01841cam a2200289 i 4500 500683834 TxAuBib 20210422120000.0 210217s2021||||||||||||||||||||||||eng|u 9781071812716 paperback 1071812718 paperback TxAuBib rda Street data : a next-generation model for equity, pedagogy, and school transformation / Shane Safir, Jamila Dugan, Carrie Wilson. First edition. Thousand Oaks, California : Corwin, 2021. pages cm. txt rdacontent n rdamedia nc rdacarrier 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. 20210422. Educational equalization United States. Educational change United States. School improvement programs United States.