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Description

Educators will engage in structured data analysis to reflect on student outcomes and make data-informed decisions. This option encompasses Professional Learning Community (PLC) work, Multi-Tiered System of Supports (MTSS) efforts, student work analysis, or any other structured data reflection process used within a school.

Process

1. Select a data set to analyze. This may include student assessment results (formative, summative, benchmark assessments), student work samples across different proficiency levels, and behavior or engagement data tracked over a period of time.
2. Utilize a structured data protocol, such as:
   • MTSS Intervention Review: Assess the effectiveness of tiered interventions and adjust as needed.
   • Data-Driven Dialogue: Analyze assessment data collaboratively, identify patterns, and develop action steps.
   • Review of Student Work: Examine student work samples to identify trends and instructional gaps.
3. Document key takeaways, such as trends and insights drawn from the data, instructional adjustments based on findings, and strategies to support student growth and achievement.
4. The educator and their supervisor will engage in a collaborative dialogue to review the planning, delivery, and impact of the Data Protocol.

Outcomes:

• Enhanced ability to interpret and apply data to professional practice.
• Development of targeted strategies based on student needs.
• Strengthened collaborative decision-making processes within teams.

Parameters:

• The “Data Protocol” will focus on identifying and addressing student needs rather than using data solely as a lens for evaluation or comparison.