Publication Date
| In 2026 | 0 |
| Since 2025 | 31 |
| Since 2022 (last 5 years) | 78 |
| Since 2017 (last 10 years) | 106 |
| Since 2007 (last 20 years) | 126 |
Descriptor
| Computer Software | 138 |
| Integrity | 138 |
| Plagiarism | 62 |
| Cheating | 59 |
| Artificial Intelligence | 57 |
| Ethics | 55 |
| Foreign Countries | 47 |
| Teaching Methods | 41 |
| Higher Education | 31 |
| College Students | 30 |
| Student Attitudes | 30 |
| More ▼ | |
Source
Author
| Crossman, Katherine | 2 |
| Dawson, Phillip | 2 |
| Eaton, Sarah Elaine | 2 |
| Elkhatat, Ahmed M. | 2 |
| Gyeonggeon Lee | 2 |
| Hamilton, Margaret | 2 |
| Kaktinš, Louise | 2 |
| Maurer, Karsten | 2 |
| Min Li | 2 |
| Rogerson, Ann M. | 2 |
| Sutherland-Smith, Wendy | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| Australia | 9 |
| United Kingdom | 6 |
| Canada | 5 |
| Hong Kong | 4 |
| China | 3 |
| Turkey | 3 |
| United States | 3 |
| Greece | 2 |
| India | 2 |
| Israel | 2 |
| Spain | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Flesch Kincaid Grade Level… | 1 |
What Works Clearinghouse Rating
Liles, Lee-Ann A. – Voices in Education, 2019
This article explores the increase in plagiarism commensurate with the accessibility of academic sources via technology in the 21st century. The author addresses the responsibility of higher education in implementing academic integrity policies and programmes to create cohesive and informative practices.
Descriptors: Plagiarism, Higher Education, Internet, Information Sources
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
Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Ahmed Alkaabi; Asma Abdallah; Shamma Alblooshi; Fatima Alomari; Sara Alneaimi – Journal of Education and e-Learning Research, 2025
This study examines the opportunities and challenges of employing ChatGPT in higher education, identifies essential user competencies, and evaluates its impact in the absence of formal policy guidelines. A qualitative case study design involved interviews with 10 faculty members and 10 students at a federal university in the United Arab Emirates.…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Higher Education
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
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
Yiwen Li – Studies in Applied Linguistics & TESOL, 2024
In the realm of language acquisition, the integration of Artificial Intelligence (AI) presents a promising frontier. However, gaps exist in understanding the practical application of AI-driven tools, particularly in second language learning contexts. This study delves into the usability of ChatGPT, an advanced AI language model, within the domain…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Learning Processes
Dararat Khampusaen – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study investigates the impact of ChatGPT on EFL students' argumentative writing development of 30 third-year English majors. The research examines writing quality improvements, student perceptions, and patterns of AI tool usage across a 16-week period. This study employed a mixed-methods design to investigate both students' writing…
Descriptors: Integrity, Essays, Persuasive Discourse, Artificial Intelligence
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
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
C. Christine Fair – Journal of College and Character, 2023
The demand for online invigilation programs had dramatically increased due to the expansion of online learning; however, demand was further galvanized by the COVID-19 pandemic. Unfortunately, there are many technical and ethical problems with these programs that cannot be easily mitigated. Notably, they are beset by several inherent racial,…
Descriptors: Evidence, Cheating, COVID-19, Pandemics
Will Miller – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
In the ever-evolving domain of higher education, the introduction of artificial intelligence (AI) marks a pivotal moment, promising to redefine the essence of academic assessment. This evolution brings with it a surge of potential to streamline and enrich assessment methodologies, yet it simultaneously ushers in a period of uncertainty and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Computer Software
Alma S. Espartinez – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This paper investigates the integration of ChatGPT in Philippine higher education institutions (HEIs). It explores whether ChatGPT bridges or deepens educational divides, particularly in the context of the urban-rural gap, ethical concerns, and cultural resistance to technological change. Background: Focusing on Philippine HEIs, the…
Descriptors: Foreign Countries, Rural Urban Differences, Ethics, Guidelines
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
Eaton, Sarah Elaine; Crossman, Katherine; Behjat, Laleh; Yates, Robin Michael; Fear, Elise; Trifkovic, Milana – Journal of Academic Ethics, 2020
This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…
Descriptors: Computer Software, Plagiarism, College Students, Engineering Education

Peer reviewed
Direct link
