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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
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
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, 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
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
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
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
Kashian, Nicole; Cruz, Shannon M.; Jang, Jeong-woo; Silk, Kami J. – Journal of Academic Ethics, 2015
Plagiarism is a prevalent form of academic dishonesty in the undergraduate instructional context. Although students engage in plagiarism with some frequency, instructors often do little to help students understand the significance of plagiarism or to create assignments that reduce its likelihood. This study reports survey, coding, and TurnItIn…
Descriptors: Plagiarism, Cheating, Learning Activities, Ethics
Skaar, Håvard – Literacy, 2015
In recent years, plagiarism has been on the increase across the Western world. This article identifies Internet access as a contributory cause of this trend and addresses the implications of readily available Internet sources for the teaching and assessment of writing in schools. The basis for the article is a previous study showing a wide…
Descriptors: Internet, Plagiarism, Ethics, Cheating
Heckler, Nina C.; Rice, Margaret; Bryan, C. Hobson – Journal of Research on Technology in Education, 2013
Computer technology and the Internet now make plagiarism an easier enterprise. As a result, faculty must be more diligent in their efforts to mitigate the practice of academic integrity, and institutions of higher education must provide the leadership and support to ensure the context for it. This study explored the use of a plagiarism detection…
Descriptors: Computer Software, Writing Evaluation, Plagiarism, Ethics
den Ouden, Hanny; van Wijk, Carel – Business Communication Quarterly, 2011
Students write papers in many of their courses to improve their writing skills and to foster an active attitude toward learning. Every year, they hand in hundreds of papers for teachers to assess. This stream may get polluted in two ways: by simple copying from Internet sources and by the exchange of text fragments between students. These…
Descriptors: Foreign Countries, College Students, Plagiarism, Cheating
Thomas, Ebony Elizabeth; Sassi, Kelly – English Journal, 2011
Today, many students not only access the Internet through desktop and laptop computers at home or at school but also have copious amounts of information at their fingertips via portable devices (e.g., iPods, iPads, netbooks, smartphones). While some teachers welcome the proliferation of portable technologies and easy wireless Internet access, and…
Descriptors: Laptop Computers, Discussion (Teaching Technique), Plagiarism, Classroom Communication
Lee, Daniel E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2009
Regrettably, cheating is widespread on all levels of our educational system. Effective monitoring and judicial review processes that ensure that students who cheat are subjected to appropriate disciplinary action are essential. However, policing is not enough. We must go beyond policing to change the culture of the classroom in ways that…
Descriptors: Discipline, Cheating, Court Litigation, Ethics
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