Modeling Unproductive Behavior in Online Homework in Terms of Latent Student Traits: An Approach Based on Item Response Theory

被引：0
作者：
Emre Gönülateş
Gerd Kortemeyer
机构：
[1] Michigan State University,Department of Counseling, Educational Psychology, and Special Education
[2] Michigan State University,Lyman Briggs College and Department of Physics and Astronomy
来源：
Journal of Science Education and Technology | 2017年 / 26卷
关键词：
Item Response Theory; Latent Trait; Item Parameter; Item Response Theory Model; Examination Score;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Homework is an important component of most physics courses. One of the functions it serves is to provide meaningful formative assessment in preparation for examinations. However, correlations between homework and examination scores tend to be low, likely due to unproductive student behavior such as copying and random guessing of answers. In this study, we attempt to model these two counterproductive learner behaviors within the framework of Item Response Theory in order to provide an ability measurement that strongly correlates with examination scores. We find that introducing additional item parameters leads to worse predictions of examination grades, while introducing additional learner traits is a more promising approach.
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页码：139 / 150
页数：11
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