He Ren|Ningning Xu|Yuxiang Lin|Shumei Zhang|Tao Yang
Remedial Teaching and Learning From a Cognitive Diagnostic Model Perspective: Taking the Data Distribution Characteristics as an Example
Beijing Normal University|Beijing Normal University|University of California, Davis|Beijing Normal University|Beijing Normal University
response big data era trend statistics become indispensable part mathematics education junior high school study pretest posttest developed six attributes sort median average variance weighted average mode data distribution characteristic research used cognitive diagnosis model learn poorly mastered attributes verify whether cognitive diagnosis used targeted intervention improve students abilities effectively one hundred two eighth graders participated experiment divided two groups among intervention materials read experimental group students contained attributes could grasp well contrast reading materials control group nontargeted results study showed following 1 variance weighted average poorly mastered students pretest 2 compared control group average test score experimental group significantly improved 3 terms attributes experimental group students mastery variance weighted average significantly improved pretest control groups mastery based teaching suggestions put forward