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Privacy-Driven Design of Learning Analytics Applications: Exploring the Design Space of Solutions for Data Sharing and Interoperability
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Hoel, Tore; Chen, Weiqin – Journal of Learning Analytics, 2016
Studies have shown that issues of privacy, control of data, and trust are essential to implementation of learning analytics systems. If these issues are not addressed appropriately, systems will tend to collapse due to a legitimacy crisis, or they will not be implemented in the first place due to resistance from learners, their parents, or their…
Descriptors: Privacy, Data Analysis, Computer Oriented Programs, Systems Development