The language gap between rich and poor children begins at birth.  In fact, Stanford University research found that 2-year-old children of lower income families may already be 6 months behind in language development.  Early learning gives the strongest return on investment, providing a clear path to a college education and career success.

Footsteps2Brilliance is excited to announce our partnership with College Bound from Birth. Designed and delivered by the early childhood education experts at Collaborative for Children, College Bound from Birth is a three-year quality improvement program offered at no cost in selected neighborhoods throughout Texas.  Program components aim to improve the quality of early learning, leading to kindergarten readiness.  Nobel Prize winning economist, James Heckman, whose research has proven the economic benefits of quality early learning, serves on the Collaborative for Children’s Advisory Board.

We are thrilled to announce the release of our brand new data dashboards!

Based on extensive collaboration between our education and engineering teams, the new dashboards leverage big data solutions to provide just-in-time, actionable data for teachers and administrators. Best of all, the data dashboards are easy to interpret and appealing for early-grade teachers to work with. Teachers can easily answer:

• Who is falling behind?
• What are students' strengths and weaknesses?
• How can I group students to best serve individual needs?
• Are students making progress?
• Which books are students reading?
• Are students developing as writers?

And, of course, the new dashboards make it easier than ever to virtually take attendance and monitor student activity.

With data dashboards, we completely rethought what proficiency data looks like. No more endless charts and tables. Instead, we’ve created a tool that teachers will enjoy coming back to again and again, to find new ways to help their students excel.

To get started exploring your data, simply click Dashboards when you log in on myf2b.com