NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
Peer reviewed Peer reviewed
Direct linkDirect link
Elizabeth Atieno Obura; Peter Imatari Emoit – Africa Education Review, 2024
This article aims to examine the opportunities and challenges of artificial intelligence (AI) in academic writing and research skills. It suggests recommendations that universities can use to develop to enhance the proper use of AI. As many institutions continue to embrace and use AI tools worldwide, questions surrounding its utilisation in the…
Descriptors: Artificial Intelligence, Computer Software, Academic Language, Writing (Composition)
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Leo F. H.; Horban, Yurii; Skachenko, Olena – portal: Libraries and the Academy, 2022
This study explores the role of the Chinese University of Hong Kong (CUHK) Library and the Scientific Library of the Kyiv National University of Culture and Arts (KNUCA) in Ukraine in enhancing academic integrity in the university community. It compares the methods of academic integrity training offered by the libraries of the two universities…
Descriptors: Foreign Countries, Integrity, Ethics, Cheating
Peer reviewed Peer reviewed
Direct linkDirect link
Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
Peer reviewed Peer reviewed
Direct linkDirect link
Rita Gill Singh; Cindy Sing Bik Ngai – Discover Education, 2024
The emergence of ChatGPT, a Generative AI program, has sparked discussions about its teaching and learning value, and concerns about academic integrity in higher education (HE). An extant review of the literature indicates that a scarcity of research exists on GenAI, specifically a synthesis of the official views, guidelines and articles of…
Descriptors: Foreign Countries, Reputation, Institutional Characteristics, Universities
Peer reviewed Peer reviewed
Direct linkDirect link
Sara Cotelli Kureth; Elisabeth Paliot; Suzana Zink – Language Learning in Higher Education, 2025
This article analyses a specific strategy designed to include generative artificial intelligence (GenAI) tools in students' written assignments. While we recognise that GenAI tools represent a challenge for teachers in terms of their classroom use and the development of digital literacy among students, we believe that banning them is not a viable…
Descriptors: Artificial Intelligence, Computer Software, Digital Literacy, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Pàmies, Maria del Mar; Valverde, Mireia; Cross, Christine – Assessment & Evaluation in Higher Education, 2020
This article examines the management of the seemingly ubiquitous problem of plagiarism by students in higher education. An integrated review of the conceptual and empirical literature to date is undertaken in the pursuit of two objectives. First, to provide structure to the scattered knowledge about the topic, which is achieved by developing a…
Descriptors: Plagiarism, Educational Research, College Students, Cheating
Peer reviewed Peer reviewed
Direct linkDirect link
Luck, Jo-Anne; Chugh, Ritesh; Turnbull, Darren; Rytas Pember, Edward – Higher Education Research and Development, 2022
Increasing incidents of academic dishonesty are a problem for universities globally. The traditional approach to dealing with academic dishonesty has been to detect and punish, which may not be the best solution. This study explored the perceptions of sessional teaching staff (a growing but often neglected workforce) on academic integrity and…
Descriptors: Integrity, Cheating, Universities, Teacher Attitudes
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Coughlin, Peter E. – International Journal for Educational Integrity, 2015
Hugely facilitated by the Internet, plagiarism by students threatens educational quality and professional ethics worldwide. Plagiarism reduces learning and is correlated with increased fraud and inefficiency on the job, thus lessening competitiveness and hampering development. In this context, the present research examines 48…
Descriptors: Foreign Countries, Plagiarism, Universities, Graduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
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