Research on the Construction of a Student Model of an Adaptive Learning System Based on Cognitive Diagnosis Theory

作     者：Zhao, Yang Fan, Yaqin Yin, Mingrui Fang, Cheng 

作者机构：Jilin Univ Changchun Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China Civil Aviat Univ China Tianjin Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS》 (国际数字犯罪与数字取证杂志)

年 卷 期：2020年第12卷第4期

页      面：20-31页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Adaptive Learning System CD-CAT Student Model 

摘      要：With the promotion of online education, the adaptive learning system has attracted attention due to its good curriculum recommendation function. The student model is an important interface between the adaptive learning system and the user, reflecting the individual characteristics, knowledge status, and cognitive ability of the student. The accuracy of the information in the student model directly affects the quality of the system recommendation service. The traditional student model only judges students based on the basic information and simple test scores. This paper introduces the self-adaptive item bank and adaptive item selection strategy based on the cognitive diagnosis theory that dynamically detects the students knowledge and analyzes the state according to the answering habits and knowledge mastering status of different students. This paper analyzes and contrasts a variety of traditional cognitive diagnosis theories and proposes a mixed cognitive diagnosis question bank and a selection strategy model to provide strong support for the construction of student models.