Tuesday, February 15, 2022
1:30 PM–4:45 PM
- CPD: 3
- PMD: 1,4
- Skill Level: Advanced
Learner Objectives
This session will help participants…
- interpret sample student achievement data and use it to make decisions at the systems and individual student levels using data analysis teaming forms,
- apply an equity lens to data analysis teaming, considering the potential impact of COVID-19 and racial inequities on results, and
- plan how to identify effective data leaders and build a data-driven school.
Description
Participants will learn how to build a data-driven school. They will receive practical guidance in interpreting student achievement data and making decisions at the systems and individual student levels using data analysis teaming forms designed by the presenters. Tips for identifying and nurturing effective data leaders within schools will also be discussed. An equity lens will be applied throughout to consider the potential impact of COVID-19 and racial inequities.
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Presenter(s)
Daniel M. Hyson, PhD
Joseph F. Kovaleski, EdD
