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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
Lynn Rosalina Gama Alves; William de Souza Santos – Information and Learning Sciences, 2024
Purpose: This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors. Design/methodology/approach: This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution. Findings: The results point to a…
Descriptors: Foreign Countries, Universities, Data, Information Security
Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
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
Leo Van Audenhove; Lotte Vermeire; Wendy Van den Broeck; Andy Demeulenaere – Information and Learning Sciences, 2024
Purpose: The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as…
Descriptors: Data Analysis, Data Collection, Information Literacy, Foreign Countries
Samantha Fu; Charles Davis; Jesse Rothstein; Aparna Ramesh; Evan White – Grantee Submission, 2022
Linking data together can be a powerful way for governments and researchers alike to tackle vexing public policy research problems. However, for researchers, finding ways to link data directly between two departments can often be more challenging than even obtaining the data in the first place. Even when a researcher develops the necessary…
Descriptors: Data Use, Research Methodology, Researchers, Privacy
David B. Warner; Lisa McKee – Journal of Cybersecurity Education, Research and Practice, 2024
Data collection, use, leveraging, and sharing as a business practice and advantage has proliferated over the past decade. Along with this proliferation of data collection is the increase in regulatory activity which continues to morph exponentially around the globe. Adding to this complexity are the increasing business disruptions, productivity…
Descriptors: Information Security, Privacy, Governance, Compliance (Legal)
Aurelia Raquel Rodriguez Mandani – ProQuest LLC, 2024
In the context of the rapid expansion of web-integrated technologies, there exists a need for a thorough comprehension of data privacy, emphasizing risk mitigation and the nuanced governance of private data within organizational and regulatory frameworks. Given the rise of privacy regulations such as the GDPR and CCPA, it has become important for…
Descriptors: Information Technology, Information Security, Compliance (Psychology), Privacy
Hagadone-Bedir, Mariah; Voithofer, Rick; Kulp, Jessica T. – British Journal of Educational Technology, 2023
This conceptual study uses dynamic systems theory (DST) and phenomenology as lenses to examine data privacy implications surrounding wearable devices that incorporate stakeholder, contextual and technical factors. Wearable devices can impact people's behaviour and sense of self, and DST and phenomenology provide complementary approaches for…
Descriptors: Privacy, Information Security, Assistive Technology, Systems Approach
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
Jenay Robert – EDUCAUSE, 2024
Increasingly, data collection and analysis are core functions of higher education institutions. However, an EDUCAUSE QuickPoll revealed that just one in four (25%) of respondents believed the structure of data functions at their institution was ideal for their analytics needs, and only 16% of respondents indicated that their institutional data…
Descriptors: Higher Education, Learning Analytics, Data Collection, Privacy
Gilman Ranogajec, Mirna; Badurina, Boris – Education for Information, 2021
In today's Information society it is an everyday scenario to be a part of an online community such as social media. Participation has become almost mandatory to the point of acting as a virtual extremity to one's physical environment. This virtual extremity is the individual's window to the outside world and vice versa. The process of being a part…
Descriptors: Confidence Testing, Social Media, Information Security, Privacy
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