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Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
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
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
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
Balbay, Seher; Kilis, Selcan – Contemporary Educational Technology, 2019
This cross-sectional survey study investigates students' perceptions of the effectiveness of Turnitin in detecting plagiarism in academic presentation slides. The data was collected online from 311 students studying at a prominent English-medium instruction university in Turkey. The findings indicated that more than half of them believed in the…
Descriptors: Program Effectiveness, Foreign Countries, Computer Software, Plagiarism
Newton, Philip – Assessment & Evaluation in Higher Education, 2016
Establishing a positive, proactive approach to issues such as plagiarism requires that students are equipped with the skills and experience to act with integrity, and that educators are fully aware of the attitudes and ability of students, particularly when they start university. This project used a questionnaire-based methodology to probe the…
Descriptors: Integrity, Higher Education, Student Attitudes, Undergraduate Students
Kashian, Nicole; Cruz, Shannon M.; Jang, Jeong-woo; Silk, Kami J. – Journal of Academic Ethics, 2015
Plagiarism is a prevalent form of academic dishonesty in the undergraduate instructional context. Although students engage in plagiarism with some frequency, instructors often do little to help students understand the significance of plagiarism or to create assignments that reduce its likelihood. This study reports survey, coding, and TurnItIn…
Descriptors: Plagiarism, Cheating, Learning Activities, Ethics
Belter, Ronald W.; du Pre, Athena – Teaching of Psychology, 2009
This study evaluated how effective an online academic integrity module was at reducing the occurrence of plagiarism in a written assignment for a university course. In a preintervention comparison group, plagiarism was detected in 25.8% of papers submitted, compared with only 6.5% in the group that completed the academic integrity module. The…
Descriptors: Plagiarism, Cheating, Integrity, Student Behavior
Ellery, Karen – Assessment & Evaluation in Higher Education, 2008
Student plagiarism is a pervasive and increasing problem at all levels of study in tertiary institutions. This study attempted explicitly and implicitly to address issues of plagiarism within the broad context of an academic writing framework in tutorials in a first-year module at the University of KwaZulu-Natal in South Africa. Despite these…
Descriptors: Plagiarism, Foreign Countries, Cheating, Undergraduate Students