New development of cognitive diagnosis models
作者:Yingjie Liu, Tiancheng Zhang, Xuecen Wang, Ge Yu, Tao Li
摘要
Cognitive diagnosis is the judgment of the student’s cognitive ability, is a wide-spread concern in educational science. The cognitive diagnosis model (CDM) is an essential method to realize cognitive diagnosis measurement. This paper presents new research on the cognitive diagnosis model and introduces four individual aspects of probability-based CDM and deep learning-based CDM. These four aspects are higherorder latent trait, polytomous responses, polytomous attributes, and multilevel latent traits. The paper also sorts on the contained ideas, model structures and respective characteristics, and provides direction for developing cognitive diagnosis in the future.
论文关键词:higher-order latent traits, polytomous responses, polytomous attributes, multilevel latent traits, cognitive diagnosis
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论文官网地址:https://doi.org/10.1007/s11704-022-1128-3