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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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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
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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
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Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
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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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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
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Abukari Kwame; Pammla M. Petrucka – Journal of Academic Ethics, 2024
Gaining ethical approval for qualitative health research and implementing all the planned research processes in a proposed study are not straightforward endeavours. The situation becomes more complex when qualitative research is conducted in a cross-national healthcare and academic context. Also, it is even exhausting when the study is…
Descriptors: Ethics, Doctoral Students, Student Research, Informed Consent
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Greenhalgh, Spencer P.; DiGiacomo, Daniela K.; Barriage, Sarah – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to examine how higher education students think about educational technologies they have previously used -- and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context. Design/methodology/approach: The authors conducted two surveys about students'…
Descriptors: Ethics, Privacy, Learning Management Systems, Learning Analytics
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Allison Starks; Stephanie Michelle Reich – Information and Learning Sciences, 2024
Purpose: This study aims to explore children's cognitions about data flows online and their understandings of algorithms, often referred to as algorithmic literacy or algorithmic folk theories, in their everyday uses of social media and YouTube. The authors focused on children ages 8 to 11, as these are the ages when most youth acquire their own…
Descriptors: Concept Formation, Children, Social Media, Video Technology
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Nurul Hazlina Noordin – Journal of Media Literacy Education, 2024
This study examines the levels of Media and Information Literacy (MIL) among underprivileged communities, shedding light on their digital literacy and online behaviour. Rooted in the UNESCO Media and Information Literacy framework, focusing on specific dimensions of MIL, with an emphasis on assessing the ability to retrieve, critically evaluate,…
Descriptors: Media Literacy, Information Literacy, Disadvantaged, Technological Literacy
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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
Molnar, Alex; Boninger, Faith – Phi Delta Kappan, 2020
A school-focused commercializing process over 100 years in the making has been turbo-charged by the rise of data-collecting digital educational platforms and a pandemic that has forced widespread use of distance learning. Alex Molnar and Faith Boninger explain how advertising to students creates what John Dewey would call "mis-educative…
Descriptors: Commercialization, Educational Change, Privatization, Public Schools
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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
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Sanfilippo, Madelyn Rose; Apthorpe, Noah; Brehm, Karoline; Shvartzshnaider, Yan – Information and Learning Sciences, 2023
Purpose: This paper aims to address research gaps around third party data flows in education by investigating governance practices in higher education with respect to learning management system (LMS) ecosystems. The authors answer the following research questions: How are LMS and plugins/learning tools interoperability (LTI) governed at higher…
Descriptors: Privacy, Governance, Learning Management Systems, Information Technology
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