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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
Müge Uluman Mert; Emine Burcu Tunç – International Journal of Assessment Tools in Education, 2023
The aim of this research study was to analyse the relationship among answer-copying tendency, academic self-efficacy, and fear of negative evaluation. To this end, we formed a structural equivalence model, and we evaluated the mediating role of academic self-efficacy between answer-copying tendency and fear of negative evaluation. A total of 562…
Descriptors: Self Efficacy, Cheating, Student Behavior, Foreign Countries
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
Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
Shashi Nallaya; Sheridan Gentili; Scott Weeks; Katherine Baldock – Issues in Educational Research, 2024
Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…
Descriptors: Test Validity, Test Reliability, Cheating, Higher Education
Hossein Navidinia; Adrian Naznean; Maha Sourani; Nargess Hekmati – Asia-Pacific Education Researcher, 2024
Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…
Descriptors: Ethics, Cheating, Computer Assisted Testing, COVID-19
Josey Chacko; Stephane E. Collignon; Christina L. Green; A. Graham Peace – Journal of Information Systems Education, 2024
Student cheating is a growing concern in all aspects of higher education, particularly in technical programs such as information systems. Technology is also enabling student cheating. This paper utilizes existing literature and various behavioral theories, including incentive theory, the theory of planned behavior, social reciprocity theory,…
Descriptors: Student Attitudes, Congruence (Psychology), Student Evaluation, Student Satisfaction
Vuckovic, Dijana; Pekovic, Sanja; Blecic, Marijana; Ðokovic, Rajka – International Journal for Educational Integrity, 2020
Our aim in this study was to determine students' and teachers' attitudes towards cheating in assessing students' performance. We used mixed methodology and the main research method was a case study. We aimed to describe how our respondents: 1. recognize ethical misconduct (EM) in several situations given through case studies, 2. understand the…
Descriptors: Student Attitudes, Teacher Attitudes, College Faculty, Cheating
Mengzhou Li; Lei Luo; Sujoy Sikdar; Navid Ibtehaj Nizam; Shan Gao; Hongming Shan; Melanie Kruger; Uwe Kruger; Hisham Mohamed; Lirong Xia; Ge Wang – npj Science of Learning, 2021
Online education is important in the COVID-19 pandemic, but online exam at individual homes invites students to cheat in various ways, especially collusion. While physical proctoring is impossible during social distancing, online proctoring is costly, compromises privacy, and can lead to prevailing collusion. Here we develop an optimization-based…
Descriptors: Electronic Learning, COVID-19, Pandemics, Computer Assisted Testing
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
Vellanki, Surya Subrahmanyam; Mond, Saadat; Khan, Zahid Kamran – TESL-EJ, 2023
The hasty adoption of remote teaching (RT) by educational institutes in response to the COVID-19 pandemic has drastically impacted teaching, learning, and assessment. With most institutes unprepared for sudden lockdowns, and many educators lacking online teaching and assessment experience, old methods of assessment continued to be used, at least…
Descriptors: Computer Assisted Testing, Student Evaluation, English (Second Language), Language Teachers
Daumiller, Martin; Janke, Stefan – AERA Open, 2019
We investigated how evaluation standards employed in performance tests affect the impact of performance goals (here focused on appearance) on academic cheating. Thereby, we assumed that appearance goals would lead to increased cheating only if students' performance was presumably evaluated based on results rather than on the strategies they…
Descriptors: Cheating, Ethics, Evaluation Methods, Goal Orientation
Survey of the School of Mathematics and Science at a Community College Regarding Academic Dishonesty
Linda D. Prentice; Cristina Cardona – Teaching and Learning Excellence through Scholarship, 2022
After receiving many anecdotes about student cheating and plagiarism in online and remote classes during the COVID-19 pandemic, the School of Mathematics and Science (SOMS) at the Community College of Baltimore County convened an Academic Integrity Committee to investigate these issues. A survey was sent to SOMS faculty members to determine their…
Descriptors: College Mathematics, College Science, Community College Students, Ethics
Eaton, Sarah Elaine; Turner, Kristal Louise – Online Submission, 2020
Purpose: The goal of this study was to understand the relationship between academic integrity and students' mental health during the COVID-19 crisis. Methods: We employed a rapid review method to identify relevant data sources using our university library search tool, which offers access to 1026 individual databases. We searched for sources…
Descriptors: COVID-19, Pandemics, Mental Health, College Students
Fendler, Richard J.; Godbey, Jonathan M. – Journal of Academic Ethics, 2016
Numerous academic studies and reports indicate that as many as half of all students cheat on exams. Cheating on exams undermines the central purpose of a university, corrupts the meaning of grades as a measure of subject matter mastery, and significantly harms honest students. Although instructors are aware that many students cheat and they…
Descriptors: Cheating, Ethics, Student Behavior, Teacher Role