文章基本信息

标题：Computerized Adaptive Testing with Reflective Feedback: A Conceptual Framework
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作者：Nhabhat Chaimongkol ; Nhabhat Chaimongkol ; Shotiga Pasiphol 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2016
卷号：217
页码：806-812
DOI：10.1016/j.sbspro.2016.02.151
语种：English
出版社：Elsevier
摘要：AbstractComputerized Adaptive Testing (CAT) has been developed for many years. The main concept of CAT is the administration of items that are proper to each examinee's ability. In general, CAT has three important components, starting point, item selection and ability estimation, and stopping rules. Although CAT has been used for a long time, but still lack of ability estimation. In 2014, Zheng and Chang developed a new algorithm to fulfill the lack of ability estimation which is called On-the-Fly Assemble Multistage Adaptive testing or OMST. The study of Zheng and Chang shown that OMST is outperformed the traditional CAT. Furthermore, CAT reports testing score including feedback to be a summative assessment. However feedforward, one of formative assessment, is important to improve the learners. Both of feedback and feedforward in this research are referred to as reflective feedback. In this research, we would like to purpose a new conceptual framework which combines OMST and reflective feedback together. Items that we use for testing came from Information Technology Professional Examination (only IP level) from 2010 to 2014. Selected items into item pools will be analyzed by item response theory (IRT). The results of CAT with this framework will help protect over and under estimate ability of the examinees and will show instant feedback and feedforward simultaneously.
关键词：Computerized Adaptive Testing;Reflective Feedback