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Alireza Maleki – International Journal of Lifelong Education, 2025
Online learning and assessment have become a major concern for educators in the field of education due to the many challenges they present. The coronavirus lockdown has profoundly affected the instruction and evaluation processes for English as a Foreign Language (EFL) learners. Therefore, this study aims to investigate the perspectives of EFL…
Descriptors: English (Second Language), Language Teachers, Computer Assisted Testing, Barriers
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Kerry Adzima – Electronic Journal of e-Learning, 2025
This study was conducted to compare students' beliefs about the seriousness of cheating behaviors in the physical and online environment and to analyze how these beliefs relate to self-reported cheating behaviors. Given the recent advances of artificial intelligence (AI) and its growing presence in the college classroom, specific emphasis is…
Descriptors: Cheating, Student Attitudes, Student Behavior, In Person Learning
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Julysa A. Benitez; Gary Wingenbach – Journal of Academic Ethics, 2025
Academic dishonesty became more pronounced during the COVID-19 pandemic. We explored university students' motivations to commit academically dishonest acts during the COVID-19 pandemic. Our objectives were to 1) assess students' perceptions of cheating opportunities, 2) evaluate their moral stance on cheating, 3) measure instances of cheating, and…
Descriptors: Cheating, Undergraduate Students, Student Motivation, COVID-19
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Lindsay Mack; Avash Byanjankar – Journal of Academic Ethics, 2025
University students are increasingly utilizing generative artificial intelligence (GenAI) in higher education for various purposes, including generating writing tasks and translating texts. However, many academic integrity statements or student codes of conduct do not include GenAI. This article investigates the university policies towards GenAI…
Descriptors: Foreign Countries, Private Colleges, Higher Education, Artificial Intelligence
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Brady D. Lund; Tae Hee Lee; Nishith Reddy Mannuru; Nikhila Arutla – Journal of Academic Ethics, 2025
The emergence of generative artificial intelligence tools, such as ChatGPT, presents new challenges impacting student perceptions of academic integrity. While extensive research exists on academic misconduct and student perceptions of various infractions, there is limited understanding of how AI tools impact these views and whether their use…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Student Attitudes
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Kong, Eugene H. – Journal of Educators Online, 2023
Letter grading systems in education have been widely accepted as a strong medium to assess the educational performance of students across the world. It has been a successful system for many years because it can motivate students to achieve satisfactory grades in a course. However, recent studies indicate that grades can also foster anxiety and…
Descriptors: Evaluation Methods, Self Evaluation (Individuals), Distance Education, Grading
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Stone, Anna – Journal of Academic Ethics, 2023
Background: Academic integrity (AI) is of increasing importance in higher education. At the same time, students are becoming more consumer-oriented and more inclined to appeal against, or complain about, a penalty imposed for a breach of AI. This combination of factors places pressure on institutions of higher education to handle alleged breaches…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
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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
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Xiong, Yangchun; Pan, Zixuan; Yang, Ling – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The purpose of this study is to explore the correlation between contract cheating and online education in China, which has become a major concern due to the extensive promotion of online education worldwide amid the COVID-19 pandemic. Background: Contract cheating, also known as academic ghostwriting, refers to the act of students…
Descriptors: Foreign Countries, Correlation, Cheating, Online Courses
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Benson, Lyle; Enstroem, Rickard – International Journal for Educational Integrity, 2023
It is well known that students intentionally and unintentionally commit academic misconduct, but how can universities prevent academic misconduct and foster a culture of academic integrity? Based on a literature synthesis, an actionable Model for Preventing Academic Misconduct is presented. The model's basic premise is that students' voluntary…
Descriptors: Prevention, Cheating, Ethics, Business Education
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Hossain, Zakir – International Journal for Educational Integrity, 2022
Academic Integrity Literacy (AIL) is a critical transdisciplinary skill for academic success but many students do not receive this skill in their K-12 years regardless of their schooling system or characteristics of the community they belong to. Numerous research studies in higher education document that high school graduates lack AIL skills, but…
Descriptors: College Freshmen, Integrity, Cheating, Elementary Secondary Education
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Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
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Gülü, Mehmet; Yapici, Hakan – International Journal of Curriculum and Instruction, 2022
The aim of this research was to explore the attitudes of elite athletes towards performance enhancement through banned substances. In this study, survey model, which is one of the quantitative research methods, was used. Purposive sampling method was used in the data collection process. Participants consisted of a sample group of elite athletes (n…
Descriptors: Athletes, Attitudes, Drug Use, Cheating
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Stoesz, Brenda M.; Eaton, Sarah Elaine – Educational Policy, 2022
We examined 45 academic integrity policy documents from 24 publicly-funded universities in Canada's four western provinces using a qualitative research design. We extracted data related to 5 core elements of exemplary academic integrity policy (i.e., access, detail, responsibility, approach, support). Most documents pointed to punitive approaches…
Descriptors: Integrity, Ethics, Educational Policy, Cheating
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Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
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