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Privacy and data protection in learning analytics should be motivated by an educational maxim—towards a proposal
Privacy and data protection are a major stumbling blocks for a data-driven educational future. Privacy policies are based on legal regulations, which in turn get their justification from political, cultural, economical and other kinds of discourses. Applied to learning analytics, do these policies a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294277/ https://www.ncbi.nlm.nih.gov/pubmed/30595748 http://dx.doi.org/10.1186/s41039-018-0086-8 |