By Patricia Wright
Qualifying students for Extended School Year (ESY) is a multi-faceted process. One of the considerations is regression and recoupment; is the student likely to lose skills and fail to gain those skills within a reasonable time-frame upon return to instruction. The winter break is an ideal time to assess regression and recoupment. Collecting data immediately prior to the break and immediately following the break can demonstrate the student’s performance over a two-week absence of instruction.
For example, the student below showed a significant regression and it took an entire month to recoup to the prior rate of performance. This may be a consideration in determining eligibility for ESY.
Utilizing data-based decision making for ESY eligibility can decrease the challenges created when relying on personal perspectives or opinions. Use Rethink Ed to actively collect data immediately prior and immediately following winter break and see how your students perform.