Privacy and data protection in learning analytics should be motivated by an educational maxim - towards a proposal.
Tore HoelWeiqin ChenPublished in: Res. Pract. Technol. Enhanc. Learn. (2018)
Keyphrases
- learning analytics
- data protection
- educational data mining
- personal data
- legal issues
- sensitive information
- privacy protection
- access control
- data privacy
- learning design
- networked learning
- technology enhanced learning
- data security
- personal information
- learning analytics and knowledge
- privacy preserving
- disclosure risk
- information security
- educational settings
- private information
- visual analytics
- privacy concerns
- data integrity
- data quality
- privacy preserving data mining
- sensitive data
- information loss
- e government
- data mining
- quantitative methods
- data sets
- database