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Amigud, Alexander; Pell, David J. – Assessment & Evaluation in Higher Education, 2021
This study examines circumstances when academic integrity rules may not apply. To this end, we conducted a multinational survey of teaching, research, administrative and support staff (N = 79). The results suggest that exemptions may be granted on compassionate grounds such as personal welfare, situations where institutional policies are perceived…
Descriptors: Integrity, Cheating, Teacher Attitudes, Teacher Surveys
Mathrani, Anuradha; Han, Binglan; Mathrani, Sanjay; Jha, Meena; Scogings, Chris – International Journal for Educational Integrity, 2021
Educational institutions rely on academic citizenship behaviors to construct knowledge in a responsible manner. However, they often struggle to contain the unlawful reuse of knowledge (or academic citizenship transgressions) by some learning communities. This study draws upon secondary data from two televised episodes describing contract cheating…
Descriptors: Integrity, Cheating, Incidence, Communities of Practice
Eaton, Sarah Elaine – Online Submission, 2021
Purpose: The goal of this session is to provide an in-depth account of the history and development of contract cheating in Canada over the past 50+ years. You will also learn about the one and only (failed) attempt at legislation to make ghostwritten essays and exams illegal in Canada. Method: The content of this session is drawn from Eaton's book…
Descriptors: Foreign Countries, Cheating, Contracts, Outsourcing
Mengzhou Li; Lei Luo; Sujoy Sikdar; Navid Ibtehaj Nizam; Shan Gao; Hongming Shan; Melanie Kruger; Uwe Kruger; Hisham Mohamed; Lirong Xia; Ge Wang – npj Science of Learning, 2021
Online education is important in the COVID-19 pandemic, but online exam at individual homes invites students to cheat in various ways, especially collusion. While physical proctoring is impossible during social distancing, online proctoring is costly, compromises privacy, and can lead to prevailing collusion. Here we develop an optimization-based…
Descriptors: Electronic Learning, COVID-19, Pandemics, Computer Assisted Testing
Raymon Pomoy Española; Jerome A. Ouano – Malaysian Journal of Learning and Instruction, 2024
Purpose: Flexible learning is a delivery modality associated with positive outcomes, but its use at the height of the COVID-19 pandemic has been associated with dark student experiences, such as poor interest and dishonesty among students. To understand how and why many tertiary students lost their motivation and became disengaged in pandemic-era…
Descriptors: Postsecondary Education, Student Behavior, Ethics, Student Motivation
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Daniel Kangwa; Mgambi Msambwa Msafiri; Xiulan Wan; Antony Fute – Social Psychology of Education: An International Journal, 2024
Online and computer-assisted learning have become widespread in the rapidly evolving education landscape. However, these learning modalities uniquely challenge academic integrity, escalating the potential for academic cheating. This systematic review used thematic and narrative syntheses to examine the relationships and the effects of self-doubt…
Descriptors: Self Esteem, Self Concept, Self Management, Influences
Malcolm Tight – Assessment & Evaluation in Higher Education, 2024
This article presents a literature review of published research focused on challenging cheating in higher education. A brief overview of the literature on cheating in higher education is offered, showing the global interest in the topic, the varied ways in which it has been defined, and evidence on its incidence and causes. The range of methods…
Descriptors: Cheating, Higher Education, Global Approach, Discipline Problems
Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Alexander Stanoyevitch – Discover Education, 2024
Online education, while not a new phenomenon, underwent a monumental shift during the COVID-19 pandemic, pushing educators and students alike into the uncharted waters of full-time digital learning. With this shift came renewed concerns about the integrity of online assessments. Amidst a landscape rapidly being reshaped by online exam/homework…
Descriptors: Computer Assisted Testing, Student Evaluation, Artificial Intelligence, Electronic Learning
Kadayam Guruswami, Gomathi; Mumtaz, Sabiha; Gopakumar, Aji; Khan, Engila; Abdullah, Fatima; Parahoo, Sanjai K. – Journal of Academic Ethics, 2023
A high level of professional integrity is expected from healthcare professionals, and literature suggests a relationship between unethical behavior of healthcare professionals and poor academic integrity behavior at medical school. While academic integrity is well researched in western countries, it is not so in the Middle East, which is…
Descriptors: Integrity, Allied Health Personnel, Allied Health Occupations Education, Student Behavior
Vellanki, Surya Subrahmanyam; Mond, Saadat; Khan, Zahid Kamran – TESL-EJ, 2023
The hasty adoption of remote teaching (RT) by educational institutes in response to the COVID-19 pandemic has drastically impacted teaching, learning, and assessment. With most institutes unprepared for sudden lockdowns, and many educators lacking online teaching and assessment experience, old methods of assessment continued to be used, at least…
Descriptors: Computer Assisted Testing, Student Evaluation, English (Second Language), Language Teachers
McNair, Delores E.; Oye, William N. – New Directions for Community Colleges, 2018
College officials across the United States struggle with how to prevent and effectively respond to incidents of academic dishonesty. In this chapter, we propose alternative practices that support student development and learning.
Descriptors: Cheating, Prevention, College Students, Discipline
Schultz, Madeleine; Lim, Kieran F.; Goh, Yoong Kuan; Callahan, Damien L. – Assessment & Evaluation in Higher Education, 2022
Restrictions on movement during the COVID-19 pandemic led to assessment being conducted online, which gave students opportunities to use internet search engines during examinations. We found that in some cases internet searches resulted in characteristic incorrect responses, and around one third of students entered these answers to examination…
Descriptors: Student Characteristics, Online Searching, Internet, Chemistry
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention

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