EPAC: Examination Paper Automatic Construction Based on K-Means Algorithm

Yuli Song, Feng Hong
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引用次数: 1

Abstract

Constructing examination paper is one of the important parts of teaching process. A good examination paper should meet a lot of specific requirements, like knowledge points, quantities, types and difficulties. So it is a multi-targets optimization problem for constructing examination papers, which is hard to realize automatically. This paper provides the examination paper automatic construction system (EPAC), exploiting K-Means algorithm as its core for multi-targets optimization. And EPAC is realized through the example of Computer Networks, whose performance is confirmed comparing to randomly chosen process.
基于K-Means算法的试卷自动生成
出题是教学过程中的重要环节之一。一份好的试卷应该满足很多具体的要求,比如知识点、数量、类型和难度。因此,成卷是一个多目标优化问题,很难自动实现。本文提出了一种以k -均值算法为核心进行多目标优化的试卷自动建卷系统(EPAC)。并通过计算机网络实例实现了EPAC,通过与随机选择过程的比较,验证了EPAC的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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