Learning Observer Events

Listing of events related to the Learning Observer

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AI-ED 2024 Learning Observer Workshop

Morning Session: Organization and Governance

July 12, 2024, Recife, Brazil

The aspirational goal of this session is to help come up with an ideal model for how we ought to manage student data. At present, it’s a mess! We have data spread out over hundreds of systems, with an incredible security perimeter, placing students at risk. At ths same time, there is no way to make coherent insights from this data, either about individual students or systemically.

The practical goal is to give participants a clear sense of trade-offs in this space, form the perspectives of diverse stakeholders, and to collect feedback on the approach we are pursuing. This will be structured as a double-jigsaw:

Jigsaw 1:

At this point, you should have a clear understanding of some of the trade-offs in designing this sort of project from a legal, cutural, and policy perspective. From here, we will provide our tentative approach.

Jigsaw 2:

Finally:

Schedule

We have a tentative schedule is, but depending on how things go, we may remove sections to allow more time (e.g. if there is good discussion). The intention, however, is very much to keep things rushed and moving quickly. We expect groups might not have time to finish. That’s okay; this is about learning and deep cognitive engagement with the problem (not about the final outputs).

9am-10:30am

11am-1pm

Jigsaw A Groups

  1. Risk analysis, past, present, and future What are the risks which come from the types of data we are collecting, aggregating, and analyzing?
  2. Legal frameworks What are the legal requirements on how we maintain our data?
  3. Family rights and family engagement What kinds of data do families need to advocate for their students? For other students? To be informed, engaged citizens?
  4. Psychometric values How have we thought about these problems in the community of educational measurement?
  5. Other approaches What can we learn from related initiatives?
  6. Global perspectives
  7. Technocratic models
  8. Open science and research
  9. Governance, corruption, and accountability
  10. Alignment to good classroom practice
  11. ML Perspectives
  12. Accelerating research