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Carl Crowe – ProQuest LLC, 2022
Academically dishonest behavior, or cheating, has been a continued problem in post-secondary institutions. Research has been varied in terms of understanding the root causes of academically dishonest behaviors and has offered ways in which to mitigate the behaviors by educating students and holding them accountable to institutional expectations.…
Descriptors: Predictor Variables, Cheating, Student Behavior, Behavior Theories
Justine A. L. Burnett – ProQuest LLC, 2022
Academic misconduct on college campuses is not a new challenge for higher education institutions but an old problem that has changed considerably. Student demonstrations of academic misconduct behaviors have evolved, making it difficult for institutions to consistently keep well-informed on how students cheat to effectively respond to violations…
Descriptors: Cheating, Decision Making, Higher Education, Student Behavior
Štefánia Ferková; Zlatica Zacharová – Acta Educationis Generalis, 2024
Introduction: Academic dishonesty is addressed by various experts in pedagogy and psychology who seek to preserve academic integrity in accordance with the moral and ethical principles of contemporary society. Methods: The intention of the research was to find out how teachers evaluate different types of cheating by students during class, how they…
Descriptors: Ethics, Teacher Attitudes, Cheating, Student Behavior
Phillip Dawson; Margaret Bearman; Mollie Dollinger; David Boud – Assessment & Evaluation in Higher Education, 2024
Cheating attracts a significant amount of attention in conversations about assessment, and with good reason: if students cheat, we cannot be sure they have met the learning outcomes of their course. In this conceptual article we question the attention given to cheating as a concept and argue that the broader concept of validity is a more important…
Descriptors: Cheating, Ethics, Inclusion, Test Validity
Kelley A. Packalen; Kate Rowbotham – International Journal for Educational Integrity, 2024
Using multivariate regression, we identified situational, personal and contextual variables correlated with business students' self-reported rates of academic misconduct. The most influential predictors of increasing academic misconduct were: higher estimates of peers' academic misconduct, increasingly negative perceptions of the program's…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
Dilky Felsinger; Thilina Halloluwa; Ishani Fonseka – Education and Information Technologies, 2024
Academic misconduct is a growing problem in online education. While there are ways to curb academic misconduct in online exams, utilization of technology to proctor online exams in a simple manner in limited-resource settings remain unclear. This study set out to identify a reliable technique for utilizing webcam footage to identify instances of…
Descriptors: Video Technology, Computer Assisted Testing, Supervision, Depleted Resources
Roya Rahimi; Jenni Jones; Carol Bailey – Ethics and Education, 2024
Contract cheating is a challenging problem facing higher and further education providers (HE and FE) worldwide. In the UK, contract cheating has been identified as a growing problem by the HEA and, more recently, the Quality Assurance Agency for Higher Education and the Department for Education. The high rate of contact cheating among students…
Descriptors: Foreign Countries, Higher Education, Cheating, Contracts
Jacqueline Casey – International Journal for Educational Integrity, 2024
This research aimed to share a personal voice, through a reflexive narrative process, of how the author's experiences as a student, design teacher and academic integrity officer influenced the conceiving and implementation of a student designed university academic integrity campaign. An auto-ethnographic methodology was utilized to share stories,…
Descriptors: Cheating, Student Attitudes, Teacher Attitudes, Administrator Attitudes
Hany Zayed – Learning, Media and Technology, 2024
This article examines academic cheating in Egyptian secondary education at a time of assessment fetishization, educational digitalization and pandemic exceptionalism. It shows how, while promising a tighter grip on assessment, digital technologies afforded a new modality of cheating with a scale and speed unprecedented in Egyptian educational…
Descriptors: Cheating, Secondary Education, Foreign Countries, Technology
Jasper Roe; Mike Perkins; Gi Kunchana Chonu; Abhishek Bhati – Higher Education Research and Development, 2024
In this article we report on a study of higher education students' (N = 256) perceptions on the willingness, pressure, and frequency of their peers to cheat in online assessments at an Australian university in Singapore during the COVID-19 induced Online Teaching and Assessment period (COTA). MANOVA was used to identify the differences in…
Descriptors: Student Attitudes, Cheating, COVID-19, Pandemics
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
Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
David R. Firth; Mason Derendinger; Jason Triche – Information Systems Education Journal, 2024
In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…
Descriptors: Cheating, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Mike Perkins; Jasper Roe – Higher Education Policy, 2024
This study presents a corpus analysis of academic integrity policies from Higher Education Institutions (HEIs) worldwide, exploring how they address the issues posed by technological threats, such as Automated Paraphrasing Tools and generative-artificial intelligence tools, such as ChatGPT. The analysis of 142 policies conducted in November and…
Descriptors: Educational Policy, Decoding (Reading), Integrity, Artificial Intelligence
Evans, Angela D.; Dykstra, Victoria W.; Bruer, Kaila; Price, Heather L. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2021
Lies to benefit the collective are common in adult contexts; however, less is known about children's willingness to lie for the collective. The present study examined 7- to 11-year-old children's tendency to lie to conceal a group transgression. Children (N = 408) participated in a competition in small groups during which the group leaders…
Descriptors: Children, Preadolescents, Deception, Child Behavior