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Curtis, Guy J.; McNeill, Margot; Slade, Christine; Tremayne, Kell; Harper, Rowena; Rundle, Kiata; Greenaway, Ruth – Studies in Higher Education, 2022
The highest estimates of the prevalence of commercial contract cheating in Australia come from self-report surveys, which suggest that around 2% of students engage in commercial contract cheating during their higher education studies. However, self-report surveys are limited in that participants under-report socially-undesirable behaviours. In…
Descriptors: Measurement Techniques, Incidence, Cheating, Contracts
Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
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
Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Dawson, Phillip; Sutherland-Smith, Wendy; Ricksen, Mark – Assessment & Evaluation in Higher Education, 2020
Contract cheating happens when students outsource their assessed work to a third party. One approach that has been suggested for improving contract cheating detection is comparing students' assignment submissions with their previous work, the rationale being that changes in style may indicate a piece of work has been written by somebody else. This…
Descriptors: Cheating, Identification, Accuracy, Computer Software
Bayram, Huseyin; Tikman, Fatih – Turkish Online Journal of Distance Education, 2022
This study examined the plagiarism rates of student teachers (hereafter students) during the distance education process and investigated the reasons for plagiarising. Qualitative dominant sequential exploratory design was used. The sample consisted of students studying at two different universities in Turkey. The study group was determined in two…
Descriptors: Student Teachers, Plagiarism, Foreign Countries, Teacher Education Programs
Lancaster, Thomas – International Journal for Educational Integrity, 2020
As the contract cheating market has become more sophisticated and competition has intensified, the contract cheating industry has had to redevelop its approach to gain custom. The industry has developed new models of internal operation and providers are using more sophisticated techniques to reach potential customers. This paper discusses contract…
Descriptors: Contracts, Outsourcing, Cheating, Web Sites
Ison, David C. – Online Learning, 2020
"Contract cheating," instances in which a student enlists someone other than themselves to produce coursework, has been identified as a growing problem within academic integrity literature and in news headlines. The percentage of students who have used this type of cheating has been reported to range between 6% and 15.7%. Generational…
Descriptors: Cheating, Contracts, Language Styles, Computational Linguistics
Newman, Joshua – Teaching Public Administration, 2020
Academic integrity matters are relevant to all areas of university teaching, but they are of particular importance to degree programmes whose graduates intend to work in the public service. While a large body of scholarship exists on academic integrity, very little has been written that specifically relates to students who intend to pursue careers…
Descriptors: Integrity, Public Administration Education, Prevention, Plagiarism
Rogerson, Ann M.; McCarthy, Grace – International Journal for Educational Integrity, 2017
A casual comment by a student alerted the authors to the existence and prevalence of Internet-based paraphrasing tools. A subsequent quick Google search highlighted the broad range and availability of online paraphrasing tools which offer free 'services' to paraphrase large sections of text ranging from sentences, paragraphs, whole articles, book…
Descriptors: Plagiarism, Computer Software, Incidence, Cheating
Medway, Dominic; Roper, Stuart; Gillooly, Leah – British Educational Research Journal, 2018
Contract cheating is currently a concern for universities and the higher education (HE) sector. It has been brought into the spotlight in recent years through the growth of online essay mills, where students can easily commission and purchase written assessment responses. This study contributes to the wider literature on academic integrity in HE…
Descriptors: Cheating, Contracts, College Students, Higher Education
Balbay, Seher; Kilis, Selcan – Contemporary Educational Technology, 2019
This cross-sectional survey study investigates students' perceptions of the effectiveness of Turnitin in detecting plagiarism in academic presentation slides. The data was collected online from 311 students studying at a prominent English-medium instruction university in Turkey. The findings indicated that more than half of them believed in the…
Descriptors: Program Effectiveness, Foreign Countries, Computer Software, Plagiarism
Jones, Michael; Sheridan, Lynnaire – Assessment & Evaluation in Higher Education, 2015
Advances have been made in detecting and deterring the student plagiarism that has accompanied the uptake and development of the internet. Many authors from the late 1990s onwards grappled with plagiarism in the digital age, presenting articles that were provoking and established the foundation for strategies to address cyber plagiarism, including…
Descriptors: Cheating, Plagiarism, Student Behavior, Internet
Rogerson, Ann M. – International Journal for Educational Integrity, 2017
Detecting contract cheating in written submissions can be difficult beyond direct plagiarism detectable via technology. Successfully identifying potential cases of contract cheating in written work such as essays and reports is largely dependent on the experience of assessors and knowledge of student. It is further dependent on their familiarity…
Descriptors: Cheating, Essays, Graduate Students, Integrity