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ESY Decision-Making: Using Data to Justify Extended School Year Services
Special Education

ESY Decision-Making: Using Data to Justify Extended School Year Services

Extended School Year decisions require clear, compelling data. Learn how to use your behavior data to build a strong case for ESY services and ensure students maintain critical skills over summer break.

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The Classroom Pulse Team
Behavior Data Specialists
March 31, 2026
11 min read

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Category: Special Education

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  • Condensed key takeaways
  • Primary downloadable resource
  • Interactive self-check quiz
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As spring approaches, IEP teams across the country face one of special education's most consequential decisions: Does this student qualify for Extended School Year (ESY) services? The answer should be grounded in data that demonstrates regression and recoupment patterns.

Understanding ESY Eligibility

Extended School Year services are required under IDEA when a student experiences significant regression during breaks that impairs their ability to benefit from their educational program.

Key Legal Standard

ESY services must be provided when necessary to provide FAPE. The question is not whether summer services would be beneficial, but whether the student will lose critical skills without them.

The Regression/Recoupment Standard

Regression refers to the loss of skills during breaks. Recoupment refers to the time needed to return to pre-break performance. Excessive recoupment time is often more significant than regression itself.

Measure Typical Significant
Skill Level10-20% decrease30%+ decrease
Behavior Frequency1.5x increase2x+ increase
Recoupment Time2-4 weeks6+ weeks

Data Collection Timeline

2 Weeks Before Each Break

Establish clear baseline data for target behaviors.

First Day Back

Resume data collection immediately. Document post-break performance.

Daily Until Recoupment

Track until student returns to baseline. Count the days.

The Bottom Line

ESY decisions should be based on data. Start collecting regression and recoupment data at winter break. When your data tells a compelling story, ESY decisions become clear and defensible.

Put This Into Practice

Turn the article into action with ready-to-use materials. Downloads are open; email is optional.

Key Takeaways

  • ESY eligibility is based on regression and recoupment data, not just severity of disability
  • Begin collecting regression data after winter and spring breaks to establish patterns
  • Document both behavioral and academic regression with specific, measurable data
  • Recoupment time is equally important - track how long it takes to return to pre-break levels
  • Strong ESY justifications connect behavior regression to educational impact
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ESY Data Collection Template

Complete framework for tracking regression and recoupment to support ESY decisions

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Is Your ESY Case Data-Ready?

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About the Author

T
The Classroom Pulse Team
Behavior Data Specialists

The Classroom Pulse Team consists of former special education and behavior support professionals who are passionate about leveraging technology to reduce teacher burnout and improve student outcomes.

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