DC Education Data Collaborative

DC Education Data CollaborativeA vision for the proposed evolution of education data analytics in the District of Columbia public K-12 systemCurrent common data analysis practice

Step 1. Manually download multiple tables from student information system

Step 2. Manually download additional student, school, and teacher data sourcesCurrent common data analysis practiceStep 3. Perform magic in Excel using things like VLOOKUP and IFS formulas to integrate data

Step 4. Examine data integrity using pivot tablesCurrent common data analysis practiceStep 5. Create tables for charts and then design multiple charts Step 6. Copy tables to a master dashboard, save as PDF, and send to school leader

Problems with current practiceTime suck to manually download data and create required formulas in Excel over-and-over every time a new dataset is analyzedRequires certain Excel formula expertise to develop more complex metricsVery manual process leads to many potential points for errorOh yeah, and did we mention this is a very time intensive and repetitive process that does not allow for individual data discovery?Vision for evolved education data analyticsPhase 1. Create automatic data integration from source systems to one Ed-Fi aligned data warehouse

Phase 2. Using a data visualization tool, create interactive dashboards for school leaders using common metrics

school-level dashboardStudent-level dashboardPhase 3. Add streams of school comparison points from the DC Education Data Collaborative data store

Phase 4. Schools create data sharing partnerships using the Data Collaboratives new sharing management app

Phase 5. School dashboards now show updated information with data sharing partners identified

Phase 6. Advance school dashboards from common education metrics to sophisticated measures designed to find impact on student achievementPhase 7. Provide data coaching and support for all systems and to increase usage of advanced measures