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Showing 1 to 15 of 25 results Save | Export
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James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
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Lisa Otto – Africa Education Review, 2024
ChatGPT has been on the lips and minds of academics and students alike since the launch of the generative technology in November 2022. Students have made use of it and academic institutions have debated how to respond to its use, variously either banning it outright or arguing that there should be a place for such technologies in our teaching and…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Editorial Projects in Education, 2024
Addressing academic integrity in the age of AI is essential to ensure honesty and student success. This Spotlight will help you learn about how educators nationwide are approaching AI in teaching and learning; review data investigating how many students are actually using AI to cheat; examine strategies teachers are using to fight AI cheating;…
Descriptors: Integrity, Artificial Intelligence, Teaching Methods, Computer Software
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Md. Mahadhi Hasan; Anika Sikder; Rashed Mahmud – Language Teaching Research Quarterly, 2025
Some serious instances of plagiarism have been discussed in Bangladesh's institutions, where students, researchers, and even faculty members were given severe penalties. This study explores the factors influencing teachers of English at the tertiary level in Bangladesh regarding plagiarism, including emerging concerns around AI-based plagiarism. A…
Descriptors: Language Teachers, English (Second Language), Second Language Learning, Second Language Instruction
Ji Eun Lee; Unkyoung Maeng – Journal of Pan-Pacific Association of Applied Linguistics, 2023
This study explored high school students' perceptions of using AI chatbots in English learning. Specifically, it aimed to gauge the breadth of chatbot utilization and discern perceptions surrounding potential challenges linked to their use. Thirty students from a high school took part in the survey. Data analysis involved frequency, mean and an…
Descriptors: Ethics, Student Attitudes, High School Students, Artificial Intelligence
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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
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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
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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
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Dinneen, Cara – English Australia Journal, 2021
This article considers the challenges heralded by digital technology in relation to the management of academic integrity on high-stakes Direct Entry English Programs in Australia. Firstly, a number of the ways in which students are using digital tools to complete assignment writing are examined. Secondly, findings from a review of academic…
Descriptors: Phrase Structure, Integrity, Barriers, Information Technology
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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
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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
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Kaktinš, Louise – Ethics and Education, 2019
Australian universities are grappling with the challenge of plagiarism among students, particularly international students, with a reliance on software such as Turnitin. Measuring plagiarism in this way has limitations, with consequences for the internalisation of academic integrity by international students. An appraisal of such software…
Descriptors: Computer Software, Computational Linguistics, Writing Evaluation, Cheating
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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
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Anney, Vicent Naano; Mosha, Mary Atanas – Journal of Education and Practice, 2015
This study investigated students' plagiarism practices in Tanzania higher learning institutions by involving two universities-one public and one private university as a case study. The universities involved have honour code and policies for plagiarism detection however they do not employ software for checking students' plagiarism. The study…
Descriptors: Plagiarism, Case Studies, Internet, Cheating
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Mellar, Harvey; Peytcheva-Forsyth, Roumiana; Kocdar, Serpil; Karadeniz, Abdulkadir; Yovkova, Blagovesna – International Journal for Educational Integrity, 2018
Student authentication and authorship checking systems are intended to help teachers address cheating and plagiarism. This study set out to investigate higher education teachers' perceptions of the prevalence and types of cheating in their courses with a focus on the possible changes that might come about as a result of an increased use of…
Descriptors: Cheating, Incidence, Integrity, Computer Software
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