Data literacy for learning analytics (for students)

About this Content OER

This course provides a comprehensive introduction to data literacy in the context of Learning Analytics (LA) for students. Given the diverse challenges posed by the use of LA, it is important to develop a curriculum that takes into account the different skill levels and needs of students and teachers.
The training materials are specifically tailored to the needs of students. They are given guidance to derive actions based on LA data about their own learning behaviour.
The course uses a variety of interactive elements such as video, audio and text as well as H5P elements to provide an engaging learning experience. It is divided into different action areas that allow learners to gradually build their data literacy and develop practical skills in using learning analytics.

This course is suitable for students of all skill levels and specialisms who wish to develop their data literacy in the area of learning analytics. No specific prior knowledge is required.


  • Derivation of measures for own learning behaviour
  • Development of data competences
  • Learning practical skills in dealing with learning analytics
  • Author
    Tabea Schwarz
  • Faculty
    Humanities and Social Sciences
  • Format
  • Licence

    This work and its contents are - unless otherwise stated - licensed under CC BY-SA 4.0. Please attribute according to the TULLU rule as follows: „Data Literacy für Learning Analytics (für Studierende)" by Tabea Schwarz, license: CC BY-SA 4.0

  • Date of Publication
    Wed, 04/24/2024 - 13:00 (updated on Wed, 04/24/2024 - 13:02)