DDI and Assessments in Mathematics: Analyzing and Tracking Data
at the 6-12 Level May 13, 2014
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Session Objectives Be able to describe what to look for when
analyzing student work for a Common Core- aligned assessment Be
able to create a data tracker for assessments Develop questions
that drive data-analysis meetings around Common Core-aligned
assessment data
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Agenda Introduction Warm Up: Review of Assessment Design
Looking at Student Work Examples Time with work you brought
Tracking Student Work Leading a Data Meeting with Questions Q &
A
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Introduction Part I: Assessment (February) Part II: Analysis*
(May) Part III: Action (July)
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*Analysis is hard. We dont want to granularize content but we
have to do something to look under the hood We want our students
engaged in rich tasks but we want to dig into the work associated
with the tasks to learn specifics about what our students know and
can do We dont want to put rigor in silos or to create a checklist
for rigor but we want usable information about how are kids are
doing with respect to the demands of the Common Core
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Warm Up: Review of Assessment Design 1. What makes this
assessment Common Core-aligned? 2. Critique this. How could it be
improved?
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Review: What Two Things Make a Great Common Core Assessment? 1.
Balance of rigor 2. Variety of levels
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Think Aloud I knew some of my students were functioning below
grade level, so I used the RP domain heading to locate similar
understandings at the 6 th grade level. This drove instruction for
my unit and allowed for more differentiation. I tried to include a
variety of prompts/question types that would offer a balance of
rigor. This drove instruction for my unit and ensured a balance of
rigor throughout the unit.
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Examine Sample Assessment First Focus Question: Imagine looking
at some student work associated with this assessment. What kinds of
errors do you think youd see? What would these errors reveal about
students?
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Looking at Student Work Second Focus Question: Look at the work
from Veronica and Englebert. What kinds of errors do you see? What
do these errors reveal about students?
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This Evenings Two Big Ideas: Analyze student work based on: 1.
The grade level standard(s) being measured 2. The type of error,
viewed through a rigor* lens
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*Rigor Means Different Things to Different People Procedural
Conceptual Application
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Veronica
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Englebert
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Summary Notice: 1. The grade level standard(s) being measured
2. The type of error, viewed through a rigor* lens
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Activity Spend some time with student work that you brought.
What standards are being measured? What types of errors are being
made? If you didnt bring any student work, look at the annotated
items.
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How Do We Track Data?
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Tracking The Class
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Each Item, Through Multiple Lenses
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Useful Disaggregation
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Possible Modifications Break down data to show strategies
employed (e.g., table, equation) Break down P, C, A further (e.g.,
P Division of fractions) Include other lenses (e.g., vocabulary,
writing) Also tag items at performance levels, using PLDs Tag items
to more than one standard
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Using Questions to Lead Data Meetings Bambrick ModelBased on
Paul Bambrick- Santoyos Driven By Data Well look at: Pre-Cursors
(what happens before a data meeting) Conversation Starters and
Re-Directors (what happens during a data meeting) $64,000 Question:
How might these look different using a Common Core-aligned
assessment?
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Pre-Cursors
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How would we prepare differently for a Common Core assessment
meeting? What different activities would we ask teachers to do?
What different questions would we pose?
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Conversation Starters & Re-Directors
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What would be different during a Common Core assessment
meeting? What different activities would we ask teachers to do?
What different questions would we pose?
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This Evenings Two Big Ideas, Revisited: Analyze student work
based on: 1. The grade level standard(s) being measured 2. The type
of error, viewed through a rigor lens
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Session Objectives Be able to describe what to look for when
analyzing student work for a Common Core- aligned assessment Be
able to create a data tracker for assessments Develop questions
that drive data-analysis meetings around Common Core-aligned
assessment data