Knowledge control in informatics in military and civilian universities

N. F. Grigoriev, S. Onishchuk
{"title":"Knowledge control in informatics in military and civilian universities","authors":"N. F. Grigoriev, S. Onishchuk","doi":"10.32517/0234-0453-2023-38-2-75-83","DOIUrl":null,"url":null,"abstract":"The article provides a comparative analysis of the results of learning control in higher military and civilian universities. The analysis and comparison of control methods of testing were used. It was found that even the simplest paper-based tests allow effective comparative assessment of knowledge and provide a much deeper differentiation of knowledge assessment than the five-point grading system.The cheapness and efficiency of the test used at Krasnodar Air Force Institute for Pilots are achieved by dividing it into three parts: a questionnaire, a response sheet, and a test stencil. The questionnaire is a reusable document, and the response sheet is small in size.The use of basic Microsoft Office programs in the test showed that the mastery of these programs among students is increasing year by year. It turned out that the mastery of these programs depends little on the main process of learning.When checking the knowledge in the field of computer science, the primary testing is basic. But in general, the control of residual knowledge with the help of testing can objectively establish the effectiveness of teaching any subject.The article conducted a mathematical analysis of the test results and plotted probability density plots, which were approximated by a smooth mathematical function. This clear view of the distribution of the indicator leads to an understanding of how well the knowledge is learned by students.","PeriodicalId":277237,"journal":{"name":"Informatics and education","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics and education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32517/0234-0453-2023-38-2-75-83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The article provides a comparative analysis of the results of learning control in higher military and civilian universities. The analysis and comparison of control methods of testing were used. It was found that even the simplest paper-based tests allow effective comparative assessment of knowledge and provide a much deeper differentiation of knowledge assessment than the five-point grading system.The cheapness and efficiency of the test used at Krasnodar Air Force Institute for Pilots are achieved by dividing it into three parts: a questionnaire, a response sheet, and a test stencil. The questionnaire is a reusable document, and the response sheet is small in size.The use of basic Microsoft Office programs in the test showed that the mastery of these programs among students is increasing year by year. It turned out that the mastery of these programs depends little on the main process of learning.When checking the knowledge in the field of computer science, the primary testing is basic. But in general, the control of residual knowledge with the help of testing can objectively establish the effectiveness of teaching any subject.The article conducted a mathematical analysis of the test results and plotted probability density plots, which were approximated by a smooth mathematical function. This clear view of the distribution of the indicator leads to an understanding of how well the knowledge is learned by students.
军民高校信息学的知识控制
本文对军事高等院校和民用高等院校的学习控制效果进行了比较分析。对试验控制方法进行了分析比较。研究发现,即使是最简单的纸质考试也能有效地对知识进行比较评估,并提供比五分制更深层次的知识评估差异。在克拉斯诺达尔空军飞行员学院使用的测试既便宜又高效,它被分为三个部分:问卷,答题卡和测试模板。问卷是一份可重复使用的文件,答卷也很小。测试中对微软Office基本软件的使用情况表明,学生对这些软件的掌握程度逐年提高。事实证明,对这些程序的掌握几乎不依赖于学习的主要过程。在检查计算机科学领域的知识时,初级测试是基础测试。但总的来说,借助测试对剩余知识进行控制,可以客观地确立任何学科教学的有效性。本文对试验结果进行了数学分析,绘制了概率密度图,用光滑数学函数逼近。这种对指标分布的清晰认识有助于了解学生对知识的了解程度。
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
自引率
0.00%
发文量
0
×
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