Privacy and data protection in learning analytics should be motivated by an educational maxim-towards a proposal
Abstract 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 p...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
The Asia-Pacific Society for Computers in Education (APSCE),
2018-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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