Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation - Tapa blanda

Sinopsis

Radically reimagine our ways of being, learning, and doing

Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up―with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing.  

By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book

· Offers fresh ideas and innovative tools to apply immediately

· Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong

· Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture

Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.

"Sinopsis" puede pertenecer a otra edición de este libro.