摘要
由于新冠疫情的影响,在线教学和考试在全国迅速普及,组卷策略作为考试过程中的重要一环,一直受到广泛重视。针对传统组卷过程中主观因素影响严重的问题,文章提出了一种基于信息熵的在线考试组卷方法,一定程度上降低了命题人组卷过程的主观因素干扰,也为随机组卷过程提供了难度平衡策略。组卷过程和难度系数确定过程均由计算机自动完成,极大地节约了人力和财力,提升了考试过程的工作效率和公平性。文章采用"数据结构"课程组卷为案例描述,所提出的算法对相关系统的设计和实现具有一定的参考意义。
Due to the impact of COVID-19,online teaching and examinations have been rapidly popularized throughout the country.As an important part of the examination process,paper formation strategy has been widely paid attention to.In view of the serious influence of subjective factors in the traditional paper formation process,this paper proposes an online paper formation method based on information entropy,which reduces the interference of subjective factors to some extent,and also provides a difficulty balance strategy for the random paper formation.The paper formation process and the determination of difficulty coefficient are completed automatically by computers,which greatly saves human and financial resources and improves the working efficiency and fairness of examination process.This paper uses the paper formation of"Data Structure"course as an example,and the proposed algorithm has certain reference significance for the design and implementation of relevant systems.
作者
董晓睿
商凯
崔健
邸文华
Dong Xiaorui;Shang Kai;Cui Jian;Di Wenhua(Shengli College of China University of Petroleum,Dongying 257000,China;Shandong Tianyuan Information Technology Co.,Ltd.,Jinan 250100,China)
出处
《江苏科技信息》
2020年第27期71-73,84,共4页
Jiangsu Science and Technology Information
关键词
组卷策略
信息熵
随机组卷
在线考试
paper formation strategy
information entropy
random paper formation
online test
