Cheating and plagiarism in higher education institutions (HEIs): A literature review.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2024-09-26 eCollection Date: 2024-01-01 DOI:10.12688/f1000research.147140.2
Md Sozon, Omar Hamdan Mohammad Alkharabsheh, Pok Wei Fong, Sia Bee Chuan
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引用次数: 0

Abstract

Cheating and plagiarism have become serious problems in higher education institutions (HEIs). It affects educational quality as well as the reputation of higher education. The purpose of this study is to identify the most prevalent types of cheating and plagiarism, as well as the elements that contribute to cheating and plagiarism, and to present solutions to this recurring problem. This paper systematically reviews 45 articles published from 2018, to 2022, aligned with the PRISMA guidelines in the selection, filtering, and reporting of the papers. This review shows that factors such as increased pressure on students, poor academic integrity awareness, lack of up-to-date academic honor codes, and the unethical application of AI tools are prime contributing factors to cheating and plagiarism in HEIs. In a broader sense, all these factors are classified as individual, social, cultural, institutional, and technological factors that are responsible for this problem. This problem can be reduced by establishing ethical and moral development tutorials as well as formulating up-to-date honor codes considering AI tools. Furthermore, higher education institutions must develop anti-plagiarism detection software in order to detect plagiarism and aid students in improving academic writing and paraphrasing approaches. The findings of this systematic literature review provide useful insights for educators and policymakers to solve the complicated issue of cheating and plagiarism in higher education institutions.

高等教育机构(HEIs)中的作弊和剽窃行为:文献综述。
作弊和剽窃已成为高等教育机构(HEIs)中的严重问题。它影响了教育质量和高等教育的声誉。本研究旨在确定最普遍的作弊和剽窃类型,以及导致作弊和剽窃的因素,并针对这一反复出现的问题提出解决方案。本文系统回顾了2018年至2022年发表的45篇文章,在论文的选择、筛选和报告方面均符合PRISMA指南。综述显示,学生压力增大、学术诚信意识淡薄、缺乏最新的学术荣誉准则以及人工智能工具的不道德应用等因素是高校作弊和剽窃的主要诱因。从广义上讲,所有这些因素可归类为造成这一问题的个人、社会、文化、机构和技术因素。可以通过建立伦理和道德发展教程以及制定考虑到人工智能工具的最新荣誉守则来减少这一问题。此外,高等教育机构必须开发反抄袭检测软件,以检测抄袭行为,帮助学生改进学术写作和转述方法。本系统性文献综述的研究结果为教育工作者和政策制定者解决高等教育机构中复杂的作弊和抄袭问题提供了有益的启示。
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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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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