摘要
利用DINA模型(Deterministic inputs,noisy and gate model)对PISA2015中国学生科学素养数据进行建模,使用贝叶斯MCMC算法实现对缺失数据的自动填补和模型参数的估计。
DINA model(Deterministic inputs,noisy and gate model)is used to establish the model with PISA2015 Chinese student scientific literacy data.We apply Bayesian MCMC algorithm to automatically fill the missing data and estimate the model parameters.
作者
张笑笑
单娜
ZHANG Xiaoxiao;SHAN Na(School of Mathematics and Statistics, Changchun University of Technology, Changchun 130012, China;School of Psychology, Northeast Normal University, Changchun 130024, China)
出处
《长春工业大学学报》
CAS
2021年第6期510-515,共6页
Journal of Changchun University of Technology
基金
国家自然科学基金项目(11871013)。
关键词
认知诊断
DINA模型
PISA
科学素养
cognitive diagnosis
DINA model
PISA(Programme for International Student Assessment)
scientific literacy
