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Drisko, James W. – Journal of Social Work Education, 2023
Plagiarism is a continuing and growing concern in higher education and in academic publishing. Educating to avoid plagiarism requires ongoing efforts at all levels and clear policies that explain the several types of plagiarism and potential consequences when it is found. Identifying plagiarism requires complex judgments and is not a simple matter…
Descriptors: Plagiarism, Computer Software, Identification, Computational Linguistics
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Christine Ladwig; Dana Schwieger; Reshmi Mitra – Information Systems Education Journal, 2025
The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…
Descriptors: Copyrights, Plagiarism, Intellectual Property, Computer Software
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Fernando Castelló-Sirvent; Vanessa Roger-Monzó; Ricardo Gouveia-Rodrigues – Electronic Journal of e-Learning, 2024
In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The…
Descriptors: Ethics, Higher Education, Artificial Intelligence, Computer Software
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Autumn B. Hostetter; Natalie Call; Grace Frazier; Tristan James; Cassandra Linnertz; Elizabeth Nestle; Miaflora Tucci – Teaching of Psychology, 2025
Background: Psychology instructors frequently assign writing-to-learn exercises that include personal reflection. Generative Artificial Intelligence (GenAI) can write text that passes for humans in other domains. Objective: Do students and faculty rate a reflection written by GenAI differently than reflections written by students? Do students and…
Descriptors: Student Attitudes, Teacher Attitudes, College Faculty, Undergraduate Students
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Lisa Otto – Africa Education Review, 2024
ChatGPT has been on the lips and minds of academics and students alike since the launch of the generative technology in November 2022. Students have made use of it and academic institutions have debated how to respond to its use, variously either banning it outright or arguing that there should be a place for such technologies in our teaching and…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Robert Godwin-Jones – Language Learning & Technology, 2024
Generative AI offers significant opportunities for language learning. Tools like ChatGPT provide second language practice through chats in written or voice formats, with the learner specifying through prompts conversational parameters. AI can be instructed to give corrective feedback and create practice exercises. Using AI, instructors can build…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
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Mustafa Taktak – International Journal of Technology in Education, 2025
This study examines the potential and challenges of artificial intelligence applications like ChatGPT in higher education, drawing on the experiences of 24 academics from eight countries: Turkey, Sweden, Canada, Iran, Kenya, Pakistan, Afghanistan, and Japan. Employing the content analysis method, the findings reveal that ChatGPT provides…
Descriptors: Teaching Methods, Research Methodology, Higher Education, Artificial Intelligence
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Steven Michels – Journal of Political Science Education, 2024
The advent of artificial intelligence and concerns over academic integrity have put instructors from every discipline on notice regarding the kinds of coursework we are assigning. But this is also a moment to deliver content in a manner that is clearer and more dynamic, use more active forms of learning, and improve the academic and professional…
Descriptors: Political Science, Artificial Intelligence, Computer Software, Teaching Methods
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Thaweesak Chanpradit; Phakkaramai Samran; Siriprapa Saengpinit; Pailin Subkasin – Journal of English Teaching, 2024
AI-generated paraphrasing tools, especially QuillBot and Paraphrasing Tool, play a crucial role in preventing plagiarism in academic writing. However, their effectiveness and proficiency have been questioned, particularly regarding the adequacy of their strategies. This qualitative study analyzed the paraphrasing strategies and proficiency levels…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
Editorial Projects in Education, 2024
Addressing academic integrity in the age of AI is essential to ensure honesty and student success. This Spotlight will help you learn about how educators nationwide are approaching AI in teaching and learning; review data investigating how many students are actually using AI to cheat; examine strategies teachers are using to fight AI cheating;…
Descriptors: Integrity, Artificial Intelligence, Teaching Methods, Computer Software
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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
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Luck, Jo-Anne; Chugh, Ritesh; Turnbull, Darren; Rytas Pember, Edward – Higher Education Research and Development, 2022
Increasing incidents of academic dishonesty are a problem for universities globally. The traditional approach to dealing with academic dishonesty has been to detect and punish, which may not be the best solution. This study explored the perceptions of sessional teaching staff (a growing but often neglected workforce) on academic integrity and…
Descriptors: Integrity, Cheating, Universities, Teacher Attitudes
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Ersan, Ceyhun; Uslu, Banu – International Journal of Technology in Education and Science, 2020
In this study, the effect of science and research ethics course on preschool teacher candidates' possible plagiarism behaviors was examined. Fifteen teacher candidates were asked to prepare a written assignment (pre-test) before the start of the course. Similarly, a second written assignment (post-test) was taken at the end of the course which…
Descriptors: Plagiarism, Prevention, Preservice Teachers, Homework
Ho Pham Xuan Phuong – Online Submission, 2024
In the realm of AI-driven education, it is pivotal to evaluate the viability of ChatGPT as a substitute for human teachers in English classrooms. This study aims to explore learners' behaviors, perceptions, and attitudes to ChatGPT usage in English language learning. Participants were 120 I.T. students in Vietnam -- the Korea University of…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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Akbari, Alireza – Journal of Further and Higher Education, 2021
Much progress has been made in the areas of diminishing, avoiding, and resisting plagiarism, due to the recent development of plagiarism tools. Many scholars/authors across the globe have been struggling with plagiarism, giving a number of lectures and writing articles pinpointing strategies that take into account on-line plagiarism services such…
Descriptors: Translation, Plagiarism, Integrity, Prevention
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