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Pasty Asamoah; John Serbe Marfo; Matilda Kokui Owusu-Bio; Daniel Zokpe – Education and Information Technologies, 2024
In this brief we shift the current academic integrity conversation from "detecting and preventing plagiarism" to "examining how plagiarized contents can be corrected with an objective knowledge of the number of words to modify and properly acknowledged". We proposed a simple, yet useful and powerful mathematical model that is…
Descriptors: Error Correction, Plagiarism, Integrity, Prevention
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
Gary D. Fisk – Teaching of Psychology, 2025
Introduction: Recent innovations in generative artificial intelligence (AI) technologies have led to an educational environment in which human authorship cannot be assumed, thereby posing a significant challenge to upholding academic integrity. Statement of the problem: Both humans and AI detection technologies have difficulty distinguishing…
Descriptors: Technology Uses in Education, Writing (Composition), Plagiarism, Identification
Elkhatat, Ahmed M.; Elsaid, Khaled; Almeer, Saeed – International Journal for Educational Integrity, 2021
One of the main goals of assignments in the academic environment is to assess the students' knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has been solely made by the students to assess their competence acquisition. Therefore, Text-Matching Software Products (TMSPs) are used by academic…
Descriptors: Plagiarism, Identification, Assignments, Computer Software
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
Perkins, Mike – Journal of University Teaching and Learning Practice, 2023
This paper explores the academic integrity considerations of students' use of Artificial Intelligence (AI) tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools, and highlight the potential ways that LLMs can support in the education of students in digital writing and beyond,…
Descriptors: Artificial Intelligence, College Students, Higher Education, Technology Uses in Education
Maame Afua Nkrumah; Ronald Osei Mensah; Alwyna Sackey Addaquay – Discover Education, 2025
The study sought to examine the gender, faculty and school-based disparity that exists in students' research self-efficacy, perception of ethics in research and the level of stress they face in conducting research. A sample of 385 undergraduate students from the faculty of business and hospitality were selected from three public universities in…
Descriptors: Gender Differences, Student Attitudes, Student Research, Self Efficacy
Chokoraia, Tamar – Quality in Higher Education, 2023
The Georgian educational system was not familiar with the concept of plagiarism during the Soviet era. The purpose of the article is to study whether the mechanisms for plagiarism prevention in Georgian higher education institutions have been improved as a result of the application of new authorisation standards and international practices; it…
Descriptors: Foreign Countries, Plagiarism, Prevention, Higher Education
Liat Shklarski; Kathleen Ray – Journal of Teaching in Social Work, 2024
Artificial intelligence has evolved since its inception in the 1950s, resulting in the creation of large language models that are trained on extensive data sets to understand and generate content, such as OpenAI's ChatGPT, which launched in November 2022. Modern technology that is easy to access and free to use, like ChatGPT, is changing the…
Descriptors: Social Work, Counselor Training, Artificial Intelligence, Computer Software
Faiqa Mansoor; Kanwal Ameen; Alia Arshad – New Review of Academic Librarianship, 2023
This study aims to investigate university library directors' perceived importance of antiplagiarism practices through plagiarism software and guidance-based programs. The study also qualitatively explores the barriers faced by university librarians in combating plagiarism practices. The authors used a mixed-method research design to examine their…
Descriptors: Foreign Countries, Library Personnel, Administrator Attitudes, Research Libraries
Yovav Eshet – Education and Information Technologies, 2024
The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
Silvia Sierra-Martínez; María-Esther Martínez-Figueira; María Dolores Castro Pais; Teresa Pessoa – British Educational Research Journal, 2024
Academic integrity is part of the process that explains the communication of information in an ethical manner. Although the prevalence of dishonest acts at university has been noted, it is an aim of the educational system to analyse what motivates them from an age prior to their incorporation into university studies. The aim of this work is to…
Descriptors: Plagiarism, Photography, Participatory Research, High School Students
Elizabeth Atieno Obura; Peter Imatari Emoit – Africa Education Review, 2024
This article aims to examine the opportunities and challenges of artificial intelligence (AI) in academic writing and research skills. It suggests recommendations that universities can use to develop to enhance the proper use of AI. As many institutions continue to embrace and use AI tools worldwide, questions surrounding its utilisation in the…
Descriptors: Artificial Intelligence, Computer Software, Academic Language, Writing (Composition)
Ma, Leo F. H.; Horban, Yurii; Skachenko, Olena – portal: Libraries and the Academy, 2022
This study explores the role of the Chinese University of Hong Kong (CUHK) Library and the Scientific Library of the Kyiv National University of Culture and Arts (KNUCA) in Ukraine in enhancing academic integrity in the university community. It compares the methods of academic integrity training offered by the libraries of the two universities…
Descriptors: Foreign Countries, Integrity, Ethics, Cheating
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