教師資料查詢 | 類別: 期刊論文 | 教師: 鍾孟達MENG-IA CHUNG (瀏覽個人網頁)

標題:A Gibbs sampling algorithm that estimates the Q-matrix for the DINA model
學年108
學期1
出版(發表)日期2019/09/12
作品名稱A Gibbs sampling algorithm that estimates the Q-matrix for the DINA model
作品名稱(其他語言)
著者Mengta Chung
單位
出版者
著錄名稱、卷期、頁數Journal of Mathematical Psychology 93, 102275
摘要Cognitive diagnostic assessment has drawn more attention in recent years, which attempts to evaluate whether an examinee has mastered those cognitive skills or attributes being measured in an assessment. To achieve this objective, a variety of cognitive diagnosis models have been developed. The core element of these models is the Q-matrix, which is a binary matrix that establishes item-to-attribute mapping in an exam. Traditionally, the Q-matrix is fixed and designed by domain experts. However, there are concerns that some domain experts might neglect certain attributes, and that different experts could have different opinions. It is therefore of practical importance to develop an automated method for estimating the attribute-to-item mapping, and the purpose of this study is to develop a Markov Chain Monte Carlo (MCMC) algorithm to estimate the Q-matrix in a Bayesian framework.
關鍵字Q-matrix;DINA;CDM;Bayesian;Gibbs sampler;MCMC
語言英文(美國)
ISSN1096-0880
期刊性質國內
收錄於SSCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
  • 優質教育,產業創新與基礎設施,夥伴關係
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