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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
Hoa Duong Quang; Hieu Ha Van; Khang Do Ba; Quy Nguyen Huu; Thang Phan Vo Minh; Loc Pham Quoc – Journal of Educators Online, 2025
During COVID-19 lockdowns, Vietnamese universities, like elsewhere, were compelled by social distancing rules to transition from on-site to online education, including examinations. However, many of these universities were not prepared for such sudden and drastic changes. This situation raises questions about if and how the students' cheating…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Student Behavior
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
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
Kaveh Jalilzadeh; Mojgan Rashtchi; Fatemeh Mirzapour – Language Testing in Asia, 2024
A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…
Descriptors: Cheating, Computer Assisted Testing, Coping, English (Second Language)
Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Mundy, Matthew; Bryant, Mike; Ashford, Cliff; Ryan, Kris – Assessment & Evaluation in Higher Education, 2023
Online examinations are a common experience in higher education. Their security is a key concern for education communities, and has resulted in a variety of cheating countermeasures. There is broad consensus in the literature that there is no one measure, including proctoring, which eradicates cheating behaviours. As a result, this study is…
Descriptors: Computer Assisted Testing, Cheating, College Students, Student Behavior
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
Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
Pleasants, Jacob; Pleasants, John M.; Pleasants, Barbara P. – Online Learning, 2022
As online courses become increasingly common at the college level, an ongoing concern is how to ensure academic integrity in the online environment. One area that has received particular attention is that of preventing cheating during unproctored online exams. In this study, we examine students' behavior during unproctored exams taken in an online…
Descriptors: Online Courses, Cheating, Computer Assisted Testing, Student Behavior
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
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
Maciejewski, Wes – PRIMUS, 2021
What if your students could access "any" resource during a test? How would they react? How would "you" react? This paper presents some results from a trial of allowing students access to notes, calculators, and any device connected to the internet, which occurred during a midterm in a second-year ordinary differential equations…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Students, Mathematics Tests
Denizer Yildirim; Hale Ilgaz; Alper Bayazit; Gökhan Akçapinar – International Review of Research in Open and Distributed Learning, 2023
One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in…
Descriptors: Student Behavior, Supervision, Electronic Learning, Academic Achievement
Amrane-Cooper, Linda; Hatzipanagos, Stylianos; Tait, Alan – Open Praxis, 2021
The shift to online assessment during the pandemic has generated debates on academic integrity, also highlighting good practice in supporting students and staff. Academic integrity is commitment to six fundamental values: honesty, trust, fairness, respect, responsibility, and courage and academic misconduct refers to practices that are not in…
Descriptors: Student Behavior, Integrity, Ethics, Foreign Countries
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
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