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

街区数据:有关公平、教育学和学校转型的新一代模型

教育学原理

原   价:
317.5
售   价:
254.00
优惠
平台大促 低至8折优惠
发货周期:预计5-7周发货
作      者
出  版 社
出版时间
2021年06月01日
装      帧
平装
ISBN
9781071812716
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页      码
280
开      本
254*177mm
语      种
英文
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库存 30 本
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图书简介
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 bookOffers fresh ideas and innovative tools to apply immediatelyProvides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrongExplores 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
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