Optimization of computer testing of students: Minimizing the impact of Internet on responses

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH
A. S. Sidorenko
{"title":"Optimization of computer testing of students: Minimizing the impact of Internet on responses","authors":"A. S. Sidorenko","doi":"10.32517/0234-0453-2020-35-5-50-55","DOIUrl":null,"url":null,"abstract":"The purpose of the work described in the article was to study the principles of forming control questions for distance testing of students in LMS Moodle and Blackboard in such a way as to minimize the ability of test takers to use the help of search queries on the Internet. The main trends in the responses of university students are analyzed depending on the types of control questions, their wording and the relationship with the availability of lecture material. The distance electronic testing of 3rd year students of university in the discipline “Physical Culture” revealed that the greatest problems for test takers arise with questions on logic, and not on exact knowledge, the answers to which are easily found in lecture material. It was revealed that the vast majority of students when searching for answers to questions of a time-limited test are guided not by their own knowledge, but by marker words in the question text, which they create their own search queries in the text of the lecture or on the Internet. At the same time, a part of the respondents is clearly distinguished, which does not analyze the information provided, but looks at it rather superficially and tries to choose the one that is closer to the marker word from the possible answers. Based on the research and experience in the LMS environment, the article gives practical recommendations for teachers on the competent creation of control tasks and the effective management of response statistics, which will allow more objective assessment of students’ knowledge in various academic disciplines.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32517/0234-0453-2020-35-5-50-55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of the work described in the article was to study the principles of forming control questions for distance testing of students in LMS Moodle and Blackboard in such a way as to minimize the ability of test takers to use the help of search queries on the Internet. The main trends in the responses of university students are analyzed depending on the types of control questions, their wording and the relationship with the availability of lecture material. The distance electronic testing of 3rd year students of university in the discipline “Physical Culture” revealed that the greatest problems for test takers arise with questions on logic, and not on exact knowledge, the answers to which are easily found in lecture material. It was revealed that the vast majority of students when searching for answers to questions of a time-limited test are guided not by their own knowledge, but by marker words in the question text, which they create their own search queries in the text of the lecture or on the Internet. At the same time, a part of the respondents is clearly distinguished, which does not analyze the information provided, but looks at it rather superficially and tries to choose the one that is closer to the marker word from the possible answers. Based on the research and experience in the LMS environment, the article gives practical recommendations for teachers on the competent creation of control tasks and the effective management of response statistics, which will allow more objective assessment of students’ knowledge in various academic disciplines.
优化学生的电脑测试:尽量减少网络对反应的影响
本文所描述的工作的目的是研究在LMS Moodle和Blackboard中形成学生远程测试控制题的原理,从而最大限度地减少考生使用互联网搜索查询的能力。根据控制问题的类型、措辞以及与讲座材料可得性的关系,分析了大学生回答的主要趋势。对大学三年级“体育”专业学生进行的远程电子测试显示,考生遇到的最大问题是逻辑问题,而不是确切的知识问题,这些问题的答案很容易在课堂材料中找到。据透露,绝大多数学生在搜索限时考试问题的答案时,不是根据自己的知识,而是根据问题文本中的标记词,他们在讲座文本或互联网上创建自己的搜索查询。与此同时,一部分被调查者被明确区分出来,他们不分析所提供的信息,而是很肤浅地看待它,并试图从可能的答案中选择更接近标记词的那个。基于在LMS环境中的研究和经验,本文为教师提供了有效创建控制任务和有效管理响应统计的实用建议,从而可以更客观地评估学生在各个学科的知识。
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 求助全文
来源期刊
Informatics in Education
Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.10
自引率
3.70%
发文量
20
审稿时长
20 weeks
期刊介绍: INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信