Privacy-driven Design of Learning Analytics Applications - Exploring the Design Space of Solutions for Data Sharing and Interoperability.
Tore HoelWeiqin ChenPublished in: J. Learn. Anal. (2016)
Keyphrases
- design space
- data sharing
- learning analytics
- design process
- design space exploration
- design solutions
- private data
- data privacy
- distributed data
- semantic interoperability
- data access
- design tools
- information sharing
- data integration
- educational data mining
- differential privacy
- ontology mapping
- privacy protection
- peer to peer
- sensitive data
- learning analytics and knowledge
- homomorphic encryption
- metadata
- privacy preserving
- search space
- optimal solution
- case study
- personal information
- learning theory
- design principles
- data model
- user interface