“When teachers see how students are learning, design interventions based on the data and see the growth, that’s what hooks them” (Carin Fractor, Principal at Saugus Union School District Bridgeport Elementary School in California). To create a data-driven culture it requires the commitment of ALL staff.
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Data
individual facts, statistics, or items of information that may be the result of measurements or objective observation
Decision-Making Rules At-a-Glance:
Data based decision making uses assessment data, as well as, other relevant information to determine how best to enhance students' academic and behavioral outcomes across ALL tiers of support (Teaching Reading Sourcebook, 3rd Ed., p 752)
The problem-solving process is data driven and critical to making instructional decisions and adjustments.
There are 4 steps to the problem-solving process: 1) Identify problem, 2) analyze problem, 3) plan & implement intervention, and 4) Evaluate intervention
MTSS problem-solving process is...
data driven
systematic
ongoing
4 basic steps to this problem-solving process:
Step 1: Identify Problem
Step 2: Analyze Problem
Step 3: Plan & Implement Intervention
Step 4: Evaluate Intervention
Here are a few sample questions to get the decision making process moving...
What exactly is the problem? Is it an individual student problem or a larger systemic problem?
Why is the problem occurring? Why are students not achieving the desired academic or behavioral outcomes?
What exactly are we going to do to fix the problem? Who is responsible?
Is the intervention working? Was the intervention implemented with fidelity?
(Teaching Reading Sourcebook, 3rd Ed., p 753)
District level decision making rules:
This school district in Katy, Texas is proactively using data to effectively, and efficiently, make instructional decisions and modifications.