北京师范大学学报（自然科学版）Issue(2)：206-211,6.DOI:10.16360/j.cnki.jbnuns.2015.02.019
基于 BP 神经网络的认知诊断计算机化自适应测验实现
Realizing cognitive diagnostic computerized adaptive testing based on BP neural network
摘要
Abstract
Current neural network-based cognitive diagnosis was altered to realize cognitive diagnostic computerized adaptive testing.Monte Carlo method was used to generate datasets.The BP network was tralned through tralning datasets.Prediction accuracy of tralned network is computed with testing datasets. Such tralned and tested BP networks were used to realize CD-CAT,with maximum likelihood method to estimate knowledge state and posterior weighted kullback leibler (PWKL)information as the item selection strategy.Classification accuracy for respondents was computed and the outcome was found to be desirable.关键词
BP 神经网络/认知诊断/自适应测试Key words
BP neural network/cognitive diagnosis/CAT分类
信息技术与安全科学引用本文复制引用
汪玲玲,陈平,辛涛,衷克定..基于 BP 神经网络的认知诊断计算机化自适应测验实现[J].北京师范大学学报（自然科学版）,2015,(2):206-211,6.基金项目
国家自然科学基金青年科学基金项目(31300862) （31300862）
高等学校博士学科点专项科研基金项目(20130003120002) （20130003120002）
中央高校基本科研业务费专项资金资助(2013YB26) （2013YB26）
国家自然科学基金项目(31371047) （31371047）
