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Yongyan Li; Hui Chen; Xiaoling Liu; Simon Wang – Journal of Academic Ethics, 2025
This paper presents a thematic review of the anti-plagiarism instruction of content specialists as reported in a range of articles published in the decade of 2014-2023. A total of 28 articles were identified through systematic searching and a ChatGPT-assisted selection process based on a set of inclusion criteria. Specifically, we aimed to include…
Descriptors: Plagiarism, Educational Research, Artificial Intelligence, Man Machine Systems
Hongming Li; Seiyon Lee; Anthony F. Botelho – International Educational Data Mining Society, 2024
Recent advances in the development of large language models (LLMs) have led to power innovative suites of generative AI tools that are capable of not only simulating human-like-dialogue but also composing more complex artifacts, such as social media posts, essays, and even research articles. While this abstract has been written entirely by a human…
Descriptors: Artificial Intelligence, Natural Language Processing, Academic Language, Writing (Composition)
David Troy – Community College Enterprise, 2025
This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…
Descriptors: Artificial Intelligence, Integrity, Technology Uses in Education, Accountability
Gary D. Fisk – Teaching of Psychology, 2025
Introduction: Recent innovations in generative artificial intelligence (AI) technologies have led to an educational environment in which human authorship cannot be assumed, thereby posing a significant challenge to upholding academic integrity. Statement of the problem: Both humans and AI detection technologies have difficulty distinguishing…
Descriptors: Technology Uses in Education, Writing (Composition), Plagiarism, Identification
Shuguang Wang; Le Qin; Qian Yu – AERA Online Paper Repository, 2024
ChatGPT, a generative, pre-trained transformer gained great attention in various fields, Education included. The authors feel the need to investigate the views of practitioners and researchers regarding this issue. Using the systematic review as the structure of research method, the authors created their criteria, and got 65 papers after applying…
Descriptors: Artificial Intelligence, Metacognition, Plagiarism, Teaching Methods
Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
James G. Caling; Joanna Kyla T. Antonio; Ma. Fe. L. Dimatatac; Mitz D. Sabellano; Victoria Dhane R. Vicencio; Justin M. Prias; John Carlo M. Ramos – Journal of Interdisciplinary Studies in Education, 2025
This study examines how 10 pre-service teachers from a teacher education institution in Manila integrate ChatGPT into their academic tasks and navigate the resulting moral dissonance. Through semistructured interviews, the findings reveal that while ChatGPT is employed for paraphrasing, organizing ideas, information retrieval, and simplifying…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Preservice Teachers
Anson, Chris M. – Composition Studies, 2022
Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…
Descriptors: Plagiarism, Artificial Intelligence, Natural Language Processing, Writing Assignments
Song Yang; Ying Dong; Zhong Gen Yu – International Journal of Information and Communication Technology Education, 2024
AI chatbots, e.g. ChatGPT, are becoming increasingly popular in education as a means to enhance student learning experiences and improve teaching efficiency. This study utilizes NVivo 12 Plus to examine the role of AI chatbots in education, ethical considerations, and sentimental analysis regarding the utilization of ChatGPT in education. ChatGPT…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Ethics
Lancaster, Thomas – Journal of Academic Ethics, 2021
Is academic integrity research presented from a positive integrity standpoint? This paper uses Natural Language Processing (NLP) techniques to explore a data set of 8,507 academic integrity papers published between 1904 and 2019.Two main techniques are used to linguistically examine paper titles: (1) bigram (word pair) analysis and (2) sentiment…
Descriptors: Cheating, Integrity, Natural Language Processing, Educational Research
Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
Debby R. E. Cotton; Peter A. Cotton; J. Reuben Shipway – Innovations in Education and Teaching International, 2024
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…
Descriptors: Integrity, Cheating, Artificial Intelligence, Man Machine Systems
Quincy Q. Wang; Daniel Chang; Shiva Hajian; Michael Pin-Chuan Lin – AERA Online Paper Repository, 2024
An increasing number of students have been adopting AI technology for more personalized learning experiences. This exploratory study investigates the perceptions of 55 undergraduate students regarding the integration of ChatGPT into their learning. Several current perspectives on ChatGPT have focused on academic integrity and its ethical use.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Undergraduate Students
Ehren Helmut Pflugfelder; Joshua Reeves – Journal of Technical Writing and Communication, 2024
The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such…
Descriptors: Technical Writing, Artificial Intelligence, Supervision, Teaching Methods
Jiahui Luo – Assessment & Evaluation in Higher Education, 2024
This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…
Descriptors: Artificial Intelligence, Educational Policy, College Students, Student Evaluation

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