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Nicole Taylor; Angela VandenBroek – Field Methods, 2025
Penciling, a technique used to anonymize images for both human and machine vision, offers an opportunity to reduce technical traceability and retain visual data for online and social media research contexts. Drawing on methods for creating composite narrative and visual accounts to preserve participant anonymity, penciling enables researchers to…
Descriptors: Social Media, Visual Aids, Data Collection, Privacy
Kalista Peña – Tribal College Journal of American Indian Higher Education, 2025
Native nations have long proven their resilience against the odds, consistently paving a path forward and exercising their sovereign rights as autonomous, self-governing peoples. As the world embarks upon an increasingly digital age, Indigenous peoples face a new threat: datafication. Datafication is "turning nearly every aspect of human life…
Descriptors: Minority Serving Institutions, Tribally Controlled Education, Tribal Sovereignty, Data Use
Wells Ling; Amber Morseau – Tribal College Journal of American Indian Higher Education, 2025
The federal trust responsibility is a legal obligation, rooted in legal and political precedent, in which the U.S. government commits to protect tribal sovereignty, resources, and welfare. For Indigenous communities, there is a long history of broken promises between the U.S. and tribal governments through discriminatory policies and a lack of…
Descriptors: Consortia, American Indians, Higher Education, Minority Serving Institutions
John Y. H. Bai; Olaf Zawacki-Richter; Wolfgang Muskens – Turkish Online Journal of Distance Education, 2024
Artificial intelligence in education (AIEd) is a fast-growing field of research. In previous work, we described efforts to explore the possible futures of AIEd by identifying key variables and their future prospects. This paper re-examines our discussions on the governance of data and the role of students and teachers by considering the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Governance
Vallée, Etienne; Hsu, Yu-Chang – TechTrends: Linking Research and Practice to Improve Learning, 2023
The adoption by the African Union of its Convention on Cyber Security and Personal Data Protection in 2014 represented a step forward to protect personal data and to ensure that data remain private and secure. This is especially important for students, who often have no autonomy in the educational technology they use. Students cannot choose why…
Descriptors: Privacy, Information Security, Data Collection, Student Records
Blackmon, Stephanie J. – Change: The Magazine of Higher Learning, 2023
Student privacy is a critical area of higher education that deserves greater focus, particularly as student data digitalization increases. Many colleges and universities use data literacy as a way to prepare students, sometimes from different disciplines, to work with others' data postgraduation. Data literacy can be an avenue for helping all…
Descriptors: Privacy, Data Collection, Data Use, Higher Education
Susan Willey; Ivy R. White – Journal of Legal Studies Education, 2025
Businesses use facial recognition software, fingerprint scanning, and other biometric tools in the workplace and/or commercial establishments. Concerned with the collection, use, retention, and security of biometric data, and the impact of these practices, Illinois enacted the Biometric Information Privacy Act in 2008. We designed a project that…
Descriptors: Human Body, Nonverbal Communication, Recognition (Psychology), Privacy
Attai, Linnette – Educational Leadership, 2019
With the growth of tech-driven instructional possibilities, school systems have an increasingly urgent responsibility for schools to continuously assess and improve student data-protection practices. Attai, a project director for the Consortium for School Networking, outlines a program designed to help education leaders master the fundamentals of…
Descriptors: Privacy, Information Security, Administrator Responsibility, Data Collection
Andy Johnson; Shawn Miller – Advanced Distributed Learning Initiative, 2023
The purpose of this document is to provide techniques to assist Department of Defense (DoD) acquisition personnel with the integration of learning technology standards into their Information Technology acquisition processes. This document supports Department of Defense Instruction (DoDI) 1322.26 and the updated DoDI 1322.26 references. This…
Descriptors: Government Employees, Lifelong Learning, Data Collection, Learning Activities
Data Quality Campaign, 2022
State legislators have the opportunity to create and support legislation that positions data as a tool to help decisionmakers at all levels take action to support student success. This checklist can serve as a guide to crafting legislation that addresses education data. It applies specifically to education data legislation which includes bills…
Descriptors: State Legislation, Data Collection, Data Analysis, Educational Policy
Data Quality Campaign, 2025
For states to build statewide longitudinal data systems that empower people with access to information about education and workforce pathways, state leaders must consider the human capacity they already have, and must develop, to support this work. Building the human capacity required to manage, analyze, and protect data means investing in and…
Descriptors: Longitudinal Studies, Data Collection, Access to Information, Capacity Building
Paige Kowalski – State Education Standard, 2024
Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…
Descriptors: State Boards of Education, State Agencies, Public Education, Privacy
Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
Annie Irvine – International Journal of Social Research Methodology, 2024
Engaging with primary researchers during qualitative secondary analysis is a practice much recommended but rarely written about. In this article, I reflect on my experience of crossing an imagined boundary between the discrete textual dataset and its creators, of acknowledging and engaging with those researchers who invested in constructing the…
Descriptors: Researchers, Foreign Countries, Primary Sources, Research Methodology
Diffusion of an Innovation: Lessons from the Multistate Longitudinal Data Exchange. MLDE Issue Brief
McKay, Heather; Haviland, Sara; Michael, Suzanne; Leibrandt, Sarah – Western Interstate Commission for Higher Education, 2020
Why do some innovations in policy or practice take off, while others fizzle out? Social scientists and policy experts have grappled with this question for decades, studying the diffusion of new ideas and examining how and why states, organizations, and institutions adopt innovations to their policies or practices. In recent years, states have…
Descriptors: Educational Innovation, Data Collection, Shared Resources and Services, Elementary Secondary Education

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