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David Lundie – Journal of Comparative and International Higher Education, 2024
Big Data offers opportunities and challenges in all aspects of human life. In relation to research ethics, Big Data represents a normative difference in degree rather than a difference in kind. Data are more messy, rapid, difficult to predict, and difficult to identify owners; but the principles of informed consent, confidentiality, and prevention…
Descriptors: Data, Data Collection, Data Use, Governance
Allyson Skene; Laura Winer; Erika Kustra – International Journal for Academic Development, 2024
This article explores potential uses, misuses, beneficiaries, and tensions of learning analytics in higher education. While those promoting and using learning analytics generally agree that ethical practice is imperative, and student privacy and rights are important, navigating the complex maze of ethical dilemmas can be challenging, particularly…
Descriptors: Learning Analytics, Higher Education, Ethics, Privacy
Bradfield, Owen M. – Research Ethics, 2022
In today's online data-driven world, people constantly shed data and deposit digital footprints. When individuals access health services, governments and health providers collect and store large volumes of health information about people that can later be retrieved, linked and analysed for research purposes. This can lead to new discoveries in…
Descriptors: Data, Health, Ethics, Informed Consent
Mathilde Léon; Shoba S. Meera; Anne-Caroline Fiévet; Alejandrina Cristia – Research Ethics, 2024
The last decade has seen a rise in big data approaches, including in the humanities, whereby large quantities of data are collected and analysed. In this paper, we discuss long-form audio recordings that result from individuals wearing a recording device for many hours. Linguists, psychologists and anthropologists can use them, for example, to…
Descriptors: Foreign Countries, Developing Nations, Data Collection, Audio Equipment
Knox, Jeremy – Learning, Media and Technology, 2023
This paper examines ways in which the ethics of data-driven technologies might be (re)politicised, particularly where educational institutions are involved. The recent proliferation of principles, guidelines, and frameworks for ethical 'AI' (artificial intelligence) have emerged from a plethora of organisations in recent years, and seem poised to…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
Erika Huffman – ACT Education Corp., 2025
Student data is an invaluable asset for driving educational success, yet it comes with significant responsibility. As states explore ways to enhance data privacy protections, they must strike a balance between safeguarding sensitive information and leveraging data for student success. This brief examines the best practices in student data privacy…
Descriptors: Data, Privacy, Best Practices, Testing
Knotek, Steven E.; Dillon, Kerri A.; Toole, Emily N. – Journal of Educational and Psychological Consultation, 2022
Consultee-Centered Consultation (CCC) is built upon the use of a constructivist, interactive approach to support conceptual change in consultees. Constructivism is foundational in ethnographic traditions as well and it focuses on understanding socially constructed meaning-making in cultural groups. Given the importance of constructivism in both…
Descriptors: Consultation Programs, Ethnography, Culture, Qualitative Research
Heslop, Jo; Tamez, Lucia Quintero; Parkes, Jenny – Institute of Education - London, 2021
While violence against children (VAC) has been a long-established global concern, more recently attention has been drawn to how violence occurs in and around schools (VACS) and the role of education in preventing and responding to violence. Whilst awareness about VACS is growing, more robust data are needed to inform policy and practice. Concerns…
Descriptors: Violence, Children, School Violence, Bullying
Samantha Szcyrek; Bonnie Stewart – OTESSA Journal, 2022
Over recent decades, higher education infrastructures have become increasingly digitized and datafied. The COVID-19 pandemic accelerated adoption of online learning platforms, trading the walls of the classroom for digital systems. Yet the surveillance, privacy, and discrimination issues that such systems raise are minimally understood by those…
Descriptors: Global Approach, Higher Education, Technology Uses in Education, COVID-19
Ellen B. Mandinach; Edith S. Gummer – Teachers College Record, 2025
Data ethics have emerged as an essential topic in education. Educators must know how to use data effectively and responsibly. This is a complex and systemic issue that involves bringing awareness to all stakeholders, building human capacity, modifying policy, and considering equitable solutions to data use. This article posits an initial framework…
Descriptors: Data Use, Ethics, Decision Making, Elementary Secondary Education
Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
Odegard, Nina – Contemporary Issues in Early Childhood, 2021
This article draws on a new materialist paradigm to explore bricolaging data from an early childhood research project through an immanent ethical lens. This lens enables the researcher to stretch towards non-hierarchical relationships in between subjects and objects, thinking and doing. A bricoleur explores and builds different…
Descriptors: Data Collection, Early Childhood Education, Ethics, Educational Research
François, Karen; Monteiro, Carlos; Allo, Patrick – Statistics Education Research Journal, 2020
In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and…
Descriptors: Data Collection, Data Analysis, Statistical Analysis, Comprehension
Madeleine Munzer; Nicole Jameson; Arianwen Harris; Ciara Curran; Natalie Dinsdale; Karleen Gribble – Journal of Academic Ethics, 2025
Including women in research and collecting and disaggregating data on sex is an ethical imperative. However, increasingly gender identity is being prioritised over sex in data collection and language which has ethical implications. In this paper, the authors share their experiences as study participants; a health consumer advocate, patient…
Descriptors: Sex, Gender Identity, Research Problems, Research Administration
Gabrielle Lam; Isgard Hueck; Christian Rivera; Patricia Widder – Biomedical Engineering Education, 2025
Biomedical engineering is a rapidly evolving field, with the pace of evolution spurred by technological advancements, the increasing complexity of human health challenges, and globalization of the workforce. It is timely for biomedical engineering educators to explore afresh the competencies that graduates need at present, but more importantly,…
Descriptors: Biomedicine, Engineering Education, College Graduates, Futures (of Society)

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