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Elizabeth Langran; Paula Cristina R. Azevedo; Oliver Dreon; Stephanie Smith Budhai; Clara Hauth – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay presents a framework of critical questions designed to guide EdD program leaders and faculty in integrating generative artificial intelligence (GenAI) into their curricula and policies. The REPAC framework aids in reflecting, reenvisioning, and redesigning educational practices to better incorporate GenAI, focusing on how candidates…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing
Mona Farouk Ali – Research Evaluation, 2025
Research evaluation (RE) has experienced a major global transformation prompted by the emergence and increasing usage of digital citation platforms such as the Web of Science and Scopus, opening up avenues for scientometric evaluation (SE). This relatively novel evaluation method represents an essential pillar for the scientific committees for…
Descriptors: Foreign Countries, Decision Making, Faculty Promotion, Committees
Patrik Holm; Ulrik Terp; Christina Fjaeraa Alfredsson – Discover Education, 2025
Academic dishonesty is a growing problem in higher education. This study examines students' attitudes toward cheating. The sample consisted of 318 students enrolled in health science courses at a Swedish university. A survey-based quantitative approach was employed, integrating qualitative responses from open-ended questions. We investigated…
Descriptors: Cheating, Student Attitudes, College Students, Tests
Lebohang Victoria Mulaudzi; Joleen Hamilton – Journal of Academic Ethics, 2025
This qualitative study explores lecturers' perspectives on the role of artificial intelligence (AI) in personalised learning within higher education. The rapid proliferation of AI has introduced numerous ethical challenges, including the potential for academic dishonesty and misuse. One concern highlighted in this study is maintaining academic…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
Hassan Hessari; Ankit Agarwalla; Mohammad Bai; Morteza Vahedian; Ali Bai – International Journal on E-Learning, 2025
This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Learning Processes
Fahd Ali Raza; Abtar Darshan Singh; Jonathan Jeevan Strinivas Kovilpillai; Analisa Hamdan; Vaikunthan Rajaratnam – European Journal of STEM Education, 2025
Artificial Intelligence (AI) is rapidly reshaping educational systems worldwide, raising critical debates about the reliability of AI-generated content, the validity of AI-driven assessments, and the ethical implications of its integration into diverse learning environments. This study examines the integrity of AI-enhanced education within the…
Descriptors: Foreign Countries, Integrity, Artificial Intelligence, Stakeholders
Miron, Jennie; McKenzie, Amanda; Eaton, Sarah Elaine; Stoesz, Brenda; Thacker, Emma; Devereaux, Lisa; Persaud, Nira; Steeves, Marcia; Rowbotham, Kate – Canadian Journal of Educational Administration and Policy, 2021
In this article we report findings from a review of universities' academic integrity policies in Ontario, Canada. The research team systematically extracted, reviewed, and evaluated information from policy documents in an effort to understand how these documents described contract cheating in Ontario universities (n = 21). In all, 23 policies were…
Descriptors: Integrity, Ethics, Cheating, Outsourcing
Ashford, Theresa – Journal of Academic Ethics, 2021
Academic integrity (AI) is a complex problem that challenges how we view action, intentions, research, and knowledge production as human agents working with computers. This paper proposes that a productive approach to support AI is found at the nexus of behavioural ethics and a view of hybrid app-human agency. The proposal brings together AI…
Descriptors: Integrity, Cheating, Plagiarism, Technology Uses in Education
Mulisa, Feyisa; Ebessa, Asrat Dereb – Cogent Education, 2021
There has been a growing interest in determining whether dishonesty in college can be transferred to the professional workplace. There have been few, yet scarce, studies that focused on the link between college and workplace dishonesty. This review aims to bring into the limelight evidence-based consistency of the links between college and…
Descriptors: Ethics, College Students, Student Behavior, Employees
Astaneh, Behrooz; Schwartz, Lisa; Guyatt, Gordon – Journal of Academic Ethics, 2021
Authorship of a scientific paper is important in recognition of one's work, and in the academic setting, helps in professional promotion. Conflicting views of authorship have led to disputes and debates in many scientific communities. Addressing ethical issues in medical research and publishing, and conforming to the requirements of international…
Descriptors: Authors, Faculty Publishing, Medical Research, Conflict
Matthew J. Salter – ProQuest LLC, 2021
The purpose of this study was to determine if an individual's level of grit can serve as a factor of persistence in master's prepared student affairs professionals in the higher education profession. While research exists on burnout and why people leave the field of student affairs, this study sought to explore if grit is a factor in persistence…
Descriptors: Integrity, Persistence, Student Personnel Workers, Masters Degrees
Prinsloo, Paul; Slade, Sharon; Khalil, Mohammad – British Journal of Educational Technology, 2022
Evidence shows that appropriate use of technology in education has the potential to increase the effectiveness of, eg, teaching, learning and student support. There is also evidence that technology can introduce new problems and ethical issues, e.g., student privacy. This article maps some limitations of technological approaches that ensure…
Descriptors: Student Records, Data, Privacy, Learning Analytics
Isbell, Daniel R.; Brown, Dan; Chen, Meishan; Derrick, Deidre J.; Ghanem, Romy; Arvizu, María Nelly Gutiérrez; Schnur, Erin; Zhang, Meixiu; Plonsky, Luke – Modern Language Journal, 2022
Scientific progress depends on the integrity of data and research findings. Intentionally distorting research data and findings constitutes scientific misconduct and introduces falsehoods into the scientific record. Unintentional distortions arising from questionable research practices (QRPs), such as unsystematically deleting outliers, pose…
Descriptors: Data Analysis, Applied Linguistics, Research Problems, Integrity
McGrath, Robert E. – Journal of Education, 2022
This article summarizes issues in defining character education (CE) that are relevant to program development and evaluation. No authoritative definition exists for CE, but several features seem prominent. These include a focus on enhancing civic, moral, self-regulatory, and/or intellectual virtues; and (at least implicitly) prioritizing the…
Descriptors: Values Education, Citizenship Education, Moral Values, Program Content
Duncan, Mary Katherine; Geist, Kendall – Teaching of Psychology, 2022
Background: The American Psychological Association (APA) has called on undergraduate psychology programs to embed training in ethics throughout their curricula. Although guidelines and resources exist, research on students' understanding of and ability to apply the discipline's ethical principles is limited. Objective: The purpose of this study…
Descriptors: Psychology, Undergraduate Students, Ethics, Student Attitudes

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