International Predictors of Contract Cheating in Higher Education

Author:

Awdry R.ORCID,Ives B.ORCID

Abstract

AbstractPrevalence of contract cheating and outsourcing through organised methods has received interest in research studies aiming to determine the most suitable strategies to reduce the problem. Few studies have presented an international approach or tested which variables could be correlated with contract cheating. As a result, strategies to reduce contract cheating may be founded on data from other countries, or demographics/situations which may not align to variables most strongly connected to engagement in outsourcing. This paper presents the results of a series of statistical analyses aimed at testing which variables were found to be predictors of students’ self-reported formal outsourcing behaviours. The data are derived from an international research study conducted in 22 languages, with higher education students (from Europe, the Americas and Australasia. Analyses found that country and discipline of study as well as the rate at which respondents n = 7806) believed other students to be cheating, were positively correlated to their cheating behaviours. Demographic variables did not show strong statistical significance to predicting contract cheating.

Funder

Deakin University

Publisher

Springer Science and Business Media LLC

Subject

Philosophy,Sociology and Political Science,Arts and Humanities (miscellaneous),Education

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development and Testing of a Test to Measure Unethical Academic Behavior of Students;Вестник практической психологии образования;2024-01-23

2. Challenging cheating in higher education: a review of research and practice;Assessment & Evaluation in Higher Education;2024-01-15

3. Harnessing the benefits of ChatGPT for radiography education: A discussion paper;Radiography;2024-01

4. Is there a glitch in the matrix? Artificial intelligence and management education;Management Learning;2023-12-15

5. How do Generation Z Young People View Academic Ethics?;2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI);2023-11-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3