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Assessment of Teacher Preparation: Issues and Illustrations 20052008 Louisiana Value Added Assessmen

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Title: Assessment of Teacher Preparation: Issues and Illustrations 20052008 Louisiana Value Added Assessmen


1
Assessment of Teacher Preparation Issues and
Illustrations 2005-2008 Louisiana Value Added
Assessment
  • George H. Noell, Ph.D.

2
Overview of todays talk
  • Early work that lead to VAM initiative
  • How connections opportunities can emerge
  • Evolution of the early work
  • Data, funding, flaws, and relationships
  • Ramping up to a sustained effort
  • Coordination, funding, flaws, and relationships
  • Some interesting findings

3
Some consideration of the complexity of the
journey
  • The scope of the effort in Louisiana
  • The complexity of the work
  • IT, models, IRB, software
  • Ramping up to a sustained effort
  • Coordination, funding, flaws, and relationships

4
Acknowledgements
  • Commissioner of Higher Education E. Joseph
    Savoie, Past State Superintendent Cecil Picard,
    Current State Superintendent Paul Pastorek, and
    Assoc. Commissioner Jeanne Burns.
  • Louisiana Department of Education Division of
    Planning, Analysis, and Information Resources
    (David Elder Division Director, Allen
    Schulenberg, Robert Kaufman, Kelvin LaCroix,
    Steve Gunning, Sam Pernici, Bobby Franklin, and
    Roth Aymond)
  • LSU Research Team (Veronica Gulley, Bethany
    Porter, Anna Beth Ball, Maria Patt, Amanda Dahir)

5
Redesign in Louisiana the Blue Ribbon Commission
6
How redesign lead to Louisianas Assessment
  • The principle of meaningful assessment
  • Putting all of the key players in the same room
  • Creating a climate of striving and mission
  • Creativity and shared resources ()

7
Challenges in Assessing Teacher Preparation
  • The challenge of measures
  • Achievement versus opinions
  • Geography
  • Heterogeneous schools classes
  • Data management
  • Technical issues
  • The plausible counter factual (Rubin)

8
General Assessment Approach
  • Establish empirical expectations
  • Measure Performance
  • Compare Expectations Performance
  • Act on the Results
  • Detailed follow-up policy issues

9
Moving to sustained work
  • Funding then and now
  • Establishing a small work team
  • Establishing the big statewide team as well
  • Working in public view and listening

10
Selected methodological issues with VAM in Ed.
  • Meaning of the data you have
  • Teacher experience variable
  • Scaling of your tests
  • Who taught the student versus tested
  • Reliability of identifiers students vs.
    teachers
  • Modeling issues
  • Just fit fixed models because that is the right
    thing to do
  • Just drop the Special Ed. kids, what a mess
  • Of course you need cross year school fixed
    effects

11
Selected issues 2
  • How big is a BIG effect?
  • How important is 0.1 SD or 5 points
  • Poverty SLD and 3 to 12 points
  • What is a reasonable apportioning of the variance
  • What would that mean
  • What do demographic effects mean is a massively
    specified VAM?
  • Learning disability and free lunch effects
    change in time

12
Selected Issues 3
  • Value added models, growth models, and their
    union and disunion
  • When effects dont make sense
  • Is it too complicated yet or already too
    complicated

13
2004-2008 Study Breakdown of Data
  • Years 2004-2005, 2005-2006, and 2006-07
  • Student Grade Levels Grades 4-9
  • Content Areas Mathematics Science Social
    Studies Language Arts and Reading
  • Tests Iowa Test of Basic Skills, i-LEAP, and
    LEAP-21
  • Pathways for New Teachers Undergraduate and
    Alternate Certification Programs (Master of Arts
    in Teaching, Practitioner Teacher Program, and
    Non-Masters/Certification-Only)

14
New Experienced Teachers
  • New Teachers
  • 1st and 2nd year teachers
  • Regular certificates
  • Completed TPP within 5 years
  • Experienced Teachers
  • 3rd or subsequent year teacher with a regular
    certificate
  • Teaching within area of certification.

15
Important Decisions Defining New Teachers (2007
study data)
16
Criteria for Inclusion of New Teachers in Study
  • Inclusion for each content area
  • 25 or more new teachers in grades 4-9
  • At least 10 new teachers per year
  • Teaching within certification
  • Remained with student full academic year
  • Not all universities had sufficient new teachers
    to be included in the analysis. Another year of
    data will be added and will increase the number
    that exceed 25 graduates.

17
Size of the Data Basefor the Study Per Year
  • Districts All school districts in Louisiana
  • Students approximately 250,000
  • Teachers 7,000
  • Schools 1,300

18
Hierarchical Linear ModelsNesting and
Interacting by Year
19
Teacher Preparation Effect Estimates
355
Prior (2005) Achievement
Current (2006) Achievement 350
Gifted
African American
Free Lunch
Male
10 days absent
20
Post-Redesign Programs Pre-Redesign Programs
  • Post-Redesign Programs Programs that were
    redesigned for grades PK-3, 1-5, 4-8, and 6-12
    and began admitting pre-service teachers on July
    1, 2003.
  • Pre-Redesign Programs Universities stopped
    admitting candidates to the programs on July 1,
    2003. A phase out period is occurring for
    pre-redesign programs.

21
Effect Estimates for Post-RedesignAlternate
Certification ProgramMathematics
22
Effect Estimates for Post-RedesignAlternate
Certification ProgramLanguage Arts
23
Effect Estimates for Post-RedesignAlternate
Certification ProgramReading
24
ACT Scores of New Teachers
  • ACT scores of new teachers within programs did
    not account for variance in teacher preparation
    program effectiveness.
  • ACT mathematical scores of individual new
    teachers across programs was a modest predictor
    of teacher effectiveness in mathematics.

25
Impact of Teachers Who Are Not Content Certified
Teachers who are certified in the content area
they are teaching are more effective than those
who are not certified to teach that content.
26
Placing Results in Context Mathematics from
2007 study
27
Summary Observations from the Data
  • Some TPP prepare new teachers contribution to
    achievement is similar to experienced teachers.
  • Effectiveness varies across and within TPP.
  • ACT scores of new Louisiana teachers do not
    account for variance in teacher preparation
    program effectiveness.
  • ACT mathematics scores of individual teachers is
    a modest predictor of teacher effectiveness in
    mathematics.
  • Certified teachers are more effective than
    teachers who are not certified to teach the
    content.

28
Summary Observations from the Process
  • Sustaining system change and/or the long term
    research agenda
  • Data Policy
  • Relationships funding
  • Working in the public view
  • Visibly responding to criticism
  • Sustaining institutional support
  • The many agendas in play
  • Louisianas statewide research team
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