A Data Pipeline to Preserve Privacy in Educational Settings
Rozita Tsoni, Vasilios C. Zorkadis, Vassilios S. Verykios · 2021
In the sensitive field of distance learning data handling should lead to actionable knowledge and, at the same time, ought to respect the privacy of the students. The hype of online learning led to a plethora of data but also raised ethical issues regarding privacy protection which is mainly addressed in the GDPR. There is an optimum equilibrium between making out the most of available data and protecting the individual freedom of the participants. In this paper, we propose a data pipeline that could be incorporated in a Learning Analytics cycle and provide anonymous, low-risk data.