The paper introduces context-aware ubiquitous learning and big data (analytics) as building logics of smart learning environments. Subsequently, the paper concentrates on the development of personalized content and digital learner support services based on the logging of the online behavior of students when using university websites, e-learning platforms, associated social interaction and communication tools, and moreover location-based information connected to mobile access to university sites. The paper shows that the offer of personalized services should rely on user consent with respect to a transparent integration of data on which the service development is based. Such a transparent and reflexive approach to a university’s data management will be required in the European context, in order to comply with the European General Data Protection Regulation, which is going to be enacted in 2018. Moreover, it is an important step in the reduction of (perceived) consumer vulnerability regarding the management of personal data.
CITATION STYLE
Maintz, J. (2018). Smart Learning Environments: Integrating User Consent for a Responsible Data Management when Offering Personalized Learner Services (pp. 107–113). https://doi.org/10.1007/978-3-662-56314-4_8
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