Solutions: place-based inquiry activities that develop core content knowledge and skills, supplemented by explicit instruction in skills. Strong curriculum pathways that lead to credentials.

We can predict student outcomes months before they drop out or fail a course, using only the data patterns students produce when (and if) they log in and learn.

We've built a system that can deliver prediction and support in higher ed, and built it to serve K-12 too. We just need to connect with K-12 district partners who have need and interest.

https://tarheels.live/learninganalytics/

KY has student teacher stipends supported by their General Assembly: https://apps.legislature.ky.gov/law/statutes/statute.aspx?id=54580

OK has one, too: https://readytogether.sde.ok.gov/sites/default/files/2021-07/Paid%20Student%20Teaching%20Initiative.pdf

Winston-Salem TEACH is doing this in partnership with local foundations!

I agree with this! I think Maryland is also doing this. I also think specific teaching fellows programs for rural school districts where they partner on that program to bring local students back to teach in their districts.

Expand the work of research practice partnerships! We need more collaborative work between our districts and universities to support academic success

I agree with Christina about paying student teachers!!!

Big idea: Center all children in all decisions for ECE

are hesitant to take on one more thing and often say they don't want to add anything to their teachers' plates. If research is seen as support and teachers have the opportunity to choose to participate rather than a districts or school decide for them, it would help everyone.

We're ready to partner with teachers and instructional leaders to help them make better use of their digital tools – and the data students produce when they learn – to improve the ways they support NC students' learning and achievement.

We're also ready to partner with district leaders who need better, pedagogy-aligned tools that use data about learning processes to notice learners who are on a path to bad outcomes, based on learners who behaved like them, not who just simply resemble them. We're ready to overcome stereotypes and biases in data use and help model learning and learners in ways that see dropout, stopout, and poor achievement before they happen, and build tools and resources teachers and families can use to engage learners. https://tarheels.live/learninganalytics/the-science-of-learning-to-learn/