Neural Networks Based Attribute Hierarchy Method in Cognitive Diagnosis

摘要：

The neural networks based attribute hierarchy method (NN-AHM) is promoted in this study, it could be applied in cognitive diagnosis. AHM could classify examinees responses into a set of attribute mastery patterns. Very large sample is needed for AHM, and it is hard to describe the examinee master degree for each attribution. The generalized regression neural network is used in this study to estimate the attribute probabilities in small sample to provide information about the examinees attribute-mastery level.

关键词： Attribute hierarchy method neural network psychological measurement cognitive diagnosis

作者: Jun Wang Jiayuan Yu

作者单位: Department of Psychology Nanjing Normal University Nanjing, China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 206-207

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）