Data-based decision making
refers to an ongoing process of analyzing and evaluating information to
inform important educational decisions and actions.
Educators utilize this systematic process to address the needs of
individual students, small groups, grade levels, and all students in a
school or district. In this
process, they complete the following steps:
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Compare data with expected benchmarks or
goals |
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Analyze what factors contribute to areas
of concern |
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Develop a plan to address the identified
factors, implement the plan with
consistency and fidelity |
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Evaluate the impact of the plan and
determine next steps |
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Graph student progress at all levels to examine achievement over time. |

This
process includes the following:
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Creating teams that have the expertise
to consider student needs and
characteristics |
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Graphing and analyzing student data at
all levels (district, school, class, and
individual) |
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Reviewing student data often to evaluate
progress and inform next steps |
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Establishing criteria for determining
intervention intensity and need for
further assessment |
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Reviewing
fidelity of implementation |
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Comparing student data and desired
outcomes at all levels to evaluate the
impact of RTI at the local level |
Building-Based Teams
The Blumberg Center’s Collaborative Problem Solving Project supported
building-level problem solving teams through training and coaching.
Initially called Creative Problem Solving for GEI (CPS for GEI), over
the years this process evolved into a team process with an increased
emphasis on targeted instruction and progress monitoring. The
PRESM provides training in this process on a limited basis upon request.
Materials and forms for the building-based team process are available
for download here. The
following button provides more information concerning this process.
Related Resources
Electronic:
section1identifyrelevantpalnningtool_activity1.1.doc
http://www.interventioncentral.org/htmdocs/interventions/sbit.php
www.studentprogress.org
Printed: