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R. Harrad; R. Keasley; L. Jefferies – Higher Education Research and Development, 2024
Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…
Descriptors: Integrity, Cheating, College Students, Student Characteristics
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
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
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
Rowena Harper; Felicity Prentice – International Journal for Educational Integrity, 2024
Teaching staff play a pivotal role in the prevention, detection and management of cheating in higher education. They enact curriculum and assessment design strategies, identify and substantiate suspected cases, and are positioned by many as being on the 'front line' of a battle that threatens to undermine the integrity of higher education. Against…
Descriptors: College Faculty, Teacher Attitudes, Cheating, Prevention
Alexander, Katarzyna; Savvidou, Christine; Alexander, Chris – Teaching English with Technology, 2023
Recent developments in AI technologies and the increasing accessibility of AI tools, such as ChatGPT, have raised concerns about academic integrity in higher education. Thus, this research aims to shed light on the challenges faced by English as a Second Language (ESL) lecturers in identifying AI-generated texts, and highlighting the skills and…
Descriptors: Identification, Artificial Intelligence, Writing Assignments, Second Language Learning
Harper, Rowena; Bretag, Tracey; Rundle, Kiata – Higher Education Research and Development, 2021
This article contributes to an emerging body of research on the role of assessment design in the prevention and detection of contract cheating. Drawing on the largest contract cheating dataset gathered to date (see cheatingandassessment.edu.au), this article examines the types of assignments and exams in which students self-reported having engaged…
Descriptors: Cheating, Identification, College Students, College Faculty
Oravec, Jo Ann – Education Policy Analysis Archives, 2022
Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial…
Descriptors: Artificial Intelligence, Bibliometrics, Cheating, Identification
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
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
Dawson, Phillip; Sutherland-Smith, Wendy – Assessment & Evaluation in Higher Education, 2018
Contract cheating is the purchasing of custom-made university assignments with the intention of submitting them. Websites providing contract cheating services often claim this form of cheating is undetectable, and no published research has examined this claim. This paper documents a pilot study where markers were paid to mark a mixture of real…
Descriptors: Cheating, Assignments, Pilot Projects, Undergraduate Students
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José; Sarasty, Mario F.; Ramírez-Gonzalez, Gustavo – International Journal of Educational Technology in Higher Education, 2020
Massive Open Online Massive Open Online Courses (MOOCs) have been transitioning slowly from being completely open and without clear recognition in universities or industry, to private settings through the emergence of Small and Massive Private Online Courses (SPOCs and MPOCs). Courses in these new formats are often for credit and have clear market…
Descriptors: Foreign Countries, Online Courses, Cheating, College Students
Jia, Jiyou; He, Yunfan – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic…
Descriptors: Artificial Intelligence, Supervision, Computer Assisted Testing, Electronic Learning
Trezise, Kelly; Ryan, Tracii; de Barba, Paula; Kennedy, Gregor – Journal of Learning Analytics, 2019
Rural teachers and educators are increasingly called upon to build partnerships with families who use languages other than English in the home (US DOE, 2016). This is equally true for rural schools, where the number of multilingual families is small, and the language and cultural backgrounds of students differs from those of school. This article…
Descriptors: College Students, Cheating, Identification, Learning Analytics
Abd-Elaal, El-Sayed; Gamage, Sithara H. P. W.; Mills, Julie E. – European Journal of Engineering Education, 2022
Authentic writing is an important aspect in education and research. Unfortunately, academic misconduct occurs among students and researchers. Consequently, written articles undergo certain detection measures and most teaching and research institutions use a range of software to detect plagiarism. However, state-of-the-art Automatic Article…
Descriptors: College Faculty, Identification, Computational Linguistics, Computer Software
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