Imprint Privacy Policy Terms of Use

Terms of Use for the Insitura Platform

1. General

‍The Insitura Platform is released as open-source software. It may be used, shared, and modified free of charge – under the condition that any derivative works are also published under the same conditions. License: European Union Public Licence (EUPL)

2. Obligations for Reuse‍

If you modify the source code or incorporate it into your own projects, you must:

  • also make your modified source code publicly available,
  • reference the original license and the original project,
  • not impose any more restrictive conditions.

3. Alternative Use Without Implementation Effort

‍If you do not wish to operate, adapt, or further develop the project yourself, you can obtain the service through Swiss Learning Analytics.

Swiss Learning Analytics is a non-profit organization that emerged from research projects at the University of Bern in collaboration with BeLEARN. It develops privacy-compliant solutions tailored to the legal framework and specific needs of the Swiss education system.

Swiss Learning Analytics offers:

  • professional setup, maintenance, and customization of the open-source Insitura Platform,
  • consulting and training for teachers and learners – on effective learning with digital tools, use of the Insitura Platform, and application of Learning Analytics,
  • data analysis or support in analyzing data collected via the Insitura Platform.

4. Research Collaboration

‍If you are interested in using or further developing parts of the Insitura Platform within a research project, feel free to contact Swiss Learning Analytics.

Swiss Learning Analytics is based on an interdisciplinary network of experts from both practice and academia in psychology, education, mathematics, computer science, and the social and economic sciences.

The association supports researchers in developing open-source tools based on or related to the Insitura Platform and using them for scientific research questions. It also empowers researchers to apply Learning Analytics methods to investigate how teaching and learning processes can be improved through data-driven approaches.

5. Disclaimer

‍This software is provided "as is" without any warranty. The authors assume no liability for damages resulting from its use.

6. Contributions

‍By contributing (e.g., code, bug reports, or ideas), you agree that your contributions may also be published under the same license.