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Mikkel Godsk; Pernille Risør Elving – Journal of Interactive Learning Research, 2024
The article provides an answer to the question: 'How can ChatGPT be used as an educational technology for learning?' by identifying its educational benefits and downsides for teaching and learning as seen from the educators' perspective. To answer this question a mixed methods case study was carried out in the context of two workshops involving a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Learning Processes
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E. A. J. Terblanche; Annelien Adriana van Rooyen; P. C. Enwereji – Discover Education, 2024
The COVID-19 pandemic accelerated the implementation of online assessments at an unprecedented pace. The pandemic required most higher education institutions worldwide to implement online assessments almost overnight. The study aimed to gain an understanding of auditing students' perceptions of online assessments and e-proctoring systems during…
Descriptors: Computer Assisted Testing, Supervision, Student Attitudes, Electronic Learning
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Martin Daumiller; Tanja Fritz; Hernán González Cruz; Selma C. Rudert; Stefan Janke – Assessment & Evaluation in Higher Education, 2024
Academic dishonesty threatens the integrity of performance assessment, making it crucial to understand the various types and predictors of such behavior. Second-party cheating, which refers to aiding and abetting cheating behaviors, is similarly prevalent as individualistic cheating, yet has received limited research attention. We follow up on…
Descriptors: Cheating, Prosocial Behavior, Goal Orientation, Cooperation
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Yingying Jiang; Lindai Xie; Guohui Lin; Fangfang Mo – Education and Information Technologies, 2024
ChatGPT has surprised academia with its remarkable abilities but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of…
Descriptors: Artificial Intelligence, Computer Software, College Faculty, Social Media
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Pritpal Singh Bhullar; Mahesh Joshi; Ritesh Chugh – Education and Information Technologies, 2024
ChatGPT has emerged as a significant subject of research and exploration, casting a critical spotlight on teaching and learning practices in the higher education domain. This study examines the most influential articles, leading journals, and productive countries concerning citations and publications related to ChatGPT in higher education, while…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
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Rowena Harper; Felicity Prentice – International Journal for Educational Integrity, 2024
Teaching staff play a pivotal role in the prevention, detection and management of cheating in higher education. They enact curriculum and assessment design strategies, identify and substantiate suspected cases, and are positioned by many as being on the 'front line' of a battle that threatens to undermine the integrity of higher education. Against…
Descriptors: College Faculty, Teacher Attitudes, Cheating, Prevention
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Eva Dias-Oliveira; Catarina Morais; Rita Pasion; Julia Hodgson – SAGE Open, 2024
The Fraud Diamond theory (rationalization, opportunity, motivation and perceived capability) has been widely used as a framework to explain criminal behavior. However, little is known about its application in an academic context. Research on the relationship between the prevalence of academic fraud (e.g., cheating on exams, plagiarizing essays)…
Descriptors: College Students, Student Behavior, Student Attitudes, Deception
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Yovav Eshet; Keren Grinautsky; Pnina Steinberger – International Journal for Educational Integrity, 2024
Despite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics…
Descriptors: Ethics, Anxiety, Cheating, Integrity
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Charles Freiberg – Educational Philosophy and Theory, 2024
The release of ChatGPT at the end of 2022 demonstrated to many educators that writing or, at least, the type of writing often asked of students had been automated. While this rightfully raised a host of practical concerns, mostly around cheating, it should also raise questions about what kind of intellectual life the liberal arts will open once…
Descriptors: Artificial Intelligence, Liberal Arts, Philosophy, Automation
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Hani Morgan – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
ChatGPT, a type of generative artificial intelligence, recently became the fastest-growing app of all time, with over 100 million users. The increasing use of this chatbot has led educators to fear that its use will cause various problems, including cheating. However, using ChatGPT can lead to desirable outcomes. Teachers can use this technology…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Shashi Nallaya; Sheridan Gentili; Scott Weeks; Katherine Baldock – Issues in Educational Research, 2024
Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…
Descriptors: Test Validity, Test Reliability, Cheating, Higher Education
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Chukwuemeka Ihekweazu; Bing Zhou; Elizabeth Adepeju Adelowo – Information Systems Education Journal, 2024
This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical…
Descriptors: Ethics, Artificial Intelligence, Responsibility, Technology Uses in Education
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Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
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Edmund De Leon Evangelista – Contemporary Educational Technology, 2025
The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…
Descriptors: Artificial Intelligence, Integrity, Educational Strategies, Natural Language Processing
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Gwyneth Cliver – Unterrichtspraxis/Teaching German, 2025
Since fall 2021, the author has practiced a method of ungrading, labor-based contract grading, in all courses in the small German program at the University of Nebraska at Omaha. The author has anecdotally observed less anxiety, fewer incidents of cheating, more cooperation among students, stronger rapport between students and instructors, growth…
Descriptors: Motivation, Anxiety, Stress Management, Grading
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