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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
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
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
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
Hinds, Teri Lyn; Floyd, Nancy D.; Ueland, Jeffrey S. – New Directions for Institutional Research, 2021
In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…
Descriptors: Equal Education, Higher Education, Educational Quality, State Policy
Education Trust-West, 2019
With Governor Newsom's signature on the state budget in June 2019, California is finally on the path to joining the majority of other states in the country who have robust data systems. Having this administration provide funding to begin to build and maintain a statewide longitudinal data system (SLDS) is an important win. Advocates have been…
Descriptors: Longitudinal Studies, Data Collection, Equal Education, Family Involvement
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
Data Quality Campaign, 2018
Public interest in social-emotional learning is growing -- and the opportunities under the Every Student Succeeds Act have led many states and districts to consider the role of these skills in schools. As state and local leaders consider and commit to social-emotional learning programming in schools, they also have a responsibility to be…
Descriptors: Social Development, Emotional Development, Skill Development, Data Collection