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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
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Qinyi Liu; Ronas Shakya; Jelena Jovanovic; Mohammad Khalil; Javier Hoz-Ruiz – British Journal of Educational Technology, 2025
High-volume, high-quality and diverse datasets are crucial for advancing research in the education field. However, such datasets often contain sensitive information that poses significant privacy challenges. Traditional anonymisation techniques fail to meet the privacy standards required by regulations like GDPR, prompting the need for more robust…
Descriptors: Privacy, Data, Information Security, Compliance (Legal)
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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
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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)
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Pucciarelli, Alexandra; May, Emma – Education for Information, 2023
The increased accessibility of technology is often employed as rationale for data extraction and surveillance. This paper examines critical perspectives on surveillance and educational technologies from Library and Information Science (LIS) literature, as well as those from disability studies that concern technology development more broadly. This…
Descriptors: Educational Technology, Social Justice, Access to Computers, Social Bias
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Chen Zhan; Srecko Joksimovic; Djazia Ladjal; Thierry Rakotoarivelo; Ruth Marshall; Abelardo Pardo – IEEE Transactions on Learning Technologies, 2024
Data are fundamental to Learning Analytics (LA) research and practice. However, the ethical use of data, particularly in terms of respecting learners' privacy rights, is a potential barrier that could hinder the widespread adoption of LA in the education industry. Despite the policies and guidelines of privacy protection being available worldwide,…
Descriptors: Privacy, Learning Analytics, Ethics, Data Use
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van Driel, Sharisse; Jarodzka, Halszka; Crasborn, Frank; van Strien, Johan; Brand-Gruwel, Saskia – International Journal of Research & Method in Education, 2023
Although various academic disciplines use data papers to support effective research practices, data papers are still uncommon in the educational sciences. Main goals of data papers are enhancing transparency regarding research processes and supporting data sharing among researchers and thus, open science. As many educational research projects…
Descriptors: Classroom Techniques, Educational Research, Data Use, Data Analysis
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Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
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Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
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Mary Francis; Mejai Bola Mike Avoseh; Karen Card; Lisa Newland; Kevin Streff – Journal of Learning Analytics, 2023
This single-site case study will seek to answer the following question: how is the concept of privacy addressed in relation to a student success information system within a small, public institution of higher education? Three themes were found within the inductive coding process, which used interviews, documentation, and videos as data resources.…
Descriptors: Privacy, Online Systems, Small Colleges, Public Colleges
State Educational Technology Directors Association, 2021
Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…
Descriptors: Data, Information Security, Student Records, Learning Analytics
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Mann, Emily Zoe; Jacobs, Stephanie A.; Kinsley, Kirsten M.; Spears, Laura I. – Information and Learning Sciences, 2023
Purpose: Building on past studies of library privacy policies, this review looks at how privacy information is shared at universities and colleges in the state of Florida. Beyond the question of whether a library-specific privacy policy exists, this review evaluates what is covered in the policies -- whether topics such as how student data is…
Descriptors: Academic Libraries, Policy Analysis, Privacy, Student Records
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Hutt, Stephen; Baker, Ryan S.; Ashenafi, Michael Mogessie; Andres-Bray, Juan Miguel; Brooks, Christopher – British Journal of Educational Technology, 2022
Learning analytics research presents challenges for researchers embracing the principles of open science. Protecting student privacy is paramount, but progress in increasing scientific understanding and improving educational outcomes depends upon open, scalable and replicable research. Findings have repeatedly been shown to be contextually…
Descriptors: Learning Analytics, Educational Research, Online Courses, Privacy
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Makar, Katie; Fry, Kym; English, Lyn – ZDM: Mathematics Education, 2023
Much of the mathematics that children experience in school neglect the skills increasingly needed for citizenship, particularly the power of complex data to investigate and make sense of the world. We draw on the relatively new field of data science as a multi-disciplinary approach to investigate problems through analysis of massive, non-standard,…
Descriptors: Elementary School Students, Citizenship Education, Data Science, Mathematics Education
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
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