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Olivier Leclerc; Nicolas Klausser – Research Ethics, 2025
Reporting and investigating research misconduct can lead to disciplinary proceedings being initiated, and ultimately to disciplinary sanctions being imposed on convicted scientists. The conversion of research misconduct findings into disciplinary sanctions is poorly understood. This article analyses all the disciplinary decisions handed down on…
Descriptors: College Faculty, Graduate Students, Researchers, Ethics
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E. Löfström; H. Pitkänen; A. Cekanauskaite; V. Lukaševiciene; S. Kyllönen; E. Gefenas – Journal of Academic Ethics, 2025
This research focuses on how research ethics committee and integrity board members discuss and decide on solutions to case scenarios that involve a dimension of research ethics or integrity in collaborative settings. The cases involved issues around authorship, conflict of interest, disregard of good scientific practice and ethics review, and…
Descriptors: Research, Ethics, Integrity, Boards of Education
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Solmaz Filiz Karabag; Christian Berggren; Jolanta Pielaszkiewicz; Bengt Gerdin – Journal of Academic Ethics, 2025
Breaches of research integrity have gained considerable attention due to high-profile scandals involving questionable research practices by reputable scientists. These practices include plagiarism, manipulation of authorship, biased presentation of findings and misleading reports of significance. To combat such practices, policymakers tend to rely…
Descriptors: Foreign Countries, Universities, Social Science Research, Social Services
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Meghan E. Carey; Kiley J. McLean; Kyle Chvasta; Ashley de Marchena; Anne M. Roux – Autism: The International Journal of Research and Practice, 2025
Alongside the rise in online qualitative research, fraudulent representation of research participants is increasing, and current strategies to address this issue within studies of non-neurodiverse samples may exclude autistic voices. Seeking to reduce fraudulent or "scammer" participation in our focus group study, and increase data…
Descriptors: Autism Spectrum Disorders, Research Design, Research Methodology, Research Problems
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Lydia Arnold; James Croxford – Teaching in Higher Education, 2025
Authentic assessment is a widely discussed concept in higher education, but it has a problem: the concept has become so all-encompassing that its meaning is now unclear. The notion has been expanded and diluted. For example, adding social justice to the definition or positioning exams as authentic, adds to the contradictions inherent within in the…
Descriptors: Performance Based Assessment, Higher Education, Vocabulary, Evaluation Methods
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Emily J. Ryan; Lori Sherlock; Edward Ryan; Miriam Leary – Advances in Physiology Education, 2025
Academic dishonesty is becoming more common among university students in science, technology, engineering, and mathematics (STEM)-based programs. This is concerning because these students hold positions of responsibility in their professional careers. The purpose of this qualitative study was to examine if a student's academic standing and/or…
Descriptors: College Freshmen, Ethics, Integrity, Cheating
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Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
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Daniel Kangwa; Mgambi Msambwa Msafiri; Antony Fute – Journal of Computer Assisted Learning, 2025
Background: This study explored the factors that influence the balance between academic integrity and the effective use of GenAI tools in higher education. It focused on the role of institutional guidelines in enhancing the responsible use of GenAI technologies to enhance academic integrity. Objectives: The study was theoretically grounded in the…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Higher Education
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Manit Malhotra; Indu Chhabra; Salil Bharany; Ateeq Ur Rehman; Seada Hussen – Discover Education, 2025
The field of online education has increasingly recognized digitally automated proctoring as a prominent and pressing issue in recent years. The increasing prevalence of online examination deception has prompted a heated debate. The purpose of the study is to capture advancements in this research field, offering a concise overview of current…
Descriptors: Electronic Learning, Online Courses, Supervision, Integrity
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Nguyen Khoa Viet – Journal of Academic Ethics, 2025
The integration of generative AI tools in higher education presents both significant opportunities and challenges. This paper addresses two key questions: how AI should be incorporated into higher education and what ethical and pedagogical principles should guide its use. While AI enhances creativity, efficiency, and personalized learning, it also…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Ethics
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Junrie B. Matias; Gladys L. Lagura; Grace T. Flores; Trixie E. Cubillas; Laurence B. Calagui; Myron T. Cubillan; Ritchfildjay L. Mariscal; Erlin S. Rodas; Miraluna L. Herrera; Renante P. Tabudlong – Journal of Education and Learning (EduLearn), 2025
The COVID-19 pandemic caused unprecedented disruption worldwide, forcing higher education institutions to adopt blended learning. This sudden shift posed numerous challenges for both students and faculty members, making it essential to accurately evaluate teaching performance and effectiveness. Caraga State University, for instance, assesses…
Descriptors: Student Evaluation of Teacher Performance, Student Evaluation, Integrity, Influences
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Nuria Brufau Alvira; Peter Bannister; Alexandra Santamaría Urbieta – Higher Education Quarterly, 2025
This study, conducted at a fully online Spanish higher education institution, documents the validation of a bespoke quality assessment tool designed to measure the susceptibility of formative assignments to AI academic misconduct. The research explored the impact of Generative AI (GenAI) technologies in the Humanities. The framework study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Foreign Countries
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Jennifer Sdunzik; Ann M. Bessenbacher; Wilella D. Burgess; Asia M. Mohamud; Abdirisak Dalmar – American Journal of Evaluation, 2025
The success of development projects and evaluations hinges on having access to research protocols and methodologies that consider the needs and characteristics of stakeholders, subjects, and context while remaining rigorous and culturally sound. These efforts are often complicated by a dearth of tools that have been tested for validity and…
Descriptors: Foreign Countries, Program Evaluation, International Programs, Data Collection
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Guo-lin Wang; Goodarz Shakibaei; Fidel Çakmak – British Educational Research Journal, 2025
Language learning practices have transformed significantly due to the advent of digital technologies like artificial intelligence (AI) tools and gamified mobile applications. This study explored the effects of gamified mobile language learning (GMLL) and AI-assisted language learning (AIALL) on academic integrity, creative trait motivation and…
Descriptors: Gamification, Second Language Learning, English (Second Language), Males
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Lancaster, Thomas – Journal of Academic Ethics, 2021
Is academic integrity research presented from a positive integrity standpoint? This paper uses Natural Language Processing (NLP) techniques to explore a data set of 8,507 academic integrity papers published between 1904 and 2019.Two main techniques are used to linguistically examine paper titles: (1) bigram (word pair) analysis and (2) sentiment…
Descriptors: Cheating, Integrity, Natural Language Processing, Educational Research
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