Using disaggregated data to uncover patterns of racism:
While School Improvement Plan relied mainly on quantitative and perception data to embrace new policies and reforms that continuously failed to improve student performance, School Improvement and Equity Plan (as the word equity being embedded) digs deeper into understanding the root cause of the disparities that continuously impede the success of our marginalized students and harm their wellbeing. The shift from one cycle to the other requires " mining the school for stories of white racial privilege and racism that is ubiquitous, routinely erased, and therefore invisible" (Stuck Improving, p. 173).
To mine for those school stories, Street Data by Shane Safir and Jamila Dugan, offers a plethora of strategies schools can use to gather and analyze authentic data that reflects the urgent needs of the students and the community. By using three different levels of data, schools are able to get to the root causes of the disparities encountered by our marginalized students in the school system. The data collected will reveal the racism and oppression trends existing within schools and allow for professional dialogue around our complacency in the perpetuation and the reproduction of that oppression.
Guiding Questions:
These questions, from Street Data, p. 67 and 85, are an invitation to engage in the SIEP process:
Identify an equity challenge in your community. What do available satellite and map data tell you (or not tell you) about this challenge?
What street data strategies could you try out in the next two weeks? Make a short plan of who, when, and how you' do this.
What stands out from the listening data? What are the patterns and themes?
What new questions emerge from this data?
How does what we heard help us understand the satellite and map data?