Strategic Priority 3
Data-Driven Instruction
| Strategic Priority Three | |
|---|---|
| Why is this important? | Data-driven instruction is essential for schools because it ensures that teaching is focused, intentional, and continuously improving to meet student needs. As Paul Bambrick-Santoyo emphasizes, effective data-driven instruction follows a cycle of assessment, analysis, and action, allowing educators to identify learning gaps and adjust their teaching strategies accordingly. By using clear, measurable goals and high-quality assessments, schools can move beyond assumptions and make informed decisions that drive student achievement. Additionally, targeted reteaching based on data helps ensure that no student is left behind, reinforcing mastery of essential skills. When implemented with strong leadership and a culture of accountability, data-driven instruction becomes a powerful tool for accelerating learning and creating a high-achieving school environment. |
| Action steps related to the priority | Spring 2025 *Leadership team and lead teachers from all three school buildings attended Winter Conference with UVA-PLE where they worked with Paul Bambrick-Santoyo to begin learning how to effectively use data to drive instructions. *Burlington Elementary is developing learning labs within grade levels to practice different elements of data driven instruction. *Burlington Middle School is developing data discussion teams to begin using elements of data driven instruction in small teams. Fall 2025 BES- *Implement math interim assessments to regularly monitor student progress and create six-week action plans. *Train staff on data-driven instruction (DDI) systems, with a focus on analyzing results and planning targeted reteaches. *Establish weekly grade-level data meetings to review student data and intentionally move through analysis and reteach cycles. BMS- *The middle school established a consistent structure of bi-monthly ELA and Math data teams to take deeper data dives within the online interventions of Lexia (for ELA) and IXL (for Math). These content data teams were in addition to the schoolwide Impact Team meetings, which were held on professional development days, to analyze student data and plan responsive re-teaching. *Alignment of Impact Teams Puzzle of Practice (to increase student achievement in Math & ELA) with KL Consulting Foundations of Instruction (Mastery Checks, Exemplars, Success Criteria, Evidence Walks. *BMS staff reviewed CMAS data to do a Gap Analysis and prioritize standards to emphasize throughout the year with the greatest gaps. BHS- *Alignment of Impact Teams ‘Puzzle of Practice’ with KL Consulting Foundations of Instruction (Mastery Checks, Exemplars, Success Criteria, Evidence Walks, High Leverage Tasks, Expectations & Routines). *Formation of Data Driven Instruction Leaders and Teams at BHS, teams that are grouped by content area. *UVA Conference was attended by DDI Team Leaders. Leaders received instruction on DDI concepts and best practices. |
| Evidence of Implementation | Click Here for Evidence of Implementation |
| Evidence of Impact | Click Here for Evidence of Impact |