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Brian W. Stone – Teaching of Psychology, 2025
Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Robert Louis DeFranco – ProQuest LLC, 2023
Academic dishonesty poses a challenge for the online and campus-based learning environment where technology and assessment at a distance may encourage easy and innovative ways of cheating. The purpose of this quantitative study was to assess campus-based and online students' attitudes and perceptions toward academic dishonesty. Data were collected…
Descriptors: Undergraduate Students, Student Attitudes, Ethics, Integrity
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Rasha Mohamed Abdelrahman; Najeh Rajeh Alsalhi; Ahmad Mohammad Alzoubi; Abderrahim Benlahcene; Marei Ahmed; Abdalla Falah El-Mneizel – Educational Process: International Journal, 2025
Background/purpose: This study aims to better understand undergraduate students' perceptions of cheating in online learning programs at Ajman University, one of the higher education institutions in the United Arab Emirates. Materials/methods: The study used a descriptive method, employing a questionnaire instrument to collect data from faculty…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Cheating
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Jia G. Liang; George R. Watson; James Sottile; Bonni A. Behrend – Journal of Research in Education, 2023
The topic of cheating at the college level has received greater attention since the 2019 pandemic. This is in part because countless institutions of higher education switched many of their live/inperson classes to an online learning format. In comparing cheating in live classes to online classes during the 2020-2021 academic year, our survey study…
Descriptors: Cheating, Online Courses, In Person Learning, COVID-19
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Harton, Helen C.; Aladia, Salomi; Gordon, Anita – Online Journal of Distance Learning Administration, 2019
We surveyed representative samples of 303 faculty and 656 students at a midsized public comprehensive university on their perceptions of cheating in online vs. traditional courses and examined whether these might differ based on gender, experience, major, or other factors. The majority of both faculty and students perceived cheating and plagiarism…
Descriptors: College Students, College Faculty, Student Attitudes, Teacher Attitudes
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Adanir, Gülgün Afacan; Ismailova, Rita; Omuraliev, Asan; Muhametjanova, Gulshat – International Review of Research in Open and Distributed Learning, 2020
As online learning is becoming very popular in formal educational settings and in individual development, online exams are starting to be recognized as one of the more efficient assessment methods. Online exams are effective in either blended or traditional forms of learning, and, when appropriately used, bring benefits to both learners and the…
Descriptors: Student Attitudes, Computer Assisted Testing, Foreign Countries, Developing Nations
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Paullet, Karen; Chawdhry, Adnan A.; Douglas, David M.; Pinchot, Jamie – Information Systems Education Journal, 2016
Online Education is growing as it provides an added convenience to students, especially ones who have life circumstances that prevent them from attending traditional classes. With this growing trend, faculty and universities are facing increased risks with validating student identities in online courses and combatting unethical student behavior.…
Descriptors: Teacher Attitudes, Online Courses, Ethics, Cheating
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis