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Xuandong Zhao – ProQuest LLC, 2024
The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…
Descriptors: Computational Linguistics, Intellectual Property, Artificial Intelligence, Productivity
Eaton, Sarah Elaine; Crossman, Katherine; Edino, Rachael – Online Submission, 2019
Purpose: This report documents research and related materials related to academic integrity in Canada to inform and guide future work in the field. It provides an overview of the literature up to and including 2017 relating to academic integrity in Canada. Methods: Two research questions guided this literature review: 1. What scholarly, research,…
Descriptors: Integrity, Databases, Teaching Methods, Professional Education
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Lallie, Harjinder Singh; Lawson, Phillip; Day, David J. – Journal of Information Technology Education: Innovations in Practice, 2011
Identifying academic misdemeanours and actual applied effort in student assessments involving practical work can be problematic. For instance, it can be difficult to assess the actual effort that a student applied, the sequence and method applied, and whether there was any form of collusion or collaboration. In this paper we propose a system of…
Descriptors: Foreign Countries, Evidence, Computer Software, Academic Achievement
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Strom, Paris S.; Strom, Robert D. – Educational Forum, The, 2007
There is increasing concern about cheating in the secondary schools. This article describes the prevalence of dishonesty in testing, motivation for student cheating, new forms of deception using technology tools, initiatives to protect security of tests, methods students use to obtain papers without crediting the original source, tools for…
Descriptors: Primary Sources, Integrity, Ethics, Cheating