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Sarah Moore; Kathryn Lookadoo – Business and Professional Communication Quarterly, 2024
This article presents the ongoing conversation about generative AI guidance and policy in higher education. The article examines syllabus policies, including analyzing sentiment, emotion, and common themes in GenAI policies. Findings show that policies should be audience-focused, clearly written, and grounded in strategies to promote ethical AI…
Descriptors: Artificial Intelligence, Educational Policy, Course Descriptions, Audience Awareness
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Juuso Henrik Nieminen; Sarah Elaine Eaton – Assessment & Evaluation in Higher Education, 2024
Assessment accommodations are used globally in higher education systems to ensure that students with disabilities can participate fairly in assessment. Even though assessment accommodations are supposed to promote access, not success, they are commonly portrayed as potentially being "cheating" in that they provide certain students with…
Descriptors: Foreign Countries, Higher Education, Testing Accommodations, Academic Accommodations (Disabilities)
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Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
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Ibrahim Adeshola; Adeola Praise Adepoju – Interactive Learning Environments, 2024
The launch of OpenAI ChatGPT's language-generation model has raised alarms within many sectors, especially the academic sector. Several academicians have urged universities to develop new forms of assessment after the launch of ChatGPT, which solves academic questions in less than a few minutes. Academic cheating is not a new phenomenon, and the…
Descriptors: Opportunities, Barriers, Artificial Intelligence, Natural Language Processing
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Eunjeong Park – Language Teaching Research Quarterly, 2024
It is fundamental for language teachers to assess their students' performance. Therefore, they should be familiar with various forms of assessments because teaching and assessing languages are closely related and have a great deal to do with one another. This study examined EFL preservice teachers' perceptions of assessment literacy at a…
Descriptors: Preservice Teachers, Student Attitudes, Assessment Literacy, Preservice Teacher Education
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Tobias Kohn – Journal of Computer Assisted Learning, 2025
Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Usability
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Cinzia Zanetti; Fabrizio Butera – Educational Psychology, 2025
Collective cheating is a widespread phenomenon in school and academia. A large majority of students report having cheated--individually or collectively--at school. In many settings, collective cheating is part of a culture and reveals a descriptive norm. However, no measure exists, to our knowledge, that captures the presence of a collective…
Descriptors: Cheating, Rating Scales, School Culture, Educational Environment
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Lydia Arnold; James Croxford – Teaching in Higher Education, 2025
Authentic assessment is a widely discussed concept in higher education, but it has a problem: the concept has become so all-encompassing that its meaning is now unclear. The notion has been expanded and diluted. For example, adding social justice to the definition or positioning exams as authentic, adds to the contradictions inherent within in the…
Descriptors: Performance Based Assessment, Higher Education, Vocabulary, Evaluation Methods
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Emily J. Ryan; Lori Sherlock; Edward Ryan; Miriam Leary – Advances in Physiology Education, 2025
Academic dishonesty is becoming more common among university students in science, technology, engineering, and mathematics (STEM)-based programs. This is concerning because these students hold positions of responsibility in their professional careers. The purpose of this qualitative study was to examine if a student's academic standing and/or…
Descriptors: College Freshmen, Ethics, Integrity, Cheating
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Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
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Manit Malhotra; Indu Chhabra; Salil Bharany; Ateeq Ur Rehman; Seada Hussen – Discover Education, 2025
The field of online education has increasingly recognized digitally automated proctoring as a prominent and pressing issue in recent years. The increasing prevalence of online examination deception has prompted a heated debate. The purpose of the study is to capture advancements in this research field, offering a concise overview of current…
Descriptors: Electronic Learning, Online Courses, Supervision, Integrity
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Christopher Adah Ocheni; Uche Louisa Nwatu; Barielnen Vita; Ifesinachi Jude Ezugwu; John Joseph Agah; Basil Chinecherem Ezennadi Oguguo; Adashona Obiamaka Ekwulugo; Juliet Ogechukwu Nwatu – Journal of Academic Ethics, 2025
The prevalence of examination cheating has continued to impact educational assessments all over the world. This study leveraged on using rational emotive behavioral therapy (REBT), a cognitive behavioral therapy (CBT) approach to treat examination cheating behavior among secondary school students in Nigeria. The researcher used a…
Descriptors: Behavior Modification, Cognitive Restructuring, Psychotherapy, Cheating
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Francisco Ortin; Alonso Gago; Jose Quiroga; Miguel Garcia – International Educational Data Mining Society, 2025
Online learning has enhanced accessibility in education, but also poses significant challenges in maintaining academic integrity during online exams, particularly when students are prohibited from accessing unauthorized resources through the Internet. Nonetheless, students must remain connected to the Internet in order to take the online exam.…
Descriptors: Electronic Learning, Computer Assisted Testing, Access to Internet, Synchronous Communication
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Nuria Brufau Alvira; Peter Bannister; Alexandra Santamaría Urbieta – Higher Education Quarterly, 2025
This study, conducted at a fully online Spanish higher education institution, documents the validation of a bespoke quality assessment tool designed to measure the susceptibility of formative assignments to AI academic misconduct. The research explored the impact of Generative AI (GenAI) technologies in the Humanities. The framework study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Foreign Countries
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Stephanie Tom Tong; Ashley DeTone; Austin Frederick; Stephen Odebiyi – Communication Education, 2025
Within higher education, the popularity of generative artificial intelligence (AI) has led many administrators and faculty to stress the need for policies regarding its use. However, given its relative novelty, it is unclear how instructors create and communicate such policies to students, in terms of both content and style. We present a detailed…
Descriptors: College Faculty, College Students, Artificial Intelligence, School Policy
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