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Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
Liao, Manqian; Patton, Jeffrey; Yan, Ray; Jiao, Hong – Measurement: Interdisciplinary Research and Perspectives, 2021
Item harvesters who memorize, record and share test items can jeopardize the validity and fairness of credentialing tests. Item harvesting behaviors are difficult to detect by the existing statistical modeling approaches due to the absence of operational definitions and the idiosyncratic nature of human behaviors. Motivated to detect the…
Descriptors: Data Analysis, Cheating, Identification, Behavior Patterns
Maciej Koscielniak; Jolanta Enko; Agata Gasiorowska – Journal of Academic Ethics, 2024
Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…
Descriptors: Foreign Countries, Students, Ethics, Cheating
Monica Gallant; Pranab Kumar Pani – Journal of Applied Research in Higher Education, 2024
Purpose: The aim of this paper is to explore the behavior pattern, perceptions, and motivations of students towards academic misconduct in a Business School with a view to mitigating its occurrence. Design/methodology/approach: The survey was conducted among a batch of undergraduate students who responded to various dimensions of plagiarism…
Descriptors: Foreign Countries, Undergraduate Students, Business Administration Education, Cheating
Alexander Amigud; Samira Hosseini – Assessment & Evaluation in Higher Education, 2024
This study explores the social nature of learning and discusses its implications for student assessment. To this end, we analyzed a sample of unique first-hand accounts of students seeking help with academic work, relying on the grounded theory approach for the identification of incentives for academic support (n = 807), and used time-series…
Descriptors: Cooperation, Cheating, Help Seeking, Student Behavior
Pell, David J.; Amigud, Alexander – Journal of Academic Ethics, 2023
For over half a century there have been concerns about increases in the occurrence of academic misconduct by higher education students and this is now claimed to have reached crisis proportions (e.g. Mostrous & Kenber, 2016a). This study explores the extent to which multi-national faculty judge the effectiveness of higher education…
Descriptors: Higher Education, College Faculty, Teacher Attitudes, Cheating
Gregorcic, Bor; Pendrill, Ann-Marie – Physics Education, 2023
We present a case study of a conversation between ourselves and an artificial intelligence-based chatbot ChatGPT. We asked the chatbot to respond to a basic physics question that will be familiar to most physics teachers: 'A teddy bear is thrown into the air. What is its acceleration in the highest point?' The chatbot's responses, while…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Scientific Concepts
Owan, Valentine J.; Chuktu, Onyinye; Dijeh, Ann E.; Zaafour, Abderrazak; Ukah, Julius U.; Chukwurah, Magaret U.; Ube, Denis A.; Asuquo, Michael E.; Uwase, Esuong U.; Udida, Udida J.; Ojong, Cyprian O. – Turkish Online Journal of Distance Education, 2023
This study examined the degree to which students indulge in six prominent misconducts in Distance Education Institutions (DEIs). The study also quantified how class size, instructional delivery and institutional policies predict students' indulgence in sharp practices using a general linear modelling approach. A sample of 871 participants was…
Descriptors: Distance Education, Foreign Countries, Cheating, Student Behavior
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
Miloš Boškovic – Center for Educational Policy Studies Journal, 2023
This paper argues that legislative intervention rather than deontological rules could be an adequate tool to address academic integrity concerns, particularly in civil law jurisdictions, which is the case in the majority of European countries. The recently enacted Montenegrin law on academic integrity offers a promising foundation for developing…
Descriptors: Integrity, Cheating, Educational Legislation, Laws
Reddy, Leelakrishna; Letswalo, Machaba Leanyatsa; Sefage, Amanda Percy; Kheswa, Bonginkosi Vincent; Balakrishna, Avula; Changundega, Jesman Moreblessing; Mvelase, Mashinga Johannes; Kheswa, Khayelihle Allen; Majola, Siyabonga Ntokozo Thandoluhle; Mathe, Themba; Seakamela, Teffo; Nemakhavhani, Thendo Emmanuel – Pedagogical Research, 2022
Integrity and quality of assessments on the online platform should be upheld to ensure that it supports student learning as well as the efficacy of teaching because in the end it measures the reputation of an institution. How institutions have traversed such domains remains a grey area. This paper provides anecdotal insights into how staff from a…
Descriptors: Computer Assisted Testing, Cheating, Foreign Countries, College Faculty
Mattar, Mohamed Y. – Journal of Academic Ethics, 2022
Academic institutions aim at achieving the highest standards of education and learning. Consequently, they prohibit academic corruption such as cheating or plagiarism. This article examines how international accreditation and quality assurance standards embody academic integrity as a main factor in deciding whether an academic institution should…
Descriptors: Integrity, Accreditation (Institutions), Foreign Countries, Cheating
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Peng, Luyao; Sinharay, Sandip – Educational and Psychological Measurement, 2022
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of…
Descriptors: Cheating, Identification, Statistical Analysis, Testing
Khan, Zeenath Reza – International Journal for Educational Integrity, 2022
When considering a paradigm shift in higher education, it is imperative to focus on removing obstacles against maintaining integrity in academia. One such obstacle is contract cheating sites that have mushroomed disproportionately during the 18 months of emergency distance learning threatening graduate quality and university reputations (McKie,…
Descriptors: Foreign Countries, Cheating, Web Sites, Identification
Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris – Journal of Computer Assisted Learning, 2022
Background: Online and blended learning need an appropriate assessment strategy which ensures academic integrity. During the pandemic, many universities have chosen for online proctoring. Although some earlier examples suggest that online proctoring may reduce cheating, the potential side-effects of proctoring are largely unknown. Objectives:…
Descriptors: Supervision, Computer Assisted Testing, Integrity, Cheating