Data-Based Decision-Making
Foundation
Data-Based
Decision-Making
The Process
Definition
Using Student Data to Support
Instructional Decision-Making
Data-Based Decision-Making (DBDM) =
small teams meet regularly and use an
explicit, data-driven structure to:
disaggregate data,
analyze student performance,
set incremental student
learning goals,
engage in dialogue around explicit
and deliberate classroom
instruction, and
create a plan to monitor instruction
and student learning.
Benefits
Using a DBDM process shifts the
work of school leadership teams
from a reactive or crisis driven
process to a pro-active, outcomes
driven process, and sets the stage for
continuous improvement.
Gilbert, 1978; McIntosh, Horner & Sugai, 2009
Purpose
Make data part of an ongoing
cycle of instructional improvement
Teach students to examine their
own data and learning goals
Establish a clear vision for schoolwide data use
Provide supports that foster a
data-driven culture within the
school
Develop & maintain a district-wide
data system
Essential Questions
How many students are succeeding in
the subject I/we teach?
Within those subjects, what are the
areas of strengths and weakness?
How can I/we establish and sustain a
culture and process for strategic
instructional decision-making across
our building, teams and
classrooms?
Mike Schmoker
The contents of this presentation were developed under a grant from the US Department of
Education to the Missouri Department of Elementary and Secondary Education
(#H323A120018). However, these contents do not necessarily represent the policy of the US
Department of Education, and you should not assume endorsement by the Federal Government.