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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
Nuria Brufau Alvira; Peter Bannister; Alexandra Santamaría Urbieta – Higher Education Quarterly, 2025
This study, conducted at a fully online Spanish higher education institution, documents the validation of a bespoke quality assessment tool designed to measure the susceptibility of formative assignments to AI academic misconduct. The research explored the impact of Generative AI (GenAI) technologies in the Humanities. The framework study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Foreign Countries
Stephens, Alice Elizabeth Johnson – ProQuest LLC, 2023
This study examines the phenomenon of plagiarism and impersonation in online course assignments. Technological advancements, coupled with lower costs and accessibility, have made online courses and programs a practical option for higher education students. Unfortunately, the increasing online enrollment and advancing technology have allowed an…
Descriptors: Best Practices, Prevention, Plagiarism, Assignments
Alexander, Katarzyna; Savvidou, Christine; Alexander, Chris – Teaching English with Technology, 2023
Recent developments in AI technologies and the increasing accessibility of AI tools, such as ChatGPT, have raised concerns about academic integrity in higher education. Thus, this research aims to shed light on the challenges faced by English as a Second Language (ESL) lecturers in identifying AI-generated texts, and highlighting the skills and…
Descriptors: Identification, Artificial Intelligence, Writing Assignments, Second Language Learning
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Cheating
Harper, Rowena; Bretag, Tracey; Rundle, Kiata – Higher Education Research and Development, 2021
This article contributes to an emerging body of research on the role of assessment design in the prevention and detection of contract cheating. Drawing on the largest contract cheating dataset gathered to date (see cheatingandassessment.edu.au), this article examines the types of assignments and exams in which students self-reported having engaged…
Descriptors: Cheating, Identification, College Students, College Faculty
Unproctored Assignment-Based Online Assessment in Higher Education: Stakeholder Evaluation of Issues
Nguyen, Hong Thu Thi – Issues in Educational Research, 2023
This study investigates unproctored assignment-based assessment implementation in an online teaching environment compared to on-site assessment. A mixed-method research approach was conducted with the participation of 284 English-major students, 6 teachers, and 4 experts at a university in Vietnam. Data collection instruments included a…
Descriptors: Foreign Countries, Student Evaluation, Online Courses, Computer Assisted Testing
Meyer, Patricia – ProQuest LLC, 2018
This study explored the adoption level of a specific plagiarism detection software by college professors in a classroom environment. As universities and colleges struggle with the issue of plagiarism and maintaining high standards of integrity, technology tools have been created and provided to assist faculty in identifying if a student has…
Descriptors: Plagiarism, Computer Software, College Faculty, College Students
Rogerson, Ann M.; McCarthy, Grace – International Journal for Educational Integrity, 2017
A casual comment by a student alerted the authors to the existence and prevalence of Internet-based paraphrasing tools. A subsequent quick Google search highlighted the broad range and availability of online paraphrasing tools which offer free 'services' to paraphrase large sections of text ranging from sentences, paragraphs, whole articles, book…
Descriptors: Plagiarism, Computer Software, Incidence, Cheating
Kaktinš, Louise – Ethics and Education, 2019
Australian universities are grappling with the challenge of plagiarism among students, particularly international students, with a reliance on software such as Turnitin. Measuring plagiarism in this way has limitations, with consequences for the internalisation of academic integrity by international students. An appraisal of such software…
Descriptors: Computer Software, Computational Linguistics, Writing Evaluation, Cheating
Bachore, Mebratu Mulatu – Journal of Education and Practice, 2016
The main objective of the study was to assess the perception of teachers and learners on the nature of practice, the type and the causes of academic cheating (dishonesty) in Hawassa University. The study was basically a survey which employed both qualitative and quantitative approaches to gather data. The subjects were 20 instructors and 60…
Descriptors: Foreign Countries, Teacher Attitudes, Student Attitudes, College Students
Halupa, Colleen M. – International Journal of Higher Education, 2014
Student self-plagiarism is a confusing issue for both faculty and students alike. This problem is compounded because both groups perceive the concept very differently. Recent literature regarding these perceptions is reviewed and some brief preliminary results of an exploratory multi-university study of student perceptions of self-plagiarism are…
Descriptors: Plagiarism, Cheating, Ethics, College Students
Royal, Kenneth D.; Schoenfeld-Tacher, Regina M.; Flammer, Keven – Online Submission, 2016
A study was conducted to assess veterinary students' and faculty perceptions of a variety of academic and classroom behaviors, and the degree to which these are acceptable or not. Two instruments were developed for this purpose: 1) The Exams and Assignments Scale (EAS), consisted of 23 items measuring the extent to which a variety of examination…
Descriptors: College Faculty, Veterinary Medical Education, Student Attitudes, College Students
Mellar, Harvey; Peytcheva-Forsyth, Roumiana; Kocdar, Serpil; Karadeniz, Abdulkadir; Yovkova, Blagovesna – International Journal for Educational Integrity, 2018
Student authentication and authorship checking systems are intended to help teachers address cheating and plagiarism. This study set out to investigate higher education teachers' perceptions of the prevalence and types of cheating in their courses with a focus on the possible changes that might come about as a result of an increased use of…
Descriptors: Cheating, Incidence, Integrity, Computer Software
Heckler, Nina C.; Rice, Margaret; Bryan, C. Hobson – Journal of Research on Technology in Education, 2013
Computer technology and the Internet now make plagiarism an easier enterprise. As a result, faculty must be more diligent in their efforts to mitigate the practice of academic integrity, and institutions of higher education must provide the leadership and support to ensure the context for it. This study explored the use of a plagiarism detection…
Descriptors: Computer Software, Writing Evaluation, Plagiarism, Ethics
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