Automated Test Assembly with Minimum Redundant Questions Based on Bee Algorithm

Vorapon Luantangsrisuk, Pokpong Songmuang, R. Kongkachandra
{"title":"Automated Test Assembly with Minimum Redundant Questions Based on Bee Algorithm","authors":"Vorapon Luantangsrisuk, Pokpong Songmuang, R. Kongkachandra","doi":"10.1109/SITIS.2016.108","DOIUrl":null,"url":null,"abstract":"An ideal test form should contain questions with different level of difficulties and non-redundant questions. This paper proposed an automated test assembly algorithm to minimize the redundant question in a test form based on Bee algorithm. A neighborhood search in Bee algorithm is improved by using a new technique, called Min-SumDistance (MSD). The MSD is the distance of considered question compared to others in the test form. The sum of question pairs distance indicates to the redundant question in the test form. A question content is represented in two forms as an unigram with TF and TF-IDF scores. The experiments using 200 questions from Information Technology Professional Examination(ITPE). To evaluate the performance of MSD method, we count a number of enemy pairs of the test form and compared to the random method. The experimental results show that our proposed algorithm yields the significant numbers of redundant questions.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2016.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

An ideal test form should contain questions with different level of difficulties and non-redundant questions. This paper proposed an automated test assembly algorithm to minimize the redundant question in a test form based on Bee algorithm. A neighborhood search in Bee algorithm is improved by using a new technique, called Min-SumDistance (MSD). The MSD is the distance of considered question compared to others in the test form. The sum of question pairs distance indicates to the redundant question in the test form. A question content is represented in two forms as an unigram with TF and TF-IDF scores. The experiments using 200 questions from Information Technology Professional Examination(ITPE). To evaluate the performance of MSD method, we count a number of enemy pairs of the test form and compared to the random method. The experimental results show that our proposed algorithm yields the significant numbers of redundant questions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Bee算法的最小冗余题自动测试装配
一个理想的考试形式应该包含不同难度的问题和不重复的问题。提出了一种基于Bee算法的自动化试题组装算法,以最小化试题冗余题。采用最小和距离(Min-SumDistance, MSD)技术改进了Bee算法中的邻域搜索。MSD是试题与其他试题之间的距离。题目对距离之和表示试题中是否存在冗余题。题目内容以两种形式表示为TF和TF- idf分数的一元图。实验采用信息技术专业考试(ITPE)中的200道题。为了评估MSD方法的性能,我们统计了测试形式的敌人对的数量,并与随机方法进行了比较。实验结果表明,该算法产生了大量的冗余问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Consensus as a Nash Equilibrium of a Dynamic Game An Ontology-Based Augmented Reality Application Exploring Contextual Data of Cultural Heritage Sites All-in-One Mobile Outdoor Augmented Reality Framework for Cultural Heritage Sites 3D Visual-Based Human Motion Descriptors: A Review Tags and Information Recollection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1