摘要
难度系数和区分度是衡量试题质量的两个重要参数。如何快速准确地获得试题的难度系数和区分度则是随机组卷考试系统海量题库建设中的一个难点。专门针对海量题库试题的难度系数和区分度提出了一种动态优化模型;该模型借助计算机的快速准确处理能力进行试题的实际难度系数和区分度的计算与优化,为出题者不断完善和优化试题内容提供科学合理的依据,从而提高海量题库命题的自动化和合理化水平。
The dfficulty coefficient and discrimination play important roles in the measurement of the quality of exam questions. But how to quickly and accurately obtain them is significant and difficult during the development of exam questions selected at random on exam system.This paper specially presents a dynamic optimization model about the difficulty coefficient and discrimination of exam questions selected at random.By the computer-based fast and accurate processing capability,it can continuously improve and optimize the difficulty coefficient and discrimination of exam questions,provide scientific and rational reference data for the editor,and thereby raise the automation and rationalization proposition level of questions pool.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第21期246-248,共3页
Computer Engineering and Applications
关键词
考试系统
海量题库
难度系数
区分度
exam system
questions pool
difficulty coefficient
discrimination
