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Direct linkJennifer Jihae Park; Patricia Milner – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite continuous discussions on Generative Artificial Intelligence (Gen AI) ethics in academia, limited studies examine the perceptions of students or the application of ChatGPT with non-traditional students. We report an exploratory single case of a two-week orientation offered to non-traditional students entering online bachelor's degree…
Descriptors: Artificial Intelligence, Undergraduate Students, Nontraditional Students, Virtual Universities
Balázs Fajt; Emese Schiller – International Journal for Educational Integrity, 2025
Academic dishonesty and plagiarism have been a serious problem worldwide in academia. This study examines Hungarian university students' attitudes towards and perceptions about plagiarism in higher education, utilizing the quantitative research paradigm (n = 607). The paper investigates the potential significant differences in terms of gender,…
Descriptors: Student Attitudes, Plagiarism, Ethics, College Students
Chaojin Wu – British Journal of Sociology of Education, 2025
Publishing is a critical avenue for scholars and a significant challenge for Chinese doctoral students. This study employs online ethnography to examine discussions on academic publishing anomie in the 'Graduated Group', including interviews with 10 doctoral students to explore the dynamics of academic misconduct. Under the high-pressure…
Descriptors: Publish or Perish Issue, Cheating, Risk Assessment, Doctoral Students
James D. Halbert; Donna DiMatteo-Gibson; Marianne Cabrera; Tricia Mazurowski; Maleka Ingram – Online Journal of Distance Learning Administration, 2025
This white paper discusses a model of best practices to better identify and address plagiarism issues with students using AI. It serves as an example to help younger institutions that may not have a policy in place to recognize the importance of hitting this head-on. By creating a taskforce, we were able to quickly come to a resolution for a…
Descriptors: Foreign Countries, Virtual Universities, College Students, Colleges
Download full textCheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education
Stone, Anna – Journal of Academic Ethics, 2023
Background: Academic integrity (AI) is of increasing importance in higher education. At the same time, students are becoming more consumer-oriented and more inclined to appeal against, or complain about, a penalty imposed for a breach of AI. This combination of factors places pressure on institutions of higher education to handle alleged breaches…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
de Lima, Jorge Ávila; Sousa, Áurea; Medeiros, Angélica; Misturada, Beatriz; Novo, Cátia – Journal of Academic Ethics, 2022
Previous research has shown that student plagiarism is the product of interplay between individual and situational factors. The present study examined the relationship between these two sets of factors with a particular focus on variables linked to students' academic context namely, their perception of peer behaviors, their experience of…
Descriptors: Foreign Countries, Undergraduate Students, Plagiarism, Peer Influence
Merkel, Warren – Scandinavian Journal of Educational Research, 2022
In recent decades, research on plagiarism has helped to raise awareness of the complex and multifaceted nature of plagiarism. Yet despite these strides, several influential academic contexts have yet to be examined. The purpose of this qualitative study was to examine pre-service teachers' conceptions of plagiarism at a university in Norway, a…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Plagiarism
Anson, Chris M. – Composition Studies, 2022
Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…
Descriptors: Plagiarism, Artificial Intelligence, Natural Language Processing, Writing Assignments
Pecorari, Diane – Language Teaching, 2022
Plagiarism is a consistent source of concern for educators, and particularly so for English for Academic Purposes (EAP) practitioners, whose objective is to equip students for success across the curriculum. Plagiarism has been on the EAP research agenda for some 35 years and remains a topic of considerable research interest. While perceptions of…
Descriptors: Plagiarism, English for Academic Purposes, Educational Research, Incidence
Oscar 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
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
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
Lancaster, 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
