventory (FCI), Computerized Adaptive Testing (CAT) is suggested. CAT is a test administered on a computer, where items (ie questions) are selected based on the responses of examinees to prior items. As a step of the development, we conducted analyses to find an optimal way for the administration of CAT with the FCI. Specifically, since CAT is based on Item Response Theory (IRT), we examined which IRT model is the most preferable. Using 2812 responses of the FCI of Japanese students, we estimated the item parameters of the One-, Two-, Three-, and Four-parameter logistic model of IRT and then we evaluated the statistics for the goodness of fit and for model selection. Based on the analysis, we suggest that the Two-parameter logistic model is the most preferable for the administration of CAT with the FCI.