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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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Pasty Asamoah; John Serbe Marfo; Matilda Kokui Owusu-Bio; Daniel Zokpe – Education and Information Technologies, 2024
In this brief we shift the current academic integrity conversation from "detecting and preventing plagiarism" to "examining how plagiarized contents can be corrected with an objective knowledge of the number of words to modify and properly acknowledged". We proposed a simple, yet useful and powerful mathematical model that is…
Descriptors: Error Correction, Plagiarism, Integrity, Prevention
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Rick Somers; Sam Cunningham; Sarah Dart; Sheona Thomson; Caslon Chua; Edmund Pickering – IEEE Transactions on Learning Technologies, 2024
Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…
Descriptors: Assignments, Automation, Identification, Technology Uses in Education
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Xu, Yujun; Li, Wenlong – Journal of Academic Ethics, 2023
This paper provides a systematic and critical review of the existing literature on the phenomenon of 'commercial contract cheating' (CCC). Unlike some existing systematic reviews generally on CCC, this paper focuses on the potential causes and suggested preventative measures specifically, intending to develop effective interventions on the basis…
Descriptors: Prevention, Cheating, Contracts, Outsourcing
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Simon Turner – Research Evaluation, 2025
The pandemic represented a context where rapid changes to planning, organization and service delivery were undertaken to respond to an urgent and life-threatening health system problem. There was intense interest in knowledge mobilization--mechanisms that allow the timely sharing of evidence with the aim of supporting improvement--to mitigate the…
Descriptors: Communities of Practice, COVID-19, Pandemics, Public Health
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Bor Luen Tang – Research Ethics, 2024
Scientific research is supposed to acquire or generate knowledge, but such a purpose would be severely undermined by instances of research misconduct (RM) and questionable research practices (QRP). RM and QRP are often framed in terms of moral transgressions by individuals (bad apples) whose aberrant acts could be made conducive by shortcomings in…
Descriptors: Scientific Research, Ethics, Integrity, Cheating
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James Stacey Taylor – Journal of Academic Ethics, 2024
I argue that wrong of plagiarism does not primarily stem from the plagiarist's illicit misappropriation of academic credit from the person she plagiarized. Instead, plagiarism is wrongful to the degree to which it runs counter to the purpose of academic work. Given that this is to increase knowledge and further understanding plagiarism will be…
Descriptors: Plagiarism, Cheating, Citations (References), Primary Sources
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Davidson, Alfred Festus; Viraraghavan, Janakiraman – IEEE Transactions on Education, 2023
Contribution: The ability to design circuit layouts is a critical component of circuit design. This article presents an approach wherein layout-based design projects can be integrated into the traditional digital integrated circuit (IC) curriculum targeted at large classes and addresses the relevant challenges. Background: Most circuit design…
Descriptors: Design, Electronic Equipment, Student Projects, Large Group Instruction
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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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Halaweh, Mohanad – Contemporary Educational Technology, 2023
Since the launch of ChatGPT for public use, educators have expressed a variety of concerns about its integration into educational settings. This paper has been written to provide an indepth examination of these issues and explore the potential use of ChatGPT in educational contexts. Specifically, it aims to (i) present an argument in favor of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teaching Methods
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Iantosca, Tony – Educational Theory, 2023
In this paper, Tony Iantosca situates the academic integrity policies of US colleges and universities, as well as student plagiarism, in biopolitical frameworks. By examining the aporias that result from student plagiarism in the context of neoliberal knowledge production, which produces and depends upon individualized, skills-bearing students,…
Descriptors: School Policy, Plagiarism, Neoliberalism, Student Behavior
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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
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Veronika Krásnican; Inga Gaižauskaite; William Bülow; Dita Henek Dlabolova; Sonja Bjelobaba – Journal of Academic Ethics, 2024
Given the prevalence of misconduct in research and among students in higher education, there is a need to create solutions for how best to prevent such behaviour in academia. This paper proceeds on the assumption that one way forward is to prepare students in higher education at an early stage and to encourage a smoother transition from academic…
Descriptors: Integrity, Ethics, Student Behavior, Supervision
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Jo-ann Larkins; Katherine Seaton – Assessment & Evaluation in Higher Education, 2024
That the manifestation of cheating varies between disciplines is rarely discussed, an unspoken assumption being that assessment takes the form of written prose supported by a bibliography. Students and academics from disciplines, such as mathematics, not fitting this model can feel that their work is regarded as an aberration. 'Plagiarism' is not…
Descriptors: Cheating, Mathematics Instruction, Intellectual Disciplines, Plagiarism
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James D. Halbert; Donna DiMatteo-Gibson; Marianne Cabrera; Tricia Mazurowski; Maleka Ingram – Online Journal of Distance Learning Administration, 2025
This white paper discusses a model of best practices to better identify and address plagiarism issues with students using AI. It serves as an example to help younger institutions that may not have a policy in place to recognize the importance of hitting this head-on. By creating a taskforce, we were able to quickly come to a resolution for a…
Descriptors: Foreign Countries, Virtual Universities, College Students, Colleges
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