Data Science

EdTech

How We Increased Teachers’ Data Use Without Data Overload

By: Debbie Clark and Stephanie Williamson. The problem is not that schools aren’t collecting enough information about student performance. It’s that teachers have too much data. It’s overwhelming for them. They don’t know what data points to focus on—and they don’t have time to be combing through massive amounts of data to figure out what students need.

Network Effect

South Fayette Schools: A Computational Carnival for Kids

What do you get when you combine a makerspace, science fair and coding bootcamp? South Fayette School District, the best example of integrated computational thinking we’ve seen in K-12 education. Learn more in the second entry of our 6-part #RemakeLearning series here.

EdTech

Skip Coding, Teach Data Science

While there is high demand for coding skills today, artificial intelligence will increasingly take over routine coding jobs as it grows in sophistication. The longer term and larger employment and impact opportunities for today's students lie in data science.

EdTech

Getting Smart on Data Interoperability

This Smart Bundle features case studies from the perspective of educators and administrators, as well as a series of profiles that share how companies are thinking, planning and guiding their product development process to address these user needs.