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Direct linkLancaster, Thomas – Journal of Academic Ethics, 2021
Is academic integrity research presented from a positive integrity standpoint? This paper uses Natural Language Processing (NLP) techniques to explore a data set of 8,507 academic integrity papers published between 1904 and 2019.Two main techniques are used to linguistically examine paper titles: (1) bigram (word pair) analysis and (2) sentiment…
Descriptors: Cheating, Integrity, Natural Language Processing, Educational Research
Kamzola, Laima; Anohina-Naumeca, Alla – Journal of Academic Ethics, 2020
There are many internationally developed text-matching software systems that help successfully identify potentially plagiarized content in English texts using both their internal databases and web resources. However, many other languages are not so widely spread but they are used daily to communicate, conduct research and acquire education. Each…
Descriptors: Indo European Languages, Computer Software, Plagiarism, Identification
Dal-Ré, Rafael; Bouter, Lex M.; Cuijpers, Pim; Gluud, Christian; Holm, Søren – Research Ethics, 2020
For more than 25 years, research misconduct (research fraud) is defined as fabrication, falsification, or plagiarism (FFP)--although other research misbehaviors have been also added in codes of conduct and legislations. A critical issue in deciding whether research misconduct should be subject to criminal law is its definition, because not all…
Descriptors: Research Problems, Deception, Ethics, Criminal Law
Song Yang; Ying Dong; Zhong Gen Yu – International Journal of Information and Communication Technology Education, 2024
AI chatbots, e.g. ChatGPT, are becoming increasingly popular in education as a means to enhance student learning experiences and improve teaching efficiency. This study utilizes NVivo 12 Plus to examine the role of AI chatbots in education, ethical considerations, and sentimental analysis regarding the utilization of ChatGPT in education. ChatGPT…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Ethics
Mads Paludan Goddiksen; Mikkel Willum Johansen; Anna Catharina Vieira Armond; Mateja Centa; Christine Clavien; Eugenijus Gefenas; Nóra Kovács; Marcus Tang Merit; I. Anna S. Olsson; Margarita Poškute; Júlio Borlido Santos; Rita Santos; Vojko Strahovnik; Orsolya Varga; P. J. Wall; Peter Sandøe; Thomas Bøker Lund – International Journal for Educational Integrity, 2024
Text-matching software (TMS) is a standard part of efforts to prevent and detect plagiarism in upper secondary and higher education. While there are many studies on the potential benefits of using this technology, few studies look into potential unintended side effects. These side effects include students worrying about being accused of plagiarism…
Descriptors: Computer Software, Secondary School Students, Bachelors Degrees, Undergraduate Students
Oscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
Download full textOscar Karnalim – Informatics in Education, 2024
Programming students need to be informed about plagiarism and collusion. Hence, we developed an assessment submission system to remind students about the matter. Each submission will be compared to others and any similarities that do not seem a result of coincidence will be reported along with their possible reasons. The system also employs…
Descriptors: Programming, Integrity, Academic Achievement, Plagiarism
Putra, Idhamsyah Eka; Jazilah, Nur Inda; Adishesa, Made Syanesti; Al Uyun, Dhia; Wiratraman, Herlambang Perdana – Higher Education: The International Journal of Higher Education Research, 2023
In academia, plagiarism is considered detrimental to the advancement of sciences, and the plagiarists can be charged with sanctions. However, the plagiarism cases involving three rectors of universities in Indonesia stand out, as they could defend their stand for not committing academic misconduct despite evidence found. By analyzing the three…
Descriptors: Plagiarism, Power Structure, Discourse Analysis, Foreign Countries
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
Pinar Ayyildiz; Adem Yilmaz – Educational Policy Analysis and Strategic Research, 2023
In this study, in which artificial intelligence applications are examined at the K-12 level, the discussions are multi-dimensional. The use of artificial intelligence applications at the K-12 level, and especially the integrated use of online writing tools into the writing lessons, has led to the occurrence of plagiarism from time to time. In the…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Writing Instruction, Educational Technology
Uzeyir Ogurlu; Jesse Mossholder – Research in Social Sciences and Technology, 2023
ChatGPT was first released in November 2022, which has led to varying reactions among educators. Educators are one of the major stakeholders in the education system. As a result of this, educators' perceptions of ChatGPT are worth investigating to inform future policy decision-making. This study examined the perceptions of ChatGPT among educators…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teacher Attitudes
Sanja Calovic Nenezic; Milena Krtolica; Milica Jelic; Suzana Šekaric – Center for Educational Policy Studies Journal, 2023
At the University of Montenegro, increasing emphasis has recently been placed on academic integrity. Academic integrity is based on the principles of honesty, objectivity, openness, freedom in teaching and research, and responsibility to academia and society/the community. One of the basic principles of academic integrity is honesty. The present…
Descriptors: Integrity, Ethics, Foreign Countries, Cheating
Gregory Allen – ProQuest LLC, 2023
The main objective of this qualitative case study was to explore the causes of academic dishonesty at the tertiary level in Jamaica. The participants were 6 students and 6 faculty members who were selected purposefully from one tertiary institution in Jamaica. The main data-gathering instrument was semi-structured interviews. The study's findings…
Descriptors: Ethics, Cheating, College Students, Foreign Countries
Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
Jerke, Julia; Johann, David; Rauhut, Heiko; Thomas, Kathrin; Velicu, Antonia – Field Methods, 2022
This research analyzes the effectiveness of the list experiment and crosswise model in measuring self-plagiarism and data manipulation. Both methods were implemented in a large-scale survey of academics on social norms and academic misconduct. As the results lend little confidence about the effectiveness of the methods, researchers are best…
Descriptors: Plagiarism, Cheating, Teacher Surveys, Foreign Countries
