摘要
基于数字孪生的教育效用分析是教育对象(如教育者、学习者、学习素材、学习过程、价值模型、能力评估等)大数据的因果链、价值链的数字分析模型,通过接收来自教育对象的数据而实时演化。可对人的培养过程进行分析、预测、诊断、训练等(即仿真),并将仿真结果反馈给教育对象,从而帮助对教育对象进行培养过程优化和干预决策。
Educational utility analysis based on digital twin is a digital analysis model of the causal chain and value chain of big data for educational objects(such as educators,learners,learning materials,learning process,value model,ability evaluation,etc.),which evolves in real time by receiving data from educational objects.It can analyze,predict,diagnose,train,etc.(i.e.simulation)of the human training process,and feed back the simulation results to the education object,thereby helping the education object to optimize the training process and intervene in decision-making.
作者
赵海波
赵红梅
ZHAO Haibo;ZHAO Hongmei(School of Electronic Commerce,Beijing Open University,Beijing,100098 China)
出处
《科技创新导报》
2021年第21期83-85,共3页
Science and Technology Innovation Herald
基金
“跨境电商海外营销”1+X证书项目成果(项目编号:2020年教职所【2020】257号)。
关键词
数字孪生
教育大数据
教育效用分析
数字分析模型
Digital twin
Education big data
Education utility analysis
Digital analysis model
