AERA Conference

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AERA Conference

• April, 2005
• Using Data for Supporting Improved Instruction
  and
• Student Learning
• Pat Roschewski, Director
• Statewide Assessment
• Nebraska Dept. of Education
• proschew_at_nde.state.ne.us

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Nebraskas STARS - School-based Teacher-led
Assessment and Reporting System
Decisions about student learning should
occur where the learning takes place in the
classroom. Doug Christensen, Nebr. Commissioner
of Education
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A Balanced Assessment System
Locally developed Assessments in Reading Mathemati
cs Science Social Studies
Statewide Writing Assessment Alternate Assessment
_ SPED Language Acquisiton NAEP NRT results -
ACT
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SCHOOL IMPROVEMENT
Primary Purpose of STARS?

• Every educator knows learning targets
  (standards).
• Every educator appropriately and
  accurately measures the targets (assessment).
• Every educator uses data for improved instruction
  and student learning. (accountability)

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Two Nebraska Case Studies

• Customized Data Sessions
• Inexperienced Using Data
• Desire to learn data analyses
• and involve all staff

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• District Two
• 60 staff members
• 3 administrators
• 850 students
• Homogeneous Population
• 30 SES
• 98 Caucasian
• 15 Mobility
• 13 SPED

• District One
• 230 staff members
• 17 administrators
• 3,500 students
• Diverse by Nebr. standards
• 40 SES
• 55 Hispanic
• 25 mobility
• 17 SPED

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METHODOLOGY
Step 1 NDE staff customized each districts data

• District One
• had been collecting large amounts of data
• granular no big picture
• huge notebook

• District Two
• didnt have any data

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• Step 2 NDE staff on-site and taught
• Strategic planning for grouping staff
• Formats/purposes of data displays
• Embedded assessment literacy assessment
  types/purposes

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DATA ANALYSIS

• What does the data tell us? (factual)
• What might this mean? (hypothesis)
• What should we do about it? (action)

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Commonalities Across Districtsregardless of
size, demographics
Conclusions

• Neither administrators nor teachers knew these
  steps
• Assessment literacy was lacking
• Hungry for data analysis skill
• Willingness to learn and act
• Both districts have extended this K-12

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RECOMMENDATIONS

• Statewide professional development in data
  analysis
• Statewide professional development in assessment
  literacy
• Improved teacher and administrator preparation
• Statewide model of analysis formats tied to
  instruction
• Data support teams