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Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating
Reza Taherkhani; Saba Aref – Journal of Academic Ethics, 2024
The current study aimed to explore effective strategies for preventing cheating in online examinations by surveying students to determine their cheating strategies. A total of 406 Iranian students at BA, MA, and PhD levels in four programs, including English language teaching, English literature, Linguistics, and English language translation,…
Descriptors: Cheating, Computer Assisted Testing, Educational Strategies, English (Second Language)
Raman, Vidya; Ramlogan, Shaun – International Journal for Educational Integrity, 2020
Educational pressures such as challenging workload, demanding deadlines and competitiveness among undergraduate dental students erode academic integrity in clinical training. The implementation of honour codes have been associated with the reduction in academic dishonesty. An action research was undertaken to investigate and foster academic…
Descriptors: Undergraduate Students, Dentistry, Integrity, Ethics
Dawson, Phillip; Sutherland-Smith, Wendy; Ricksen, Mark – Assessment & Evaluation in Higher Education, 2020
Contract cheating happens when students outsource their assessed work to a third party. One approach that has been suggested for improving contract cheating detection is comparing students' assignment submissions with their previous work, the rationale being that changes in style may indicate a piece of work has been written by somebody else. This…
Descriptors: Cheating, Identification, Accuracy, Computer Software
Erdemir, Mustafa; Akyuz, Halil Ibrahim – Journal on School Educational Technology, 2020
The purpose of this study is to reduce ethics violations such as tricking and cheating that may occur in the offline assessment of undergraduate level Physics-II (Electricity) course subjects. The study is significant for the reliable and ethical evaluation of the Internet and computer-based educational process. Thirty-eight pre-service teachers…
Descriptors: Test Reliability, Ethics, Cheating, Undergraduate Students
Liu, Xinjuan; Alias, Noryati – Higher Education Evaluation and Development, 2023
Purpose: This empirical survey is conducted to investigate the prevalence rate of academic dishonesty (AD) in examinations and assignments among undergraduates. The study compared the difference in admitted behaviours of academic dishonesty between male and female students comprising second-year, third-year and fourth-year students from the…
Descriptors: Foreign Countries, Ethics, Undergraduate Students, Public Colleges
Stoesz, Brenda M.; Quesnel, Matthew; De Jaeger, Amy E. – International Journal for Educational Integrity, 2023
The sudden move from traditional face-to-face teaching and learning to unfamiliar virtual spaces during the early weeks and months of the COVID-19 pandemic demanded many members of educational communities around the world to be flexible and teach and learn outside of their comfort zones. The abruptness of this transition contributed to…
Descriptors: Student Attitudes, Cheating, Peer Relationship, Distance Education
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Chala, Wondifraw D. – International Journal for Educational Integrity, 2021
The study was conducted to examine perceived seriousness of academic cheating behaviors among undergraduate students in an Ethiopian University. A total of 245 (146 males and 99 females) regular undergraduate students were randomly selected from three colleges: business and economics, natural and computational science, and social science found in…
Descriptors: Cheating, Student Behavior, Undergraduate Students, Foreign Countries
Rajlaxmi Chouhan – Learning: Research and Practice, 2024
This paper presents simple and intuitive strategies for effective online assessment of a freshman engineering course. The proposed strategies for unproctored online exams include creating multiple sets with identical options, using image-format questions, maintaining short duration of exam, and employing a rotational assignment. Unlike a…
Descriptors: Engineering Education, Tests, Electronic Learning, Supervision
Joseph Wu; Wing-Hong Chui; Anthony Yau; Ming-Tak Hue – Asia Pacific Journal of Education, 2024
All public-funded Hong Kong universities have explicit practices to promote integrity and prevent students' academic dishonesty. Using the Behaviour Change Wheel as a conceptual framework, three common practices were analysed in the present study, namely, enforcement of policies to penalize dishonest acts, use of plagiarism detection software, and…
Descriptors: Foreign Countries, College Faculty, Undergraduate Students, Ethics
Teaching the What, Why, and How of Academic Integrity: Naturalistic Evidence from College Classrooms
Waltzer, Talia; Bareket-Shavit, Carmelle; Dahl, Audun – Journal of College and Character, 2023
To refrain from cheating, students need to adopt an array of discipline-specific standards of academic integrity. The high rates of cheating in college show evidence that many undergraduates fall short of these standards. Little research has examined how instructors teach academic integrity, leaving gaps in our knowledge about how academic…
Descriptors: Integrity, Ethics, Cheating, Standards
Curtis, Guy J.; Tremayne, Kell – Studies in Higher Education, 2021
Historical trends in plagiarism are often estimated by comparing survey results from a diverse range of samples, institutions, and measures. However, in multi-institution multi-method comparisons changes over time are difficult to separate from differences in methods. We assessed self-reported engagement in, awareness of, and attitudes toward…
Descriptors: Plagiarism, Educational Trends, Trend Analysis, Student Attitudes
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
Hoseana, Jonathan; Stepanus, Oriza; Octora, Elvina – International Journal of Mathematical Education in Science and Technology, 2023
As educational systems move from onsite to online due to the COVID-19 pandemic, teachers face the difficulty of designing online examination formats which minimize opportunities for dishonesty. In this paper, we expose our design of such a format: a protected Microsoft Excel spreadsheet containing short-answer questions, which was implemented in a…
Descriptors: Plagiarism, Calculus, Algebra, Computer Software