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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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Kyle M. L. Jones; Amy VanScoy; Alison Harding; Amy Martin – Journal of Computing in Higher Education, 2025
To explore various stakeholders' understanding of student privacy and how protections for it are enacted on their campus, we conducted interviews with 27 faculty, instructional designers, and academic librarians at Very High Research Activity universities across the United States. Although there were no interview questions concerning the pandemic,…
Descriptors: Privacy, Governance, Student Needs, Instructional Design
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Shujun Liu; Luke Sloan; Tarek Al Baghal; Matthew Williams; Curtis Jessop; Paulo Serôdio – International Journal of Social Research Methodology, 2025
Linking survey and social media data has gained popularity. However, obtaining consent from respondents to link social media is a known challenge. Using data from a nationally representative survey of the U.K. this study investigated whether respondents' a) activity frequency, b) activity variety and c) technical skills with smartphones are…
Descriptors: Surveys, Hypermedia, Social Media, Privacy
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Alev Üstündag; Sedef Irem Önlü; Irem Nur Akdeniz – Journal of Learning and Teaching in Digital Age, 2025
The research was conducted to determine whether there is a relationship between adolescents' social media privacy protection skills and social media addiction levels. A total of 499 adolescents between the ages of 15 and 18 participated in this correlational study. The study used a Personal Information Form, the Social Media Privacy Protection…
Descriptors: Social Media, Computer Security, Addictive Behavior, Adolescents
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Katherine McDonald; Madison Brodeur; Ariel Schwartz – Journal of Applied Research in Intellectual Disabilities, 2025
Background: We identified participant-level risks and safeguards in social-behavioural research with adults with developmental disabilities. Method: We conducted a qualitative systematic review on risks and safeguards in peer-reviewed research with adults with developmental disabilities. We identified research reporting on risks and safeguards…
Descriptors: Adults, Developmental Disabilities, Research, Risk
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Ángela González-Villa; Adriana Gewerc – E-Learning and Digital Media, 2024
Social networks are colonised by a culture of confession that turns teenager privacy into a commodity to achieve recognition and social acceptance. This display accelerates the porosity of the boundaries between the public and the private and feeds surveillance capitalism. The aim of this systematic review is to examine the empirical evidence on…
Descriptors: Adolescents, Social Networks, Privacy, Interaction
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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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Nguyen, Andy; Ngo, Ha Ngan; Hong, Yvonne; Dang, Belle; Nguyen, Bich-Phuong Thi – Education and Information Technologies, 2023
The advancement of artificial intelligence in education (AIED) has the potential to transform the educational landscape and influence the role of all involved stakeholders. In recent years, the applications of AIED have been gradually adopted to progress our understanding of students' learning and enhance learning performance and experience.…
Descriptors: Ethics, Artificial Intelligence, Educational Policy, Privacy
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Tian Luo; Pauline S. Muljana; Xinyue Ren; Dara Young – Educational Technology Research and Development, 2025
The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…
Descriptors: Artificial Intelligence, Familiarity, Instructional Design, Brainstorming
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Seda Özer Sanal; Büsra Çiçek – British Journal of Educational Technology, 2024
In addition to learning effectively and effectively in online learning communities (OLCs), students must be in a secure environment and privacy must be respected. The study aimed to identify privacy violations that university students encounter in OLCs, and identify recommendations and some strategies to implement to ensure privacy at the OLC. A…
Descriptors: Communities of Practice, Electronic Learning, Privacy, College Students
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Sean Groth; Erica Southgate – Australian Educational Researcher, 2024
Contemporary education is being undeniably shaped by datafication, and while new algorithmic and automated decision-making processes can have educational benefits, they also raise issues about children's digital rights and education policy responses to these rights. This study mapped how children's digital right to privacy and related human rights…
Descriptors: Foreign Countries, Childrens Rights, Internet, Privacy
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Shu, Di; Li, Xiaojuan; Her, Qoua; Wong, Jenna; Li, Dongdong; Wang, Rui; Toh, Sengwee – Research Synthesis Methods, 2023
Missing data complicates statistical analyses in multi-site studies, especially when it is not feasible to centrally pool individual-level data across sites. We combined meta-analysis with within-site multiple imputation for one-step estimation of the average causal effect (ACE) of a target population comprised of all individuals from all…
Descriptors: Meta Analysis, Outcomes of Treatment, Privacy, Attribution Theory
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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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Stacey Lynn von Winckelmann – Information and Learning Sciences, 2023
Purpose: This study aims to explore the perception of algorithm accuracy among data professionals in higher education. Design/methodology/approach: Social justice theory guided the qualitative descriptive study and emphasized four principles: access, participation, equity and human rights. Data collection included eight online open-ended…
Descriptors: Prediction, Algorithms, Racism, Accuracy
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Jacqueline Roos; Andrea Möhn; Albert Ponsioen; Robert Didden – Journal of Developmental and Physical Disabilities, 2025
To observe changes in three clients with intellectual disabilities and severe behavioral problems and staff in a long-term care residential facility after redesigning the clients' rooms by making them more personal and homely, adjusting the amount of stimuli, changing the layout, connecting to the outdoor area, and using high-quality natural…
Descriptors: Intellectual Disability, Behavior Problems, Facility Improvement, Residential Care
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