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Tyler Stillman – Journal of Educators Online, 2025
The current work introduces the concept of AI-trap questions as a tool for maintaining academic integrity in online courses. AI-trap questions are assessment tools designed to detect cheating by exploiting generative AI's tendency to provide answers that are common rather than context-specific. This paper explores theoretical perspectives of…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Online Courses
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Tristan Lim; Swapna Gottipati; Michelle Cheong – International Journal of Educational Technology in Higher Education, 2025
The rise of AI in educational assessments has significantly enhanced efficiency and accuracy. However, it also introduces critical ethical challenges, including bias in grading, data privacy risks, and accountability gaps. These issues can undermine trust in AI-driven assessments and compromise educational fairness, making a structured ethical…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Ethics
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Philip M. Newton – Assessment & Evaluation in Higher Education, 2025
There has been considerable speculation about the risk that new generative AI tools like ChatGPT pose to higher education, particularly assessments and cheating. However it is unclear how much risk the UK higher education sector is exposed to. This survey study used a modified list experiment to evaluate that risk. Most students surveyed were…
Descriptors: Foreign Countries, Artificial Intelligence, Cheating, Higher Education
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Caroline Campbell; Lorna Waddington – Journal of Academic Ethics, 2024
This paper reports the key findings from two student surveys undertaken at our institution in the academic years 2020-21 and 2021-22. The research was based on the Bretag et al. (2018) student survey undertaken in various Australian universities. After discussions with both Bretag and Harper, we adapted the questions to our context -- a Russell…
Descriptors: Educational Strategies, Integrity, Cheating, Ethics
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Hadijah Ahmad; Muhammad Ashraf Fauzi – International Journal on Social and Education Sciences, 2024
Higher education institutions (HEI) are increasingly challenged by plagiarism, which threatens their academic standards and integrity. This is due to the fact that students have access to an overwhelming amount of information online, making it easier for them to copy and paste without giving proper credit or attribution. Additionally, the…
Descriptors: Plagiarism, College Students, Educational Technology, Academic Language
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Jessie L. Krienert; Jeffrey A. Walsh; Kevin D. Cannon; Samuel Honan – Journal of the Scholarship of Teaching and Learning, 2024
Implementation of online education pedagogy and practice has expanded rapidly at colleges and universities in recent years, most notably in response to COVID-19. This innovative teaching/learning modality provides benefits to both faculty and students through dynamic teaching/learning content, immense flexibility, and technological investments to…
Descriptors: College Faculty, College Students, Electronic Learning, Cheating
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Hong-xin Zhang; Hongxia Chen – SAGE Open, 2024
The present study aims to examine effective measures to enhance the effects of entrepreneurship education (EE) on university students' entrepreneurial intention (EI) through entrepreneurial self-efficacy (ESE) and grit. The survey used a convenient sample of 758 tourism and hotel management students in China. SPSS macro program PROCESS (Model 4)…
Descriptors: Entrepreneurship, Tourism, Housing, Foreign Countries
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Mads Paludan Goddiksen; Aurélien Allard; Anna Catharina Vieira Armond; Christine Clavien; Hillar Loor; Céline Schöpfer; Orsolya Varga; Mikkel Willum Johansen – International Journal for Educational Integrity, 2024
In this paper, we introduce "Integrity Games" (https://integgame.eu/)--a freely available, gamified online teaching tool on academic integrity. In addition, we present results from a randomized controlled experiment measuring the learning outcomes from playing "Integrity Games." "Integrity Games" engages students in…
Descriptors: Game Based Learning, Educational Technology, Integrity, Cheating
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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
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Bruce Macfarlane; Alison Elizabeth Jefferson; Yu-fen Chen – Journal of Academic Ethics, 2026
While academic cronyism is an acknowledged phenomenon it is rarely the subject of research in higher education except by reference to staff recruitment and academic in-breeding. It constitutes a 'wicked' problem that is complex to understand and investigate since it is based on networks of individuals that are grounded on reciprocal professional…
Descriptors: Periodicals, Faculty Publishing, Authors, Social Networks
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Premat, Christophe – International Journal for Educational Integrity, 2023
The ambition of the article is to create an awareness among upper secondary school pupils on what academic integrity and source criticism mean. Instead of devoting time to a general presentation of academic studies, the claim is that a collective reflection based upon the common practices of pupils (sources) could be efficient to describe the…
Descriptors: Learner Engagement, Secondary School Students, Integrity, Criticism
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Elkhatat, Ahmed M. – International Journal for Educational Integrity, 2023
Academic plagiarism is a pressing concern in educational institutions. With the emergence of artificial intelligence (AI) chatbots, like ChatGPT, potential risks related to cheating and plagiarism have increased. This study aims to investigate the authenticity capabilities of ChatGPT models 3.5 and 4 in generating novel, coherent, and accurate…
Descriptors: Artificial Intelligence, Plagiarism, Integrity, Models
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Costello, Eamon; Brunton, James; Bolger, Richard; Soverino, Tiziana; Juillerac, Clément – Online Learning, 2023
Ethical reviews of research plans function as a cornerstone of good research practice in order that no harm should come to participants. Ethical concerns have taken on a new salience in a digital world where data can be generated at scale. Big data research has grown rapidly, raising increased ethical concerns. Several intersecting areas of big…
Descriptors: MOOCs, Informed Consent, Educational Research, Ethics
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Potter, Michael K.; Raffoul, Jessica – International Journal for the Scholarship of Teaching and Learning, 2023
The scholarship of teaching and learning (SoTL) defines itself as an inclusive field of study, and scholars have long lauded its ability to engage academics from each and every discipline. Yet SoTL's research culture has long been dominated by a narrow conception of social science. As a result, the lived experience of scholars from other…
Descriptors: Alienation, Scholarship, Instruction, Learning
Laura M. Williams; Lauren Serpati; Racheal Killian; Tyson Heath – Intersection: A Journal at the Intersection of Assessment and Learning, 2023
In a time when the value of a college degree is under continuous scrutiny and the opportunity for alternate pathways to workforce readiness is ever-increasing, ensuring high-quality credentials is imperative. However, how can we reassure our students, employers, and other stakeholders that what we offer is high quality? To answer this question, we…
Descriptors: Higher Education, Educational Quality, Educational Assessment, Integrity
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