Data-driven instruction promises more personalized education by collecting and analyzing student data. However, commercial interests in data and concerns around privacy raise questions. While technology in schools and results-focused teaching drive data use, limitations include issues around over-reliance on data and ensuring benefits reach all students. Overall, data-driven instruction shows promise but more discussion is needed around its appropriate implementation and limitations.

1. Data-driven Instruction
Benefits And Limitations

2. Whatever you do is registered and becomes data
https://www.youtube.com/watch?v=ydh7aXcam58

3. From Big Data to Learning Analytics

4. The first driver: technology equipped schools

5. The second driver: results-oriented teaching

6. The third driver: commercial interests

7. The US case
https://www.youtube.com/watch?v=K_wAHEHTy-g

8. So, what are the promises?

9. The AltSchool case
https://www.youtube.com/watch?v=gyV7zQbnX7E

10. Many questions arising

11. So, what?

13. Grazie
F.Pedro@UNESCO.org
Disponibile:
/francescpedro
Anche:
@FrancescPedroED
/francesc.pedroED