Share Paper: An Open Learning Analytics Systems Ensuring Students’ Privacy

  1. David Sichau, ETH Zurich, Switzerland
  2. Lukas Fässler, ETH Zürich, Switzerland
Friday, June 29 11:05-11:25 AM Oost

Abstract: With the rise of learning analytics the collection, storage and analyses of educational data became important. Often the data is generated and collected in different learning management systems the students interact with and the combination of the collected data is challenging. Another challenge is to ensure the privacy of the collected data. This paper describes the requirements for an open learning analytics system which allows easy extension with different data providers and ensures the the privacy of the collected data.