Evidence-based Interventions/Strategies

Mid-Year Reflection

Desired progress is being made to accomplish the intended outcomes for the Area of Focus. Monitoring systems are now more consistently implemented, instructional practices are better aligned to assessment data, and the school has improved its capacity to track and respond to ELA student progress as it moves into the spring semester.

During the fall semester, the school encountered several implementation challenges related to monitoring progress within the ELA Area of Focus. While FAST progress monitoring, i-Ready diagnostics, and classroom formative assessments were in place, early implementation revealed inconsistencies in the use of data to drive small-group instruction. Variability in teacher familiarity with Universal Design for Learning (UDL) strategies and formative assessment practices resulted in uneven implementation across literacy classrooms, intervention settings, and intensive reading courses.
 
Additionally, PLC time during the early part of the semester was not consistently used for in-depth analysis of FAST and i-Ready data. Intervention scheduling and student attendance also limited the effectiveness of targeted supports for students in the lowest performance bands.
 
To address these challenges, instructional and monitoring adjustments were implemented during the fall semester. All literacy teachers received district PD and targeted support on multiple means of engagement through UDL, reinforced through classroom walkthroughs and observation data. The reading coach strengthened the use of the coaching cycle by providing modeling, feedback, and follow-up with literacy teachers, interventionists, and intensive reading teachers to ensure small-group instruction was data-driven and aligned to student needs.
 
PLC structures were refined to prioritize lesson study rather than stand-alone data analysis. During PLCs, teachers engaged in collaborative examination of instructional practices, focusing on how lessons were delivered, which strategies were most impactful, and how students responded to instruction in real time. Emphasis was placed on identifying effective instructional moves related to engagement, checks for understanding, and differentiation aligned to Universal Design for Learning (UDL).
 
Teachers collaboratively planned, reflected on, and adjusted lessons based on student engagement and learning evidence gathered during instruction. The effectiveness of these instructional strategies was monitored through PLC artifacts such as HMH Selections common formative assessments (CFAs), coaching logs, classroom walkthroughs, and observation feedback, allowing the school to assess fidelity of implementation and make instructional adjustments to improve student outcomes.
 
 

Evidence-based Interventions/Strategies

Mid-Year Reflection

A review of the mid-year PM2 diagnostic data indicates that while instructional systems are in place, continued refinement is needed to increase overall math learning gains. During the fall semester, the school encountered implementation challenges related to the consistent use of assessment data to drive targeted math instruction. Although i-Ready diagnostics, FAST progress monitoring, and classroom formative assessments were administered as scheduled, early data review revealed variability in how data was used to plan and implement small-group instruction and intervention supports across classrooms.

In addition, instructional consistency in math was impacted by differences in pacing, lesson structure, and the integration of data-driven instructional practices. PLC time was not always maximized for in-depth analysis of math data, which limited opportunities for teachers to collaboratively plan targeted interventions and instructional adjustments. These factors contributed to uneven learning gains, particularly among students requiring additional support.

To address these challenges, adjustments were implemented to strengthen math instruction and monitoring practices. Expectations for implementing i-Ready with fidelity were clarified, and PLC structures were refined to prioritize collaborative data analysis, instructional planning, and progress monitoring. Teachers engaged in ongoing data chats focused on FAST, i-Ready, and classroom assessment results to identify student needs and adjust instruction accordingly.

As the year progresses, regular monitoring of student progress and intentional instructional adjustments will remain essential. Continued emphasis on targeted interventions, math stations and small-group instruction, and professional learning will support instructional consistency and sustained growth. These actions will strengthen the school’s capacity to improve math learning outcomes and increase the likelihood of meeting the intended outcome by the end of the school year.

Based on mid-year data and implementation findings, additional actions will be implemented to strengthen math instructional practices and increase learning gains. PLCs will continue to emphasize intentional data analysis using FAST, i-Ready, and Performance Matters, with a focus on identifying specific skill gaps and establishing clear, actionable instructional next steps. PLC protocols will be refined to support consistent follow-through on targeted small-group instruction, instructional stations, and intervention planning aligned to student needs.
Ongoing monitoring of research classes and classroom instruction will continue to ensure consistent instructional focus, alignment to priority standards, and effective use of data-driven strategies. Walkthrough data, coaching, and professional learning will be leveraged to further strengthen instructional consistency, support effective small-group instruction, and reinforce the integration of tools and resources that enhance student engagement and conceptual understanding in math.

The mid-year review process has reinforced the importance of instructional consistency and intentional use of data to drive math instruction. While systems and supports are in place, continued collaboration among teachers, instructional staff, and school leadership remains critical to refining practices and maximizing their impact. Ongoing reflection on implementation, coupled with targeted professional learning and coaching, will support sustained improvement in math instruction and ensure that instructional decisions remain responsive to student needs as the school moves through the remainder of the year.