CIMS For YOU

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CIMS For YOU

• Using DATA Before
• It Uses You
• Presented By Allan Knapp
• November 11, 2004

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Data Sources Map

• Flow of Data
• Places where data can flounder
• We can see MICIS today
• We all need skills with other data sets
• Check your local data

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For YOUR ISD, do you know

• Who submits December 1 data?
• Who is attending December count training this
  week?
• Who submits SRSD data?
• Who does the data entry?
• What student tracking software do you use?
• What kind of Dec submitter are you?

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SUGGESTION

• If YOU are not familiar with the students and
  data about the students, identify some people who
  are. If there is no one, get someone (hire,
  train, learn it yourself, expand duties, steal
  someone). You need a data manager type person

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Explore all your available data systems

• Get reports
• Check the reports against documents
• Check the reports against reality
• Show the reports to many people and get their
  responses
• Revise your world so that more people come in
  contact with data

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Short Range Task Strategies Page from this
weeks trainings

• NOW - Make sure IEPs/IFSPs are getting done
• Use Business Rules to Scrub data
• PILOT site for Testing
• for Non-MICIS EETRK users
• MICIS Users see new program on PILOT site it
  will be in production by November 15
• Look at www.mi-iis.com for Step-by-Step
  Submission Guide and the Technical Manual
• Look at www.mi-iis.com for NEWS on issues, bugs,
  tips, and more

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Short Range Task Know the Expected Timeline For
Processing

• By Dec 10 Most Submissions are started
• By Dec 17 SUI Error Corrections
• By Dec 22 Initial Submissions Complete
• By Jan 7 Primary / Secondary Resolutions
• By Jan 14 Edits complete Certify
• By Feb 1 State reports to OSEP

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Short Range Task December 1, 2004

• Get others to sweat the details
• Check the submitted reports
• What changed from last year?
• Are all students reported?
• What looks funny?
• Find funny data now and you can correct it before
  the data is frozen
• How correct funny data? For NOW, as best you can.
• Do keep notes on what to correct later

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Short Range Task Ask for These reports

• Data Portrait for December 2003
• Use the rankings
• Summary reports
• Active Student Counts pick groupings
• Exited Student Counts groupings
• Early On counts
• 2 New Tracking Reports

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Reports To Expect
NEW!!
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Short Range Task

• LUNCH
• IS AT
• NOON
• TODAY!

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Long Range Task Know the State Cycle of Events
for December 1

• December 1 Count Date
• January 14 Last corrections
• February 1 Data to Feds
• March 1 Data Portraits
• June 30 New Functions List Done
• October 1 Programming complete
• November 1 Discipline data to Feds
• November 1 Testing done, Training starts
• December 1 Count Date

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Long Range Task Know your Local Data Systems
Do a Review

• People and processes
• Forms, coding, and entry
• Code Crosswalks
• Provide guidelines See Macomb list
• Submissions
• December Count
• CEPI SRSD, REP, SID, FID
• RID, LID, BID, KID, DID, Boggle

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Long Range Task Know your goal

• The goal is to improve the performance of
  students, not to point fingers at bad systems
  development
• Build good relationships

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Long Range Task know your local data

• Get reports
• Check the reports against documents
• Check the reports against reality
• Show the reports to many people and get their
  responses
• Revise your world so that more people come in
  contact with data

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Long Range Task State TA Ideas

• Local Data System Review
• Understanding Other State Systems
• SRSD, MEAP, AYP
• Dealing with Data
• MICIS List Serv
• Decide if MI-CIS has a hyphen

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INFORMATION Who To Call - IIS

• Toll Free 866-731-2379
• Norma Hackett 269-489-5255 nhackett_at_mi-iis.com
• Mary Schrader 269-496-5885 msodutch_at_aol.com
• Kathy Bartolameolli 906-875-3646
• kbconsult_at_up.net
• Allan Knapp 517-485-8181 akzoom_at_aol.com

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Future of the World

• New Modules
• Due Process, IEP, others
• New format for December flat files SRSD layout
• Early On moving to MICIS
• Cooperation between MDE departments

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Following is First Presentation By Pat Drake

• November 11, 2004

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Checking the Data

• Graduation and Drop Out Rates 2003

Dr. Patricia Drake, Special Education Data
Consultant
November 10, 2004
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Graduation Drop Out Rates 2003

• Wayne County Michigan
• Graduation 39.52 52.6
• Drop Out 53.05 38.7

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2,824 Exiting Students Age 14 21
Graduation Rate 39 to 53 Drop
Out Rate 53 to 39

• Drop Outs
• If they were really enrolled in school, there
  will be improvement.
• Complete change Find 1 out of 2.
• Significant improvement Find 1 out of 4.

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2,824 Exiting Students Age 14 21
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Quantitative and Qualitative Review

• Visit Each District
• Review the Data Portraits
• Review the Lists of Exited Students
• Process of Discovery
• Is this correct?
• How is your data entered?
• What is happening in your school community?
• What can we do to make improvements?

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Did 16 students really drop out of school?
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Data Code Maps
LEA
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What happened to their data?
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Thank you for asking but I dont do that

• DATA MANAGEMENT PLANNING
• Understand the Data Management System
• ORGANIZATIONAL PROCEDURES
• Define the steps to take to enroll and exit
  students
• STAFF TRAINING
• Who is doing what when and where
• Make it safe to ask for help

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Ideal Data Profile from a Real Wayne County
Suburban District
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Graduation Rate Ceiling for Districts Servicing
Severely Impaired Students
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The Alternative Program Challenge

• What is progress and participation in regular
  education for students who need a different
  structure than the general high school program to
  be successful?

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LRE for a Suburban District
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LRE Old Ways or District Challenges?
DISTRICT
STATE
The students moving into our district who
qualify for special education are functioning 4
and 5 years below grade level. I have to put them
into programs to teach them the skills to benefit
when they do go into the mainstream.
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MOBILITY
HOW CAN SCHOOLS TRACK STUDENT MOBILITY?

• Records Request
• Communication Between Offices
• Home Contact
• Teacher Knowledge of Intentions
• Spring Surveys of Family Intentions
• Student Withdrawal Survey of Intentions
• UIC Table Look-Ups

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SUCCESS STORIES

• IMPROVEMENTS IN GRADUATION RATES
• Submission Correction
  Expectation
• 2003 2003
  2004
• District A 2.86
  80 93
• District B 27.27
  85 85
• District C 50.31
  76 76

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Data and Communication
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• Following is Second Presentation by Pat Drake
• November 11, 2004

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New Data for Special Education
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Achievement Focus in Legislation
NCLB
IDEA
Progress and Participation in General Education
Closing the Achievement Gaps AYP
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Using Data to Improve Programs
School Improvement
Continuous Improvement
Assessments Curriculum Standards Instruction Gradu
ation
Compliance Educational Benefit IEP
Development IEP Implementation Graduation
Key Performance Indicators
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New Applications of Data

• MEAP Participation
• MEAP Performance
• Comparison of Graduation Rates for General
  Education and Special Education
• Trend Analysis

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http//www.meap.org
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http//ayp.mde.state.mi.us/ayp/index.asp
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Data as the Focus of Collaboration