Last
week’s post explored the importance of having a plan for using assessment data
before its “expiration date.” Because our students are continually learning, results
from last spring’s state assessments may not be a good starting place for
planning this fall’s instruction when it comes to considering the needs of individual
students. Looking at patterns within assessment data and trends over time,
however, might help us pinpoint areas where the curriculum is weak and big
picture changes should be made. That is the value of having data discussions. To
keep these discussions purposeful, I’ve found it helpful to use a protocol like
the following:
Step
One: Predict. Predicting
brings out our prior knowledge and assumptions, allowing participants to
examine their perspectives. This lays the foundation for collaborative inquiry.
Sentence starters for this step include: “I predict…” and “I expect to see.” Asking,
“What leads me to make that prediction?” may uncover both prior knowledge and
unfounded beliefs.
Step
Two: Explore. While exploring the data, we determine priorities and
make statements of fact about the data that reflect the best thinking of the
group. We might highlight, reorganize,
and create graphic representations of the data. Looking for patterns or trends
helps us turn observations into helpful statements. At this point, don’t
attempt to pinpoint underlying causes. Phrase your findings objectively: “The
data show….”
Step
Three: Explain. Now’s
the time to generate theories - explanations for what is observed in the data. Dialogue helps the best explanations to
surface and may uncover the need for additional data to test these theories. Our
hypotheses attempt to get at the root causes of the findings that have been
identified as priorities.
Step
Four: Plan for Action. Prepare
to take action by identifying specific strategies that are tied to the root
causes. Determine a goal and both how and when progress will be measured.
Steps
one through three ensure that the plan for action reflects real data (rather
than assumptions), aligns with priorities that have been determined, and will be
most likely to produce results. I’ve found that this four-step plan makes data
discussions focused and productive. Data is only as useful as the plan of action
that is created by it. If your school has expended time and energy collecting
student data, crafting a meaningful plan ensures that time has not been spent
in vain.
This
week, you might want to take a look at:
Other ideas for using data to improve
instruction:
Classroom management vs. classroom
culture:
High
expectations for all:
Ideas
for routines that build independence early in the school year:
The power of letting students choose
their own books:
That’s
it for this week. Happy Coaching!
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