形成性评价
计算机科学
考试(生物学)
阅读理解
集合(抽象数据类型)
认知
基质(化学分析)
阅读(过程)
自然语言处理
人工智能
心理学
数学教育
语言学
古生物学
程序设计语言
材料科学
复合材料
哲学
生物
神经科学
标识
DOI:10.1080/10627197.2013.761522
摘要
Cognitive diagnostic analyses have been advocated as methods that allow an assessment to function as a formative assessment to inform instruction. To use this approach, it is necessary to first identify the skills required for each item in the test, known as a Q-matrix. However, because the construct being tested and the underlying cognitive processes associated with it are usually not fully understood, establishing a Q-matrix, especially for an existing test, is a challenging task. This study reports the process of constructing and validating a Q-matrix for the reading comprehension section of the Michigan English Language Assessment Battery (MELAB). An initial Q-matrix was first generated based on evidence gathered from related literature, students' think-aloud protocols, and expert ratings. This initial Q-matrix was then validated empirically by applying the fusion model to a large MELAB data set. A well-supported Q-matrix was produced for potential future diagnostic applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI