Download Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation PDF Free - Full Version
Download Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation by Shane Safir in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation
Radically reimagine our ways of being, learning, and doingEducation 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 and “fixing and ” and and “filling and ” 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 cultureNow 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.
Detailed Information
| Author: | Shane Safir |
|---|---|
| Publication Year: | 2021 |
| ISBN: | 9781071812662 |
| Language: | English |
| File Size: | 7.3 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation PDF?
Yes, on https://PDFdrive.to you can download Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation by Shane Safir completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation on my mobile device?
After downloading Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation?
Yes, this is the complete PDF version of Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation by Shane Safir. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
