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Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
Abdülkadir Kabadayi; Martin Skutil – Journal of Teacher Education for Sustainability, 2024
Plagiarism poses a significant challenge to academic integrity, and the advent of digital technologies has prompted the widespread adoption of plagiarism detection tools. This cross-cultural study investigates teachers' perspectives on the use of plagiarism-detection tools for sustainable education in the contexts of the Czech Republic and Turkey.…
Descriptors: Foreign Countries, Plagiarism, Technology Uses in Education, Teacher Attitudes
Sari Atmini; Ruzita Jusoh; Arum Prastiwi; Setyo Tri Wahyudi; Kurniasari Novi Hardanti; Nadafajar Nurmani'ah Widiarti – Cogent Education, 2024
This research investigates the factors influencing plagiarism from the perspective of the fraud diamond framework. It aims to obtain empirical evidence that higher pressure, opportunity, rationalization, and competencies influence an increase in plagiarism. Currently, information technology has rapidly advanced, and artificial intelligence has…
Descriptors: Plagiarism, Accounting, Deception, Guidelines
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Eaton, Sarah Elaine; Crossman, Katherine; Behjat, Laleh; Yates, Robin Michael; Fear, Elise; Trifkovic, Milana – Journal of Academic Ethics, 2020
This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…
Descriptors: Computer Software, Plagiarism, College Students, Engineering Education
Levine, Joy; Pazdernik, Vanessa – Assessment & Evaluation in Higher Education, 2018
Maintaining academic integrity and preventing students from cheating and plagiarising academic work are challenges faced by higher education institutions. These areas have become even more problematic with the growth of the Internet and readily available information, which increase the temptation for students to copy and paste information directly…
Descriptors: Plagiarism, Incidence, Program Effectiveness, Prevention
Rogerson, Ann M. – International Journal for Educational Integrity, 2017
Detecting contract cheating in written submissions can be difficult beyond direct plagiarism detectable via technology. Successfully identifying potential cases of contract cheating in written work such as essays and reports is largely dependent on the experience of assessors and knowledge of student. It is further dependent on their familiarity…
Descriptors: Cheating, Essays, Graduate Students, Integrity
Mayes, Robin James – ProQuest LLC, 2017
This empirical exploratory study quantitatively analyzed content similarity indices (potential plagiarism) from a corpus consisting of 360 dissertations and 360 published articles. The population was defined using the filtering search criteria human resource development, training and development, organizational development, career development, or…
Descriptors: Plagiarism, Computer Software, Doctoral Dissertations, Regression (Statistics)
Plagiarism in Five Universities in Mozambique: Magnitude, Detection Techniques, and Control Measures
Coughlin, Peter E. – International Journal for Educational Integrity, 2015
Hugely facilitated by the Internet, plagiarism by students threatens educational quality and professional ethics worldwide. Plagiarism reduces learning and is correlated with increased fraud and inefficiency on the job, thus lessening competitiveness and hampering development. In this context, the present research examines 48…
Descriptors: Foreign Countries, Plagiarism, Universities, Graduate Students
Sivasubramaniam, Shiva; Kostelidou, Kalliopi; Ramachandran, Sharavan – International Journal for Educational Integrity, 2016
Academic dishonesty presents in different forms, including fabrication of data, falsifying references, multiple submissions, collusion, and sabotage, with two forms haunting academia, namely plagiarism and contract cheating or ghost writing. These latter forms have received considerable attention and have been subjects for research. This…
Descriptors: Plagiarism, Cheating, Essays, Research Papers (Students)
Stapleton, Paul – Journal of English for Academic Purposes, 2012
The use of anti-plagiarism services has grown very quickly in recent years to the point where over half of American universities now have a license. The most popular of these services, Turnitin, claims that it is licensed in 126 countries and available in 10 languages suggesting that the service is becoming widely used around the world. In order…
Descriptors: Plagiarism, Universities, Writing Skills, Computer Software
Originality Detection Software in a Graduate Policy Course: A Mixed-Methods Evaluation of Plagiarism
Dreuth Zeman, Laura; Steen, Julie A.; Metz Zeman, Natalie – Journal of Teaching in Social Work, 2011
The authors used a mixed-methods approach to evaluate the use of Turnitin originality detection software in a graduate social work course. Qualitative analysis of student responses revealed positive and negative spent completing assignments, and the tone of the class. Quantitative analysis of students' originality scores indicated a short-term…
Descriptors: Assignments, Plagiarism, Computer Software, Social Work
Dahl, Stephan – Active Learning in Higher Education, 2007
Recently there has been an increasing interest in plagiarism detection systems, such as the web-based Turnitin system. However, no study has so far tried to look at how students react towards those systems being used. This exploratory study examines the attitudes of students on a postgraduate module after using Turnitin as their standard way of…
Descriptors: Plagiarism, Student Attitudes, Ethics, Computer Software