As an education industry, most of our Ed-Fi work has focused around system integration. Once an interoperable data ecosystem is in place, what’s next? How can we elicit educator action? How do we use data to inform decisions? How do we surface the right insights at the right time to help improve outcomes?
This webinar will answer these key questions and explore:
Approaches to visualization to place data in the hands of educators
Data quality processes to ensuring data being visualized is accurate
Best practices for longitudinal data analysis
How machine learning can be used to predict student at-risk, CCR outcomes, statistical analysis to determine educator impacts on student outcomes, and more.