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Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Flom, Jacalyn; Green, Karen; Wallace, Steven – Active Learning in Higher Education, 2023
Cheating in higher education has numerous negative implications, including degrading program reputations, inflating student retention rates, and cultivating poor ethical practices, all of which have implications for what students do in the workplace after graduation. Therefore, by understanding the current student population, Generation Z, it is…
Descriptors: Cheating, Ethics, Student Behavior, Age Groups
Muammer Maral – Journal of Academic Ethics, 2024
This research aimed to identify patterns, intellectual structure, contributions, social interactions, gaps, and future research directions in the field of academic integrity (AI). A bibliometric analysis was conducted with 1406 publications covering the period 1966-2023. The results indicate that there has been significant growth in AI literature…
Descriptors: Integrity, Educational History, Cheating, Plagiarism
Cingillioglu, Ilker – International Journal of Information and Learning Technology, 2023
Purpose: With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach: In this study, a language model…
Descriptors: Artificial Intelligence, Essays, Integrity, Cheating
Oeding, Jill M. – Quarterly Review of Distance Education, 2022
One of the primary findings from this study is the importance of watching the exam proctoring videos for online, remotely proctored exams. Proctors do not need to be experts in academic dishonesty to detect the misconduct. The key to detecting academic dishonesty is to closely monitor the examinee's eyes, know the eyes' position when the examinee…
Descriptors: Prevention, Identification, Cheating, Ethics
Blasius, Jörg; Thiessen, Victor – Sociological Methods & Research, 2021
Identifying illicit behavior in survey research is inherently problematic, since self-reports are untrustworthy. We argue that fraudulent interviewers can, however, be identified through statistical deviance of the distributional parameters of their interviews. We document that a high proportion of the variation in the data is due to the…
Descriptors: Surveys, Interviews, Deception, Cheating
Fendler, Richard J.; Yates, Michael C.; Godbey, Jonathan M. – Journal of Instructional Pedagogies, 2023
This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…
Descriptors: Cheating, Prevention, Multiple Choice Tests, Ethics
Lynch, Joan; Salamonson, Yenna; Glew, Paul; Ramjan, Lucie M. – International Journal for Educational Integrity, 2021
In nursing, expectations of honesty and integrity are clearly stipulated throughout professional standards and codes of conduct, thus the concept of academic integrity has even more impetus in preparing students for graduate practice. However, a disparity between policy and practice misses the opportunity to instil the principles of academic…
Descriptors: College Faculty, Teacher Attitudes, Integrity, Cheating
Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
C. Christine Fair – Journal of College and Character, 2023
The demand for online invigilation programs had dramatically increased due to the expansion of online learning; however, demand was further galvanized by the COVID-19 pandemic. Unfortunately, there are many technical and ethical problems with these programs that cannot be easily mitigated. Notably, they are beset by several inherent racial,…
Descriptors: Evidence, Cheating, COVID-19, Pandemics
Mulholland, Mary-Lee – Journal of College and Character, 2020
With the perceived increase in plagiarism in post-secondary institutions, there has been a simultaneous increase in research and analysis on the issue emerging from multiple fields including education, humanities, social science, business and management, sciences, and the media. The focus of this research ranges from the frequency of cases,…
Descriptors: Plagiarism, Ethics, Moral Issues, Educational Policy
Marshall, Leisa L.; Varnon, Anthony W. – Journal of Academic Administration in Higher Education, 2017
The purpose of this study is to apply corporate fraud fighting methods to develop a framework for fighting academic dishonesty in higher education. The evidence in the literature overwhelmingly supports the existence of academic dishonesty in higher education, with increases in admitted cheating over the past several decades and as many as 80…
Descriptors: Ethics, Cheating, Higher Education, College Students
Ipek, Ziyaeddin Halid; Gözüm, Ali Ibrahim Can; Papadakis, Stamatios; Kallogiannakis, Michail – Educational Process: International Journal, 2023
Background/purpose: ChatGPT is an artificial intelligence program released in November 2022, but even now, many studies have expressed excitement or concern about its introduction into academia and education. While there are many questions to be asked, the current study reviews the literature in order to reveal the potential effects of ChatGPT on…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Benefits
DeMatthews, David E.; Serafini, Amy – Leadership and Policy in Schools, 2021
Cheating and unethical behavior in the context of high-stakes accountability has been well documented. Recently, the US Department of Education found Texas schools failing to comply with the nation's special education law as a result of a state accountability policy. This article examines how a group of principals recognized for their…
Descriptors: Ethics, Principals, Administrator Behavior, Special Education
Lee-Post, Anita; Hapke, Holly – Online Learning, 2017
The primary objective of this paper is to help institutions respond to the stipulation of the Higher Education Opportunity Act of 2008 by adopting cost-effective academic integrity solutions without compromising the convenience and flexibility of online learning. Current user authentication solutions such as user ID and password, security…
Descriptors: Undergraduate Students, Online Courses, Educational Legislation, Federal Legislation
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