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Pizzolato, Daniel; Dierickx, Kris – Journal of Academic Ethics, 2023
Scientific malpractice is not just due to researchers having bad intentions, but also due to a lack of education concerning research integrity practices. Besides the importance of institutionalised trainings on research integrity, research supervisors play an important role in translating what doctoral students learn during research integrity…
Descriptors: Foreign Countries, Research, Integrity, Supervision
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Li, Tianxin; Brown, Gavin T. L.; Hawe, Eleanor – Assessment & Evaluation in Higher Education, 2023
Student self-assessment research underscores the significance of honestly recognizing strengths and weaknesses, facilitating self-regulated learning and progress. The Integrated Quality Assessment (IQA) in China combines self-assessment with other data to evaluate achievement, serving dual purposes: promoting students' awareness of their strengths…
Descriptors: Foreign Countries, Integrity, Cheating, Student Attitudes
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Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
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Estel·la Ramírez-Baraldes; Daniel García-Gutiérrez; Cristina García-Salido – European Journal of Education, 2025
To explore the opportunities and challenges of artificial intelligence (AI) in nursing and its impact. Bibliographic review using Arksey and O'Malley's framework, enhanced by Levac, Colquhoun and O'Brien and following PRISMA guidelines, including qualitative and mixed studies. MeSH terms and keywords such as nursing education and ethical…
Descriptors: Artificial Intelligence, Nursing, Nursing Education, Barriers
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Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
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Chun-Hua Hsiao; Kai-Yu Tang – Education and Information Technologies, 2025
The rapid development of generative AI (GenAI), such as ChatGPT, has created both opportunities and challenges for its use in education. Some educators have expressed concern that such rapid report generation from AI may encourage cheating or hinder the development of critical thinking skills in students. Moving beyond mere acceptance, we propose…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Ethics
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Stinne Glasdam; Katharina Ó. Cathaoir; Sigrid Stjernswärd – Journal of Academic Ethics, 2025
International research collaborations engage multiple countries, researchers, and universities. This enhances the magnitude of contextual challenges, including legal and ethical dimensions across various jurisdictions, that must be bridged in qualitative research regardless of discipline, also in the construction of informed consents. From a…
Descriptors: Foreign Countries, Legal Problems, Ethics, Informed Consent
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Ikram Ullah; Wajid Khan – Journal of Academic Ethics, 2025
Pakistan's evolution into a research-centric nation, recognized by Clarivate Analytics, suggests a transition towards a knowledge-based economy. However, the prevalence of academic dishonesty within Pakistan's academic institutions raises concerns, potentially impeding the realization of its intellectual prowess. This research therefore examines…
Descriptors: Foreign Countries, Predictor Variables, Cheating, Plagiarism
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Aditi Jhaveri – Journal of the Scholarship of Teaching and Learning, 2025
This essay examines the potential impact of paid-for or premium language models, where some students may be able to afford advanced models generating superior outputs while others could face inequities due to financial constraints. It explores how this dynamic can exacerbate the digital divide, challenge traditional as well as more recent…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Equal Education
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Katsarov, Johannes; Andorno, Roberto; Krom, André; van den Hoven, Mariëtte – Educational Psychology Review, 2022
This article reviews educational efforts to promote a responsible conduct of research (RCR) that were reported in scientific publications between 1990 and early 2020. Unlike previous reviews that were exploratory in nature, this review aimed to test eleven hypotheses on effective training strategies. The achievement of different learning outcomes…
Descriptors: Research Training, Integrity, Meta Analysis, Effect Size
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Alireza Maleki; Sedigheh Karimpour – Journal of Academic Ethics, 2026
The shift to online platforms has heightened concerns about academic misconduct, particularly contract cheating, where students outsource work to third parties. While research has examined perceptions of this issue, less attention has been given to concrete teacher-led strategies, especially within English as a Foreign Language (EFL) contexts.…
Descriptors: Language Teachers, Cheating, Computer Assisted Testing, English (Second Language)
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Veronika Krásnican; Inga Gaižauskaite; William Bülow; Dita Henek Dlabolova; Sonja Bjelobaba – Journal of Academic Ethics, 2024
Given the prevalence of misconduct in research and among students in higher education, there is a need to create solutions for how best to prevent such behaviour in academia. This paper proceeds on the assumption that one way forward is to prepare students in higher education at an early stage and to encourage a smoother transition from academic…
Descriptors: Integrity, Ethics, Student Behavior, Supervision
ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics
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Jeannette Pols; Amade M'charek; Sonja Jerak-Zuiderent; Jonna Brenninkmeijer – Learning and Teaching: The International Journal of Higher Education in the Social Sciences, 2024
There are worries about the quality of scientific research, the validity of the knowledge it produces and the integrity of academics. What is lacking in the debate is what scientists have to say and what they do to create and safeguard what they see as 'good science'. Using Dutch academia as a case, we show that the academics' understandings of…
Descriptors: Scientific Research, Integrity, Best Practices, Scientists
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Jill L. Swisher; Lori B. Doyle – Journal of Research on Christian Education, 2024
This article aims to utilize an adapted version of Trentham's Inverse Consistency Protocol (ICP) as a way in which any ecclesial organization can act productively when confronted with seemingly controversial paradigms such as social emotional learning (SEL). The ICP can help Christian leaders discern potential areas of inconsistency or affirm…
Descriptors: Religious Education, Social Emotional Learning, Christianity, Instructional Leadership
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