A Deterministic Learning Algorithm Estimating the Q-Matrix for Cognitive Diagnosis Models
學年 110
學期 1
出版（發表）日期 2021-11-28
作品名稱 A Deterministic Learning Algorithm Estimating the Q-Matrix for Cognitive Diagnosis Models
作品名稱（其他語言）
著者 Chung, M.-T.; Chen, S.-L.
單位
出版者
著錄名稱、卷期、頁數 Mathematics 9(23), p.3062
摘要 The goal of an exam in cognitive diagnostic assessment is to uncover whether an examinee has mastered certain attributes. Different cognitive diagnosis models (CDMs) have been developed for this purpose. The core of these CDMs is the Q-matrix, which is an item-to-attribute mapping, traditionally designed by domain experts. An expert designed Q-matrix is not without issues. For example, domain experts might neglect some attributes or have different opinions about the inclusion of some entries in the Q-matrix. It is therefore of practical importance to develop an automated method to estimate the Q-matrix. This research proposes a deterministic learning algorithm for estimating the Q-matrix. To obtain a sensible binary Q-matrix, a dichotomizing method is also devised. Results from the simulation study shows that the proposed method for estimating the Q-matrix is useful. The empirical study analyzes the ECPE data. The estimated Q-matrix is compared with the expert-designed one. All analyses in this research are carried out in R.
關鍵字 Q-matrix;DINA;RRUM;CDM
語言 en
ISSN 2227-7390
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者 Meng-Ta Chung
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/122206 )

SDGS 優質教育