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Elkhatat, Ahmed M. – International Journal for Educational Integrity, 2023
Academic plagiarism is a pressing concern in educational institutions. With the emergence of artificial intelligence (AI) chatbots, like ChatGPT, potential risks related to cheating and plagiarism have increased. This study aims to investigate the authenticity capabilities of ChatGPT models 3.5 and 4 in generating novel, coherent, and accurate…
Descriptors: Artificial Intelligence, Plagiarism, Integrity, Models
Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
While investigating plagiarism is relevant in different fields, verification of original authorship has also attracted attention in academia and L2 learning and assessment contexts. Generally associated with academic misconduct and dishonesty, plagiarism in writing can take many shapes and be hard to detect. In addition to being a very…
Descriptors: Plagiarism, Second Language Learning, Second Language Instruction, Authors
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
Martínez, Salvador; Wimmer, Manuel; Cabot, Jordi – Computer Science Education, 2020
Background and Context: Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective: To provide an efficient mechanism for the detection of…
Descriptors: Plagiarism, Identification, Computer Software, Computer Uses in Education
Adam Wong; Edmund Wut – International Association for Development of the Information Society, 2022
As lessons were forced to switch to online or hybrid mode during COVID-19, educators need to apply tools to foster engagement inside and outside the classroom. Screencasting software enables teachers to evaluate students' learning outcomes in compensation for the lack of face-to-face interactions. This study investigated the use of…
Descriptors: Information Science Education, Information Management, Management Systems, Educational Change
Vishal Soodan; Avinash Rana; Anurag Jain; Deeksha Sharma – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…
Descriptors: Artificial Intelligence, Social Networks, College Faculty, Computer Software
Rubin, Beth – Journal on Excellence in College Teaching, 2018
Academic integrity is a critical issue in online courses, where students are removed from their instructors in time and space. This article presents a model describing the steps that academic leaders and administrators should follow to implement systems that support academic integrity in online courses. Rather than identifying vendors, which…
Descriptors: College Students, Integrity, Cheating, Online Courses
Wang, Yanqing; Chen, Min; Liang, Yaowen; Jiang, Yu – International Association for Development of the Information Society, 2013
Lots of researches have showed that plagiarism becomes a severe problem in higher education around the world, especially in programming learning for its essence. Therefore, an effective strategy for plagiarism surveillance in program learning is much essential. Some literature focus on code similarity algorithm and the related tools can help to…
Descriptors: Higher Education, Plagiarism, Mathematics, Computer Software
Choo, Teh Eng (Elaine); Paull, Megan – Issues in Educational Research, 2013
The incidence of plagiarism, according to the literature, is increasing. But why do students plagiarise and why the increase? Is it due to laziness, opportunity, ignorance, fear or ambivalence? Or do they know that there is little chance of any significant penalty? The literature suggests that all of these apply. Given this, are universities and,…
Descriptors: Incidence, Plagiarism, College Students, College Faculty
Houtman, Anne M.; Walker, Sean – Journal on Excellence in College Teaching, 2010
The authors tested the predictions of a game theory model of plagiarism, using a test population of student papers submitted to an online plagiarism detection program, over five semesters in a non-majors biology course with multiple sections and high enrollment. Consistent with the model, as the probability of detection and the penalty if caught…
Descriptors: Majors (Students), Game Theory, Plagiarism, Biology
Bretag, Tracey; Mahmud, Saadia – Journal of University Teaching and Learning Practice, 2009
This paper provides insights based on the authors' own practice as university instructors, researchers and arbitrators of student plagiarism. Recognising the difficulty in defining plagiarism while still acknowledging the practical importance of doing so, the authors find the common element between the various types of plagiarism to be the lack of…
Descriptors: Foreign Countries, Plagiarism, Authors, Recognition (Achievement)
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Kommers, Piet, Ed.; Issa, Tomayess, Ed.; Sharef, Nurfadhlina Mohd, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2013
These proceedings contain the papers of the International Conference on Educational Technologies 2013 (ICEduTech 2013), which has been organised by the International Association for Development of the Information Society and co-organised by the Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Kuala Lumpur,…
Descriptors: Conference Papers, Educational Technology, Technology Uses in Education, Web Sites
Vlcek, Charles W. – 1992
This book was written to help educational institutions and their faculty and students meet the responsibilities of U.S. copyright law. Part I is a model board policy written for large or small school district or college and university boards. The policy can be modified to meet specific needs. Part II contains the details and procedures applying to…
Descriptors: Broadcast Industry, Computer Software, Copyrights, Elementary Secondary Education
Williamson, Kirsty; McGregor, Joy – Information Research: An International Electronic Journal, 2006
Introduction: The paper describes an interim model for understanding the influences on information use in relation to plagiarism, with a focus on secondary school students. Available literature mostly focuses on the tertiary level and on quantifying the extent of plagiarism, with limited availability of theory or empirical research focussing on…
Descriptors: Plagiarism, Secondary School Students, Models, Grade 10

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