Group items tagged

This is a very public effort to promote the discussion of computational thinking. In the video they make the following statement, "Many teachers may already be teaching these skills. Computational thinking provides shared vocabulary and a framework to unify teachers' efforts." which I think is a great way to connect with what is already going on.

I think that this has some deep parallels to scientific data literacy. The focus on pedagogy is very interesting.

This is a great example of how environmental sensors can be used to collect local data and feed into shared databases. It would be really interesting to think about what types of school science could be tied to this resource.

Great discussion of some of the ways that Cliff's research engages students in thinking about error, variation, repeated measures, and the relationships between models and data.

This collection of assessment techniques for mathematical thinking is interesting. I like the categories they have created and there are lots of examples. Many of them relate to working with data.

This talk addresses a wide range of issues in computer science education. The primary argument is that there are a set of skills that transcend the discipline and should be part of everyones skill set. I see lots of parallels with data literacy.  Presented by Mark Guzdial, a professor in the School of Interactive Computing at Georgia Institute of Technology.

I think this argument about pedagogical content knowledge has direct relevance to teaching scientific data literacy skills. We don't even have clear ideas about what our goals are - making it very difficult to build expertise in this area.