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A Coachs Guide to Using Data

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Title: A Coachs Guide to Using Data


1
A Coachs Guide to Using Data
The Differentiated Accountability
Model Improving the Literacy or Mathematics
Program October 9. 2008
Office of Title I Academic Support
  • Presented by
  • Holly Mencer
  • Reading Coach, MSD Warren Township
  • Hawthorne Elementary

2
Hawthorne Elementary
  • Community school
  • Approximately 430 students in grades K-5
  • Highest poverty school in the district
  • 68 free/reduced lunch
  • 55 Caucasian, 34 African American, 11 other,
    16 special education

3
A school of continuous improvement
2000-2001 44.8 2007-2008 71.4
4
A journey
5
Data, Data, and More Data!
  • How do we keep track of what were finding out
    about our students?
  • How do we use what weve learned to help
    students?
  • How do we keep this information visible and real?

6
How do we keep track of what were finding out
about our students?
  • Using Data Binders and the mClass website

7
Using DIBELS data with teachers
  • Benchmark testing
  • fall, winter, spring
  • Progress Monitoring
  • At risk-every 2 weeks
  • Some risk-every 4 weeks
  • Low risk-every 6 weeks

8
Using the mClass Website
  • Instant access to results
  • Class Summary report
  • Individual student results
  • mClass direct
  • mClass website
  • Item-Level Advisor
  • Small Group Advisor
  • Home Connect

9
Using Data Binders
  • Planning for instruction
  • Moving beyond the numbers
  • Identifying error patterns
  • Grouping students from their point of need
  • Progress monitoring
  • Coach support observe/model/coteach

10
How do we use what weve learned to help students?
  • Planning with teachers Data Meetings

11
Using DIBELS data with grade level teams
  • Monthly meetings with entire team
  • Classroom teachers
  • Special education teachers
  • Reading Coach
  • principal
  • Weekly meetings with individual teachers
  • schedule
  • support
  • Use data to
  • change the interventions
  • intensify the interventions
  • develop new interventions

12
How do we keep this information visible and real?
  • Using a Data Wall

13
Why a Data Wall?
  • Visual Representation of
  • student progress
  • Every child is represented data has a face
  • An interactive display of data
  • A way to show change over time
  • Non-threatening form of accountability

14
Creating A Data Wall
15
Things to Consider
  • Space
  • What kind of data
  • Other information for disaggregating data
  • Management of Data Wall

16
Preparing Data
  • Decide on a format for representing individual
    student data
  • Possible information to include
  • Student name
  • Grade
  • DIBELS scores
  • Instructional recommendation
  • Race/ethnicity
  • Special Education
  • Continuing students vs. new students
  • ISTEP/Terra Nova

17
Examples of Data Walls
18
Our First Data Wall
19
Data Wall
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22
Progress monitoring results indicate some
students are not responding to the intervention.
These results may indicate the need for an
intervention during core instruction (90-minute
block)
23
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24
Ways to display individual student data
25
Individual Student Progress
26
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29
Effects of Data Walls on Instruction
  • Accountability
  • Attention to individual student progress
  • Data-informed, teacher-driven instruction

30

YOUR Journey begins today!
31
Contact Information Holly Mencer Hawthorne
Elementary (317) 869-1551 hmencer_at_warren.k12.in.us
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