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Showing 1 to 15 of 18 results Save | Export
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Nicholas R. Werse; Joshua Caleb Smith – Impacting Education: Journal on Transforming Professional Practice, 2025
In this article, the authors explore the concerns surrounding academic dishonesty related to generative artificial intelligence (GAI). The authors argue that while there are valid worries about students using GAI in ways the displace student work, these anxieties are not new and have been observed with previous disruptive technologies such as the…
Descriptors: Cheating, Artificial Intelligence, Anxiety, Teacher Role
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Birks, Daniel; Clare, Joseph – International Journal for Educational Integrity, 2023
This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…
Descriptors: Artificial Intelligence, Cheating, Student Behavior, Prevention
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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
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Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
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Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
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Thuy Nhu Thi Nguyen; Nam Van Lai; Quyet Thi Nguyen – Educational Process: International Journal, 2024
Background/purpose: The integration of ChatGPT at Ho Chi Minh City University of Technology and Education (HCMUTE) aims to transform teaching and learning dynamics. This research evaluates ChatGPT's impact on student learning behaviors, exploring its potential to enhance educational outcomes while addressing ethical concerns. Materials/methods: A…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Gerd Kortemeyer; Wolfgang Bauer – Physical Review Physics Education Research, 2024
As a result of the pandemic, many physics courses moved online. Alongside, the popularity of Internet-based problem-solving sites and forums rose. With the emergence of large language models, another shift occurred. One year into the public availability of these models, how has online help-seeking behavior among introductory physics students…
Descriptors: Web Sites, Cheating, Artificial Intelligence, Electronic Learning
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Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education
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Madison A. Pollino; Elliot A. Powell; Melissa L. McCormick – Communication Teacher, 2025
This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to…
Descriptors: Artificial Intelligence, Natural Language Processing, Public Speaking, Technology Uses in Education
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Ngo Cong-Lem; Tin Nghi Tran; Tat Thang Nguyen – Teaching English with Technology, 2024
This study examines the perceptions and responses of Vietnamese teachers of English as a Foreign Language (EFL) to academic integrity concerns that arise from the use of AI, specifically chatbots like ChatGPT, in foreign language education. The study employed an open-ended survey to collect data from 31 Vietnamese EFL teachers who were asked to…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Second Language Instruction
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Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
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Zhuo Wang; Zhaoyi Yin; Ying Zheng; Xuehui Li; Li Zhang – Educational Technology & Society, 2025
As AI technologies like GPT models continue to reshape various aspects of society, it is imperative to investigate the perceptions and ethical considerations of graduate students regarding GPT's use in academic settings. This mixed-method exploratory study engaged 21 graduate students through surveys and focus group interviews. The findings…
Descriptors: Graduate Students, Graduate Study, Student Behavior, Ethics
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Paula Lentz – Business and Professional Communication Quarterly, 2024
This article argues that ethical authorship is essential for the ethical use of artificial intelligence (AI). It examines tensions that historical understandings of authorship have created as instructors and students alike navigate AI technologies. Given these tensions, this article proposes a definition of "ethical authorship" and uses…
Descriptors: Ethics, Artificial Intelligence, Moral Values, Authors
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Pasty Asamoah; Daniel Zokpe; Richard Boateng; John Serbe Marfo; Sheena Lovia Boateng; David Asamoah; Abdul Samed Muntaka; John Frimpong Manso – Cogent Education, 2024
The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on…
Descriptors: Artificial Intelligence, Ethics, Intellectual Disciplines, Knowledge Level
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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
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