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Showing 1 to 15 of 19 results Save | Export
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Tomáš Foltýnek; Philip M. Newton – Journal of Academic Ethics, 2026
This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Videos promoting the bypass of AI-generated text…
Descriptors: Video Technology, Web Sites, Social Media, Ethics
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Yi Zheng; Kang Lee; Li Zhao – Developmental Science, 2024
Three preregistered studies examined whether 5-year-old children cheat consistently or remain honest across multiple math tests. We observed high consistency in both honesty and cheating. All children who cheated on the first test continued cheating on subsequent tests, with shorter cheating latencies over time. In contrast, 77% of initially…
Descriptors: Cheating, Ethics, Early Childhood Education, Mathematics Tests
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Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
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Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
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Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention
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Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José; Sarasty, Mario F.; Ramírez-Gonzalez, Gustavo – International Journal of Educational Technology in Higher Education, 2020
Massive Open Online Massive Open Online Courses (MOOCs) have been transitioning slowly from being completely open and without clear recognition in universities or industry, to private settings through the emergence of Small and Massive Private Online Courses (SPOCs and MPOCs). Courses in these new formats are often for credit and have clear market…
Descriptors: Foreign Countries, Online Courses, Cheating, College Students
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Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
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Al-Maqbali, Asma Hilal; Raja Hussain, Raja Maznah – Journal of University Teaching and Learning Practice, 2022
With the emergence of COVID-19, many educational pillars have been altered from conventional ways to online solutions. The educational assessment has been administered in online environments despite all encountered challenges. This descriptive study aimed to uncover the online assessment challenges that were confronted. Furthermore, it intended to…
Descriptors: Barriers, Computer Assisted Testing, COVID-19, Pandemics
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Sivasubramaniam, Shiva; Kostelidou, Kalliopi; Ramachandran, Sharavan – International Journal for Educational Integrity, 2016
Academic dishonesty presents in different forms, including fabrication of data, falsifying references, multiple submissions, collusion, and sabotage, with two forms haunting academia, namely plagiarism and contract cheating or ghost writing. These latter forms have received considerable attention and have been subjects for research. This…
Descriptors: Plagiarism, Cheating, Essays, Research Papers (Students)
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Asim, Muhammad; Chambers, Cheryl; González, Ramón-Osvaldo; Morote, Elsa-Sofia; Walter, Richard J. – Journal of College and Character, 2015
This study measures the influence of an ethics course on the academic integrity of second-year college students enrolled in an aviation program in the United States and their beliefs about following Federal Aviation Regulations standards. Academic integrity is defined by three variables: beliefs about not cheating, beliefs about exhibiting moral…
Descriptors: Ethics, College Students, Aviation Education, Student Attitudes
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Mirzeoglu, Nevzat – Educational Research and Reviews, 2015
The study was primarily carried out with the aim of adaptation of Fair Play in Physical Education Questionnaire (FPQ-PE). In addition, the adapted questionnaire was implemented on Turkish children and youth aged between 11 and 18 and the results were presented. The questionnaire originally adapted by Hassandra et al. for Greek students was adapted…
Descriptors: Validity, Reliability, Ethics, Physical Education
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Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Psychology Learning and Teaching, 2015
Essays that are assigned as homework in large classes are prone to cheating via unauthorized collaboration. In this study, we compared the ability of a software tool based on Latent Semantic Analysis (LSA) and student teaching assistants to detect plagiarism in a large group of students. To do so, we took two approaches: the first approach was…
Descriptors: Plagiarism, Cheating, Essays, Homework
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Hardy, Sam A.; Walker, Lawrence J.; Olsen, Joseph A.; Woodbury, Ryan D.; Hickman, Jacob R. – Developmental Psychology, 2014
The purposes of this study were to conceptualize moral identity as moral ideal self, to develop a measure of this construct, to test for age and gender differences, to examine links between moral ideal self and adolescent outcomes, and to assess purpose and social responsibility as mediators of the relations between moral ideal self and outcomes.…
Descriptors: Moral Values, Moral Development, Adolescents, Cheating
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Menon, Mohan K.; Sharland, Alex – Journal of Education for Business, 2011
Renewed interest in the effects of narcissism in the media has generated a closer examination of the phenomenon. This coupled with an increase in academic misbehavior among both high school and university students has provided an opportunity to scrutinize the effects of narcissism on attitudes toward academic dishonesty. The authors investigated…
Descriptors: High School Students, College Students, Cheating, Personality Problems
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Unal, Emre – Educational Research and Reviews, 2011
Academic dishonesty has recently been described as an epidemic illness and a phenomenon to be definitely prevented. Accordingly, prospective teachers are expected to have high ethical judgement levels. The section who suffers most from academic dishonesty is also teachers who serve in various ranks. Individuals with high ethical judgement levels…
Descriptors: Preservice Teacher Education, Ethics, Cheating, Prediction
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