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Makarova, Marina – Journal of Academic Ethics, 2019
In this article, the main factors of academic cheating and plagiarism in four countries (Russia, US, Poland, and Latvia) are analyzed. Three groups of factors are investigated, namely individual, motivational, and contextual. A mixed method approach has been used, with material including student surveys, interviews with university teachers and…
Descriptors: Cheating, Integrity, Plagiarism, College Students
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Tauginiene, Loreta; Gaižauskaite, Inga; Razi, Salim; Glendinning, Irene; Sivasubramaniam, Shivadas; Marino, Franca; Cosentino, Marco; Anohina-Naumeca, Alla; Kravjar, Julius – Journal of Academic Ethics, 2019
A clear understanding of terminology is crucial in any academic field. When it is clear that complex interdisciplinary concepts are interpreted differently depending on the academic field, geographical setting or cultural values, it is time to take action. Given this, the Glossary for Academic Integrity, newly developed by the European Network for…
Descriptors: Taxonomy, Integrity, Cheating, Plagiarism
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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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Holtfreter, Kristy; Reisig, Michael D.; Pratt, Travis C.; Mays, Ryan D. – Studies in Higher Education, 2020
Little research has investigated the conditions that lead to research misconduct. To develop effective intervention/prevention strategies, this void must be filled. This study administered a mixed-mode survey (i.e. mail and online) to a stratified random sample of tenured and tenure-track faculty in the natural, social, and applied sciences (N =…
Descriptors: College Faculty, Teacher Researchers, Scientific Research, Natural Sciences
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Kasler, Jonathan; Sharabi-Nov, Adi; Shinwell, Eric S.; Hen, Meirav – International Journal for Educational Integrity, 2023
Research has indicated the importance of internal motivation as a factor in reducing academic misconduct in higher education and some commentators have also cited prosocial values as buffers against the temptation to cheat. In light of this research, the goal of the present research was to study the roles of motivation and prosocial values in…
Descriptors: Cheating, Prosocial Behavior, Prevention, Social Values
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Archer, Elizabeth – Perspectives in Education, 2023
The COVID-19 pandemic has led to rapid change, unprecedented in higher education. One such change has been the almost complete shift to online assessment. The simultaneous employment of online assessment and proctoring has not enjoyed the rigorous academic debate and research traditionally associated with such shifts in academia. This engagement…
Descriptors: Computer Assisted Testing, Supervision, Technology Uses in Education, Social Justice
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Yazici, Sedat; Yildiz Durak, Hatice; Aksu Dünya, Beyza; Sentürk, Burcu – Journal of Computer Assisted Learning, 2023
Background: During the COVID-19 period, academics and higher education institutions have shown deep concern about academic integrity related to measurement and evaluation issues that have arisen in online education. Objectives: To address this concern, this paper examined the prevalence of cheating behaviour among university students before and…
Descriptors: Foreign Countries, College Students, Cheating, Student Behavior
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Orok, Edidiong; Adeniyi, Funmilayo; Williams, Tonfamoworio; Dosunmu, Oyebode; Ikpe, Favour; Orakwe, Clifford; Kukoyi, Olasumbo – International Journal for Educational Integrity, 2023
This study aimed to assess the knowledge, perception, influencing factors as well as suggested strategies to reduce academic dishonesty among healthcare students. A cross-sectional design that employed a self-administered online questionnaire was used to collect data among healthcare students in Afe Babalola University, Ado-Ekiti, Nigeria.…
Descriptors: Foreign Countries, Health Services, Health Occupations, College Students
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Araz Zirar – Review of Education, 2023
Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Models
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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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Ebenezer Afrifa-Yamoah; Esther Adama; Amanda Graf; Kwadwo Adusei-Asante – Journal of the Scholarship of Teaching and Learning, 2024
COVID-19 has revolutionised assessment design and practices in higher education; however, there has been no shift in the objective of enhancing the relationship between assessment and learning that promote the holistic development of students. In this study, we provide an empirical evaluation of the perceived effects of assessment practices…
Descriptors: Evaluation Methods, Educational Practices, Undergraduate Students, Foreign Countries
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Yiwen Li – Studies in Applied Linguistics & TESOL, 2024
In the realm of language acquisition, the integration of Artificial Intelligence (AI) presents a promising frontier. However, gaps exist in understanding the practical application of AI-driven tools, particularly in second language learning contexts. This study delves into the usability of ChatGPT, an advanced AI language model, within the domain…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Learning Processes
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Jia, Jiyou; He, Yunfan – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic…
Descriptors: Artificial Intelligence, Supervision, Computer Assisted Testing, Electronic Learning
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Novick, Peter A.; Lee, Jacqueline; Wei, Sujun; Mundorff, Emily C.; Santangelo, Jessica R.; Sonbuchner, Timothy M. – Journal of Microbiology & Biology Education, 2022
The article documents students' experiences with the shift online at the onset of the COVID-19 pandemic and provides informed recommendations to STEM instructors regarding academic integrity and student stress. Over 500 students were surveyed on these topics, including an open-ended question. Students experienced more stress and perceived a…
Descriptors: Online Courses, COVID-19, Pandemics, STEM Education
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Khan, Zeenath Reza; Sivasubramaniam, Shivadas; Anand, Pranit; Hysaj, Ajrina – International Journal for Educational Integrity, 2021
COVID-19 pandemic had an impact on many day-to-day activities but one of the biggest collateral impacts was felt by the education sector. The nature and the complexity of higher education is such that no matter how prepared we are as faculty, how planned our teaching and assessments, faculty are all too aware of the adjustments that have to be…
Descriptors: Electronic Learning, Web Based Instruction, Computer Assisted Testing, Integrity
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