Reading: Ethical guidelines for the use of data in education and implementation of learning analytics

3. Responsibility of organisations/institutions

The implementation of learning analytics, as well as its ethical aspects, does not depend solely on individuals (teachers). It is crucial that such practices are supported and guided at the institutional level.

Institutional responsibilities related to the ethical use of data and learning analytics include:

  1. defining which data are collected and displayed, why and how they are used, and who is responsible for learning analytics, while ensuring a focus on improving education
  2. promoting learning analytics as a tool that can contribute to student success, while ensuring equal opportunities and fair treatment of different student groups (including underrepresented and vulnerable groups), and preventing potential negative consequences
  3. promoting understanding that learning analytics cannot provide a complete insight into individual learning processes, as it may not take into account all aspects of learning or personal circumstances
  4. ensuring that students have appropriate autonomy in making decisions about their own learning, supported by learning analytics
  5. ensuring the necessary resources for learning analytics (human, technical, financial) and its ethical use
  6. encouraging the development of data literacy among students and teachers needed to participate in learning analytics, implement it, and use its results
  7. providing opportunities for the professional development of teachers in the area of ethical application of learning analytics
  8. identifying and mitigating potential risks associated with the use of learning analytics
  9. raising awareness of the potential of learning analytics to contribute to equity and fairness in education
  10. integrating the ethical use of data and learning analytics into institutional strategic documents, goals, and procedures
  11. developing an organisational culture of ethical data use and learning analytics, including encouraging staff to act in accordance with these guidelines
  12. promoting the sharing of good practices in the ethical use of data and learning analytics
  13. appointing individuals/committees responsible for the ethical use of data and the implementation of learning analytics, including handling complaints
  14. assuming responsibility and control over data and their processing
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