Advocating for compassionate and human-centered data collection and analysis in education

 
 

I've been really really really really really honored to support the work of Dr. Jeff Duncan-Andrade and Dr. Allyson Tintiangco-Cubales while at Teaching Excellence Network (TEN.) They are revolutionary educators who work tirelessly to train teachers to better serve their communities. I could go on and on about the courage, kindness and devotion I've witnessed in these two humans, but maybe that's best saved for a conversation over coffee so you can see me cry in person. 

TEN has a lab school in Oakland, CA called Roses in Concrete. Jeff founded the school at the behest of his former high school students who had grown up and now had children of their own - they wanted him to teach their children like he had taught them. 

TEN and Roses have teamed up to be part of the Building Equitable Learning Environments (BELE) Network, an initiative of the Raikes Foundation. As part of this network, we're sharing our commitment and practices of creating educational equity at Roses and in the other schools we work with through TEN. 

My contribution to the BELE Network has been to blend all I've learned from supporting Jeff, Allyson and the hundreds of passionate educators involved with TEN and my training in user centered design practices to create a guiding document on equitable data collection, analysis and use. 

The document both lays out how data collection, analysis and display can harm oppressed communities and perpetuate biases while also providing concrete examples of how to create online and offline forms that lessen this harm. In the article, I also address how to display data in a way that doesn't perpetuate bias and include an ever-evolving checklist to help catch bias before it makes its way into our forms and presentations to start with. Our fellow organizations in the BELE Network have used the document to spur discussion, internally and with the the schools they work with, about equitable best practices in data collection. 

I would very much love to link you to this article, but it's currently unavailable while we prepare for submission to academic reviews. This is due to their rules around not accepting work that has been previously published. 

But let's talk! I'd be happy to walk through the article together!