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Technological frameworks on ethical and trustworthy learning analytics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-86316-6_1openalex-snapshot
Privacy-Driven Learning Analytics
inferredcites →https://doi.org/10.1080/00221546.2020.1770045openalex-snapshot
Whose Data? Which Rights? Whose Power? A Policy Discourse Analysis of Student Privacy Policy Documents
inferredcites →https://doi.org/10.1093/ijlit/6.3.247openalex-snapshot
Data protection pursuant to the right to privacy in human rights treaties
inferredcites →https://doi.org/10.1111/bjet.12152openalex-snapshot
Ethical and privacy principles for learning analytics
inferredcites →https://doi.org/10.1111/bjet.13216openalex-snapshot
The answer is (not only) technological: Considering student data privacy in learning analytics
inferredcites →https://doi.org/10.1111/bjet.13217openalex-snapshot
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?
inferredcites →https://doi.org/10.1111/bjet.13223openalex-snapshot
Privacy risk quantification in education data using Markov model
inferredcites →https://doi.org/10.1111/bjet.13224openalex-snapshot
Implementing next generation privacy and ethics research in education technology
inferredcites →https://doi.org/10.1111/bjet.13226openalex-snapshot
Data privacy on the African continent: Opportunities, challenges and implications for learning analytics
inferredcites →https://doi.org/10.1111/bjet.13232openalex-snapshot
Teachers' trust in AI ‐powered educational technology and a professional development program to improve it
inferredcites →https://doi.org/10.1111/bjet.13233openalex-snapshot
Incorporating AI and learning analytics to build trustworthy peer assessment systems
inferredcites →https://doi.org/10.1111/bjet.13234openalex-snapshot
Students' privacy concerns in learning analytics: Model development
inferredcites →https://doi.org/10.35542/osf.io/86ksqopenalex-snapshot
How do the Existing Fairness Metrics and Unfairness Mitigation Algorithms contribute to Ethical Learning Analytics?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-61187-2_11openalex-snapshot
AI in Education and Learning: Perspectives on the Education Ecosystem
inferred← citeshttps://doi.org/10.1038/s41598-026-44990-8openalex-snapshot
A privacy preserving synthetic learner dataset for learning analytics in technology enhanced higher education
inferred← citeshttps://doi.org/10.1108/ils-07-2023-0091openalex-snapshot
Lifelong learner needs for human-centered self-regulated learning analytics
inferred← citeshttps://doi.org/10.1111/bjet.13576openalex-snapshot
Ensuring privacy through synthetic data generation in education
inferred← citeshttps://doi.org/10.18608/jla.2023.7781openalex-snapshot
New Vistas on Responsible Learning Analytics
inferred← citeshttps://doi.org/10.18608/jla.2023.7983openalex-snapshot
Fairness, Trust, Transparency, Equity, and Responsibility in Learning Analytics
inferred← citeshttps://doi.org/10.18608/jla.2023.8301openalex-snapshot
Adaptive Interventions Reducing Social Identity Threat to Increase Equity in Higher Distance Education
inferred← citeshttps://doi.org/10.18608/jla.2024.8301openalex-snapshot
Adaptive Interventions Reducing Social Identity Threat to Increase Equity in Higher Distance Education
inferred← citeshttps://doi.org/10.18608/jla.2025.8441openalex-snapshot
Assessing Data Landscapes for Quality Education in Latin America: A FAIRness Perspective on Brazil, Colombia, and Peru
inferred← citeshttps://doi.org/10.47852/bonviewijce52024380openalex-snapshot
Onto-epistemological Understandings of Generative Artificial Intelligence in Education
inferred← citeshttps://doi.org/10.55612/s-5002-064-002spopenalex-snapshot
Trustworthy Learning Analytics for Smart Learning Ecosystems
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