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Kate Chatfield; Emma Law – Research Ethics, 2024
Evidence suggests that the incidence of research misconduct is not in decline despite efforts to improve awareness, education and governance mechanisms. Two responses to this problem are favoured: first, the promotion of an agent-centred ethics approach to enhance researchers' personal responsibility and accountability, and second, a change in…
Descriptors: Researchers, Ethics, Moral Values, Behavior Standards
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Mohammad Hosseini; David B. Resnik – Research Ethics, 2025
Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…
Descriptors: Artificial Intelligence, Plagiarism, Writing for Publication, Periodicals
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Kristyn Sessions – Journal of College and Character, 2024
In the last several decades, service-learning has become a key feature of higher education. In this article, I argue that the work of Christian feminists Letty M. Russell and Sharon D. Welch enriches current scholarship on service-learning by drawing attention to foundational ethical issues. The first section of the article provides background on…
Descriptors: Service Learning, Higher Education, Christianity, Feminism
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Erin J. Heys – Educational Policy, 2025
For decades, policymakers in the U.S. have leveraged accountability policy as a governing tool to lift school performance and close the achievement gap. Accountability become so widespread that it arguably became a "policy paradigm" with the passage of the federal No Child Left Behind (NCLB) Act in 2002. Yet after just 13 years of…
Descriptors: Accountability, Educational Legislation, Federal Legislation, Elementary Secondary Education
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Parian Haghighat; Denisa Gandara; Lulu Kang; Hadis Anahideh – Grantee Submission, 2024
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…
Descriptors: Prediction, Learning Analytics, Multivariate Analysis, Regression (Statistics)
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Javier Mula-Falcón; Katia Caballero – Journal of Applied Research in Higher Education, 2025
Purpose: Improving and assuring the quality of higher education has become a key element of policy agendas worldwide. To this end, a complete accountability system has been developed through various evaluation procedures. Specifically, this study analyzes the perceptions of university teaching staff on the impact of performance appraisal systems…
Descriptors: College Faculty, Teacher Attitudes, Performance Based Assessment, Teacher Evaluation
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Sarah M. Stitzlein – Educational Theory, 2024
Populists employ truth as a tool for aligning the people against the elite. Citizenship education rarely takes up critiques of liberal democracy, discussions of populism, or conversations about what truth is. This paper provides an alternative pragmatist vision of truth that builds on the populist call for democracy to better reflect the will of…
Descriptors: Citizenship Education, Democracy, Pragmatics, Political Attitudes
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Denisa Gandara; Hadis Anahideh – Society for Research on Educational Effectiveness, 2024
Background/Context: Predictive analytics has emerged as an indispensable tool in the education sector, offering insights that can improve student outcomes and inform more equitable policies (Friedler et al., 2019; Kleinberg et al., 2018). However, the widespread adoption of predictive models is hindered by several challenges, including the lack of…
Descriptors: Prediction, Learning Analytics, Ethics, Statistical Bias
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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Rochelle Gutiérrez; Kari Kokka; Marrielle Myers – Journal of Mathematics Teacher Education, 2024
The sanctioned language around "mathematics teacher knowledge" in the US centers pedagogy, content (mathematical knowledge), and students. Yet, this teacher learning approach often promotes (explicitly or implicitly) teaching and learning of mathematics that operationalizes mathematics as rigid, as a gatekeeper, and only useful for…
Descriptors: Mathematics Instruction, Mathematics Teachers, Preservice Teachers, Ethics
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Haijing Tu – Journal on Excellence in College Teaching, 2024
This article explores the efficacy of AI used for teaching and learning tools. First, it examines three critical aspects of AI use in teaching and learning: AI complexity, algorithmic transparency, and AI bias. Second, it reviews recent literature that investigates the benefits and challenges of implementing AI within college classrooms. It…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Instruction, Instructional Effectiveness
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Song Yang; Ying Dong; Zhong Gen Yu – International Journal of Information and Communication Technology Education, 2024
AI chatbots, e.g. ChatGPT, are becoming increasingly popular in education as a means to enhance student learning experiences and improve teaching efficiency. This study utilizes NVivo 12 Plus to examine the role of AI chatbots in education, ethical considerations, and sentimental analysis regarding the utilization of ChatGPT in education. ChatGPT…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Ethics
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Phillip Dawson; Margaret Bearman; Mollie Dollinger; David Boud – Assessment & Evaluation in Higher Education, 2024
Cheating attracts a significant amount of attention in conversations about assessment, and with good reason: if students cheat, we cannot be sure they have met the learning outcomes of their course. In this conceptual article we question the attention given to cheating as a concept and argue that the broader concept of validity is a more important…
Descriptors: Cheating, Ethics, Inclusion, Test Validity
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Richard D. Sawyer; Joe Norris – Advances in Research on Teaching, 2024
In this chapter, we purport that "excessive entitlement" is directly linked to concepts of self/identity with the belief that how we come to regard self in relation to the Other is implicitly and explicitly taught. We view excessive entitlement as a manifestation of the privilege and infallibility of educators who take for granted the…
Descriptors: Teacher Attitudes, Expectation, Self Concept, Professional Identity
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Honglu Zhang; Darren Powell – Educational Review, 2024
The implementation of Olympic education in schools is a requirement for any host country of the Olympic Games, including the 2022 Olympic and Paralympic Winter Games in China. However, there are no strict requirements for host countries in terms of what their Olympic education programme should look like or how they must be implemented. Rather,…
Descriptors: Foreign Countries, Athletics, Ethics, Ethical Instruction
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