基于神经网络的认知诊断模型应用研究——以慕课课程信息技术教学应用为例  

Research on Application of Cognitive Diagnostic Model Based on Neural Network:Taking Application of Information Technology in Teaching of MOOC as Example

作　　者：王双 WANG Shuang(Zhejiang Normal University,Jinhua,Zhejiang,China,321004)

机构地区：[1]浙江师范大学,浙江金华321004

出　　处：《中国教育技术装备》2023年第2期26-31,共6页China Educational Technology & Equipment

摘　　要：随着机器学习等技术在教育领域的应用,掌握每个学生的知识状态是智能教育的关键。神经网络可以模拟学生与练习之间的复杂交互,结合神经认知诊断方法,在教学中收集学生答题数据,运用神经网络预测学生学习成绩,进而诊断学生的知识状态,支持教学改进,并针对诊断结果开发一个小型展示系统进行可视化呈现。With the application of technologies such as machine learning in the field of education,mastering the critical state of each student is the key of intelligent education.Neural network can simulate the complex interaction between students and practice.This paper combines with the neural cognitive diagnosis method,collects students answer data in teaching,uses neural network to predict students’performance,and diagnoses students’knowledge status,supports teaching improvement.Based on these work,this paper develops a small display system for visual presentation.

关 键 词：机器学习 神经网络 认知诊断模型 慕课 信息技术教学应用 

分 类 号：G652[文化科学—教育学]