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Clinciu, Aurel Ion; Cazan, Ana-Maria; Ives, Bob – SAGE Open, 2021
The tendency to cheat is consubstantial to any kind of education and training process involving work and effort. The study was conducted on 194 participants, first- and second-year students from the bachelor and master's programs from several engineering and humanities faculties from Brasov. The Academic Adjustment Questionnaire and the Academic…
Descriptors: Ethics, Cheating, Student Behavior, College Students
McCoy, Brian – Liberal Education, 2021
When faced with pervasive--and increasingly creative--forms of plagiarism and cheating, what should faculty members do? Give in? Give up? Or should they consider the classic break-up line "It's not you--it's me" and make changes in the ways they assess student learning? If faculty truly wish to increase student success and decrease acts…
Descriptors: Cheating, Plagiarism, Teacher Role, Teaching Methods
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Dejene, Wondifraw; HUI, Sammy King Fai – Cogent Education, 2021
The purpose of this study was to examine Ethiopian secondary school students' level of engagement, justification, and perceived severity of academic cheating behaviors. A mixed research approach was employed. In the study, 1246 students randomly selected from public and private secondary schools participated. Data were collected using…
Descriptors: Foreign Countries, Cheating, Student Attitudes, Ethics
Eaton, Sarah Elaine; Crossman, Katherine; Anselmo, Lorelei – Online Submission, 2021
Purpose: This report documents research and related materials concerning plagiarism in STEM and engineering programs to inform and guide future work in the field. It provides an overview of the literature up to and including 2019 related to plagiarism in STEM and engineering programs. Methods: Two research questions guided this literature review:…
Descriptors: Plagiarism, Cheating, Engineering Education, College Students
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
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Paula Lentz – Business and Professional Communication Quarterly, 2024
This article argues that ethical authorship is essential for the ethical use of artificial intelligence (AI). It examines tensions that historical understandings of authorship have created as instructors and students alike navigate AI technologies. Given these tensions, this article proposes a definition of "ethical authorship" and uses…
Descriptors: Ethics, Artificial Intelligence, Moral Values, Authors
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Rami F. Mustafa – Higher Education Studies, 2024
Academic writing courses are critical in higher education. However, they often rely on directive measures, or "shoves," that impose rigid guidelines, high-stakes assessments, and punitive consequences. These approaches, such as inflexible deadlines and harsh grading penalties, can increase student anxiety, disengagement, and surface…
Descriptors: Writing Instruction, Academic Language, Direct Instruction, High Stakes Tests
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Suraj Ajit; Aparna Maikkara; Wendy Ramku – Cogent Education, 2024
The advent of remote learning and the over-representation of international students in contract cheating literature have contributed to the beliefs that a digital pathway to higher education necessitates academic malpractice, and that this phenomenon is more prevalent among non-native students. This study seeks to contribute to the existing…
Descriptors: Foreign Countries, Foreign Students, Contract Training, Contracts
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Pasty Asamoah; Daniel Zokpe; Richard Boateng; John Serbe Marfo; Sheena Lovia Boateng; David Asamoah; Abdul Samed Muntaka; John Frimpong Manso – Cogent Education, 2024
The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on…
Descriptors: Artificial Intelligence, Ethics, Intellectual Disciplines, Knowledge Level
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Thuli G. Mthembu; Tibuyile L. Dube; Tijana Milojevic; Beverly P. Ndaramu; Philasande Nyangaza; Siyamtanda O. Qolo; Candice Steenkamp – Transformation in Higher Education, 2024
Students including health sciences at universities that appear to subscribe to neoliberal logic are at risk for social injustices and inequalities, anxiety, depression, academic demands and unethical activities. There has been little discussion about students' self-care and well-being in and beyond the neoliberal universities. This article…
Descriptors: Daily Living Skills, Well Being, Health Sciences, Social Justice
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Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
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Colin Green; Eric Brewe; Jillian Mellen; Adrienne Traxler; Sarah Scanlin – Physical Review Physics Education Research, 2024
This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty from the United States following the Spring 2020 term; of these, 258 completed a follow-up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores…
Descriptors: Teacher Attitudes, Online Courses, Physics, Science Instruction
Michele Lee Hudson – ProQuest LLC, 2024
It's well-known that motivation is essential for learning and how well students do in school. Research also suggests that a student's motivation is likely connected to their behavior in the classroom. This study was particularly interested in understanding how different types of student motivation (e.g., wanting to learn vs. wanting to look good)…
Descriptors: Goal Orientation, Behavior Problems, High School Students, Academic Achievement
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Garza Mitchell, Regina L.; Parnther, Ceceilia – New Directions for Community Colleges, 2018
This chapter describes how one community college addresses academic integrity education and provides recommendations for implementing and enforcing policies and practices across the college.
Descriptors: Community Colleges, Integrity, School Policy, Cheating
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Sierra-Díaz, Manuel Jacob; González-Víllora, Sixto; Fernandez-Rio, Javier – Journal of Teaching in Physical Education, 2023
Purpose: The goal was twofold: (a) to analyze the evolution of sportspersonship attitudes and negative values along a learning unit using the contextualized sport alphabetization model and (b) to determine the associations between sportspersonship and self-determined motivation. Method: The study followed a preexperimental, cross-sectional design…
Descriptors: Ethics, Physical Education, Grade 4, Elementary School Students
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