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Improving Data Literacy Through Focused Team Meetings

With the goal of improving reading outcomes for all elementary students, we focus on data-driven decision making to select appropriate reading interventions. Participants will learn a systematic process to efficiently analyze screening data and identify appropriate reading interventions based on a Multi-Tiered Systems of Support (MTSS) framework. We will share decision making protocols to use with school assessment data for decision at tiers 1 and 2 within an MTSS. These resources provide clarity in the use and analysis of screening, diagnostic, and progress monitoring data, and will help focus data meetings. The tools shared in this presentation are universal so that participants may apply the learning and make site based connections.

 

Tuesday, February 4: Matthew Burns will be signing copies of his book outside room A308, beginning at 5:15pm.

 

This talk was presented at:
2020 National ESEA Conference
February 2020 in Atlanta, GA
For more information:
PRESScommunity.org; path2read@umn.edu; https://bit.ly/2Kw5Qbn
Speakers
Stacy Thompson

Stacy Thompson has extensive experience leading teaching teams through data-driven PLC meetings, along with in-depth knowledge of literacy development and interventions. She also has training and education in Teaching English to Speakers of Other Languages, and as the English Language Development Chair, facilitated many MTSS meetings to discuss student data and problem solving.

Matthew Burns

Dr. Burns has conducted numerous studies regarding the use of assessment data to select interventions and has written extensively about effective school-based teaming. He has worked with schools across the country and Canada to enhance intervention systems.