Title: Discussion on the Challenges of Data Analytics in Education
Course: Assessment Using Digital Technology > Section: Automated Assessment and Data Analytics

In this discussion, we address the challenges and dilemmas related to the use of data analytics in educational settings.

The focus of the discussion is on identifying and jointly reflecting on the practical and ethical challenges that accompany the use of educational analytics, including:

- the interpretation of quantitative data
- recognising what data do (and do not) say about learning
- issues of privacy, consent, and transparency
- the limitations of automated decision-making systems in education

Task:

- share your own reflection on a specific challenge related to data analytics in education (from the perspective of a teacher, learning designer, or administrator)
- comment on one or more contributions by your peers, suggesting a possible solution, a question for further reflection, or a link to relevant theoretical concepts

Questions for discussion:

1. Which types of data do you find most useful for improving your teaching – and why?
2. What is your biggest challenge when interpreting results from the LMS?
3. How would you respond in a situation where data suggest changes that are not aligned with your pedagogical beliefs?
4. Where do you see the line between useful analytics and a threat to privacy?

Note

- The instructor will moderate the discussion, pose additional questions to deepen reflection, and, if needed, provide additional materials and examples to support the conversation.
- If you share an example of digital content (a link or a screenshot), you must include the source.
- By participating in this activity, you can earn 1 point (formative assessment). The activity is not mandatory, but it is recommended for your learning and the exchange of experience.

Discussion is open until: __________________________