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Almuhanna, Manal – Turkish Online Journal of Educational Technology - TOJET, 2023
The application of electronic assessments (e-assessment) has become inevitable with the expansion of distance education, and learners' perceptions should be considered when designers improve the system to meet their needs and facilitate their acceptance of the system. This mixed descriptive study investigated university students' perceptions about…
Descriptors: Evaluation Methods, Educational Improvement, College Students, Student Experience
Fatma Gezer; Eyyüp Özkamali – International Journal of Psychology and Educational Studies, 2023
This study aimed to examine whether the tendency to cheat and interpersonal cognitive distortions have a predictive effect on the marital satisfaction level of married teachers. The sample of the study consisted of 107 (28.1%) male and 271 (71.9%) female married teachers working in Gaziantep. In the study, a Personal Information Form was used to…
Descriptors: Foreign Countries, Teachers, Spouses, Marital Satisfaction
Robert Louis DeFranco – ProQuest LLC, 2023
Academic dishonesty poses a challenge for the online and campus-based learning environment where technology and assessment at a distance may encourage easy and innovative ways of cheating. The purpose of this quantitative study was to assess campus-based and online students' attitudes and perceptions toward academic dishonesty. Data were collected…
Descriptors: Undergraduate Students, Student Attitudes, Ethics, Integrity
Benjamin Sorenson; Kenneth Hanson – Journal of Chemical Education, 2023
In spring 2020, the chemical education community faced an abrupt transition from in-person to online classes, which also necessitated online assessments. Building upon an existing three-semester study (F17, S19, and F19) using Rasch modeling and classical testing theory to improve in-person multiple choice exams, this study investigates the impact…
Descriptors: Undergraduate Study, Chemistry, COVID-19, Pandemics
Miron, Jennie; McKenzie, Amanda; Eaton, Sarah Elaine; Stoesz, Brenda; Thacker, Emma; Devereaux, Lisa; Persaud, Nira; Steeves, Marcia; Rowbotham, Kate – Canadian Journal of Educational Administration and Policy, 2021
In this article we report findings from a review of universities' academic integrity policies in Ontario, Canada. The research team systematically extracted, reviewed, and evaluated information from policy documents in an effort to understand how these documents described contract cheating in Ontario universities (n = 21). In all, 23 policies were…
Descriptors: Integrity, Ethics, Cheating, Outsourcing
Makridis, Odysseus; Englander, Fred – Journal of Academic Ethics, 2021
This paper considers characteristic views advanced in the past fifteen years that may be considered relatively sympathetic to student practices of cheating on graded assignments or exams. We detect and analyze typical fallacies that are recurrent in articles that promote a revisionist view of cheating as morally permissible. We offer a general,…
Descriptors: Cheating, Ethics, Tests, Assignments
Ashford, Theresa – Journal of Academic Ethics, 2021
Academic integrity (AI) is a complex problem that challenges how we view action, intentions, research, and knowledge production as human agents working with computers. This paper proposes that a productive approach to support AI is found at the nexus of behavioural ethics and a view of hybrid app-human agency. The proposal brings together AI…
Descriptors: Integrity, Cheating, Plagiarism, Technology Uses in Education
Nurdin, Erdawati; MZ, Zubaidah Amir; Nufus, Hayatun; Thakur, Deepti; Shah, Firdous A.; Dube, Rakesh; Wijaya, Tommy Tanu – Malikussaleh Journal of Mathematics Learning, 2021
The COVID-19 outbreak has an impact on the provision of education. One of them is the process of online assessment or examination. Difficulties occur during online exams; weak supervision can increase cheating behavior among students. Generally, teachers or lecturers think about how to prevent this behavior. However, what if they are allowed to…
Descriptors: Mathematics Tests, Computer Assisted Testing, Cheating, Student Attitudes
Mulisa, Feyisa; Ebessa, Asrat Dereb – Cogent Education, 2021
There has been a growing interest in determining whether dishonesty in college can be transferred to the professional workplace. There have been few, yet scarce, studies that focused on the link between college and workplace dishonesty. This review aims to bring into the limelight evidence-based consistency of the links between college and…
Descriptors: Ethics, College Students, Student Behavior, Employees
Sinharay, Sandip – Grantee Submission, 2021
Drasgow, Levine, and Zickar (1996) suggested a statistic based on the Neyman-Pearson lemma (e.g., Lehmann & Romano, 2005, p. 60) for detecting preknowledge on a known set of items. The statistic is a special case of the optimal appropriateness indices of Levine and Drasgow (1988) and is the most powerful statistic for detecting item…
Descriptors: Robustness (Statistics), Hypothesis Testing, Statistics, Test Items
Josh Freeman – Higher Education Policy Institute, 2024
This new Policy Note by HEPI and Kortext explores students' attitudes to AI. Based on a poll of 1,250 students through UCAS, we build a picture of the way students use and view generative AI technologies like ChatGPT and Google Bard. We find that the use of generative AI has become normalised in higher education, but that universities have so far…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Xuandong Zhao – ProQuest LLC, 2024
The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…
Descriptors: Computational Linguistics, Intellectual Property, Artificial Intelligence, Productivity
Jiahui Luo – Assessment & Evaluation in Higher Education, 2024
This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…
Descriptors: Artificial Intelligence, Educational Policy, College Students, Student Evaluation
Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
Kaveh Jalilzadeh; Mojgan Rashtchi; Fatemeh Mirzapour – Language Testing in Asia, 2024
A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…
Descriptors: Cheating, Computer Assisted Testing, Coping, English (Second Language)