Towards Guidelines for Data Protection and Privacy in Learning Analytics Implementation

Nomos Verlagsgesellschaft mbH & Co. KG eBooks, pp. 45–52

Abstract

While leveraging data collected from learners to improve teaching and learning outcomes has an inherently desirable end goal, Learning Analytics researchers have to be aware of data protection policies and the justified desire for privacy while learning when rolling out such data collection ef forts.Successful implementation requires knowing legal frameworks, coor dinating with the personnel responsible at the individual institution, and clearly and openly communicating the extent and goal of the data collection effort to the learners and teachers.In this paper, we present existing community guidelines and our own experiences from a rollout of Learning Analytics in the DigiLab4U project.

Authors 3

1. Jens Doveren Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Learning Technologies Research Group Ahornstr. 55 52074 Aachen , Germany

2. Birte Heinemann Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Learning Technologies Research Group Ahornstr. 55 , 52074 Aachen , Germany

3. Ulrik Schroeder Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Learning Technologies Research Group Ahornstr. 55 52074 Aachen , Germany