Improving Instruction Through Assessment Data

1
Improving Instruction Through Assessment Data

• Paul Stemmer
• Michigan Department of Education
• OEAA Conference 2006

2
NAEP and MEAP Differences

• Sample of districts
• More constructed response
• Test Content Framework
• Used for Research and National Policy Funding
  Issues

• Every student tested, unlimited time, same
  questions,
• GLCE Benchmarks
• Used for accountability

3
Results of ISD Data Survey

• Following is a result of a survey of data needs
  conducted by the Mich Association of Intermediate
  School Administrators (www.gomaisa.org)
• Conducted in August 2005
• http//www.michiganedusource.org/Technology/DataWa
  rehousingSummary.pdf

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Status as of 2005
Partially Implemented 33
Planning Stage 16
Beginning Implementation 13 (62)
Not Started 24
Other 11 (35)
Fully Implemented 3
5
Reasons for No Warehouse
No ISD Support 5
Do not see a need 5
Using alternatives 4
Districts have own 4
Project too expensive 4
CEPI will provide 1
Other Dont see need 1
6
Components of Warehouse
Data School Improvement 24
Identify patterns/trends 23
Use to identify students intervention 22
Engage schools in data driven 22
Principal and Teachers key users 22
Generate more questions 21
7
Vendor Solutions
MI-Tracker 9
Inform by Pearson 3
Quality School Portfolio 3
Data Director Achieve Data Solutions 2
Skyward, Accountability Profile, School City STARS, CELT Corp, EdAdmin, Home Grown using Class server 1
8
Target Audiences
Central Administration 23
Building Administration 21
Teachers 17
TBD 2
Different District Staff 1
Third Party Research Consultants 1
Parents/Community 1
ISD Personnel 1
Students 0
9
Data Needs
Trend data - state 19
Trend data - local 17
Students on the edge 14
Related to other data 13
Benchmark/GLCE 12
AYP predicative reports 11
Classroom level school reports 1
10
Experience with Warehousing
Still in roll out phase 13
One year experience 6
Two years experience 1
Three years experience 1
11
Benefits of Warehouse
Yes 42
NO 58
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Data Information

• CEPI and MDE are working on a data warehousing
  solution
• Track longitudinal data
• Measures growth
• NORMES cooperative project with Univ. of Arkansas
• prototype

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NORMES Prototype Summary
14
NORMES Prototype Financial
15
NORMES Prototype TQ
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What kinds of questions?

• What questions do you need answered?
• Please write on a sheet of paper

17
Using the Research File

• MS Excel use of Research File
• Viable option
• Training?
• http//www.mi.gov/meap
• Use MS Excel

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Contact Information

• Paul Stemmer, Ph.D.
• Office of Educational Assessmentand
  Accountability
• Michigan Department of Education
• PO Box 30008
• Lansing, MI 48909
• [phone]
• stemmerp_at_mi.gov