典型文献
An Exercise Collection Auto-Assembling Framework with Knowledge Tracing and Reinforcement Learning
文献摘要：
In educational practice,teachers often need to manually assemble an exercise collection as a class quiz or a homework assignment.A well-assembled exercise collection needs to have the proper difficulty index and discrimination index so that it can better develop students'abilities.In this paper,we propose an exercise collection auto-assembling framework,in which a teacher provides the target values of difficulty and discrimination indices and a qualified exercise collection is automatically assembled.The framework consists of two stages.At the answer prediction stage,a knowledge tracing model is utilized to predict the students'answers to unseen exercises based on their history interaction records.In addition,to better represent the exercises in the model,we propose exercise embeddings and design a pre-training approach.At the collection assembling stage,we propose a deep reinforcement learning model to assemble the required exercise collection effectively.Since the knowledge tracing model in the first stage has different confidences in the predicted answers,it is also taken into account in the objective.Experimental results show the effectiveness and efficiency of the proposed framework.
文献关键词：
中图分类号：
作者姓名：
Tian-Yu Zhao;Man Zeng;Jian-Hua Feng
作者机构：
Department of Computer Science and Technology,Tsinghua University,Beijing 100190,China;Sanfan Chaoyang School Attached to Beijing Normal University,Beijing 100190,China
文献出处：
引用格式：
[1]Tian-Yu Zhao;Man Zeng;Jian-Hua Feng-.An Exercise Collection Auto-Assembling Framework with Knowledge Tracing and Reinforcement Learning)[J].计算机科学技术学报（英文版）,2022(05):1105-1117
A类：
quiz,confidences
B类：
An,Exercise,Collection,Auto,Assembling,Framework,Knowledge,Tracing,Reinforcement,Learning,In,educational,practice,teachers,often,manually,collection,class,homework,assignment,well,assembled,needs,have,proper,difficulty,discrimination,that,can,better,develop,students,abilities,this,paper,assembling,framework,which,provides,target,values,indices,qualified,automatically,consists,two,stages,At,prediction,knowledge,tracing,model,utilized,answers,unseen,exercises,their,history,interaction,records,addition,represent,embeddings,design,training,approach,deep,reinforcement,learning,required,effectively,Since,first,has,different,predicted,also,taken,into,account,objective,Experimental,results,show,effectiveness,efficiency,proposed
AB值：
0.53534
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
