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Evaluating Outcomes Across the Partnerships

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Title: What is evaluation? Author: John Coughlan Last modified by: Charlene M. Koci Created Date: 6/12/2003 7:49:12 PM Document presentation format – PowerPoint PPT presentation

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Title: Evaluating Outcomes Across the Partnerships


1
Evaluating Outcomes Across the Partnerships
  • Tom Loveless
  • Director, Brown Center on Education Policy
  • The Brookings Institution
  • tloveless_at_brookings.edu
  • Saturday, June 14, 2003

2
What is evaluation?
  • Project to determine a programs effectiveness
  • Find out if money has been spent as intended
  • Offer feedback on effective and ineffective
    elements of a project

3
Challenges to Effective Evaluation
  • Complex outcomes
  • Complex causes
  • Politically controversial

4
Complex outcomesExample professional development
  • Satisfaction
  • Behavioral change
  • Systemic change
  • Learning-- teacher or student

5
Complex causesExample an innovations effect on
student learning
  • Factors outside school (e.g. parents, peers)
  • Factors inside school--composition of classroom,
    change in personnel
  • Other reforms occurring simultaneously
  • Teacher effects (e.g. skills, attitudes)

6
Politically controversial
  • Every education program has a constituency
  • High stakes--continued funding, reputations

7
Why evaluate?
  • Determine whether you are using your money
    effectively or not
  • Parts of program may work better than others--
    re-tool
  • Are you meeting the goals of your program?
  • Can you get the same results with fewer
    activities?
  • How do participants in your program fare against
    a comparable group of non-participants?

8
Examples of Good and Bad Evaluations in Education
  • Annenberg Grant-- case studies of systemic
    reforms
  • STAR Tennessee-- randomized field trials of
    reduced class size

9
Benefits of Randomized Field Trials
  • Gold standard of evaluation and evidence in
    health sciences--drugs, treatments--and
    increasingly in policy fields
  • Equalizes treatment and control groups
  • Controls for unobserved characteristics--selection
    effects
  • Isolates treatment effects

10
Evaluation of the MSPs
  • I will focus on one of the MSP components
  • Summer institutes offering professional
    development to increase teacher content knowledge
  • Goals (outcomes to assess)
  • short term increase teachers content knowledge
    in mathematics
  • long term increase student achievement in
    mathematics

11
Key Qualities of Model Summer Institutes for
Middle School Math Teachers
  • Expertise conducted by mathematicians from
    college and university math departments
  • Duration 4-6 week summer sessions, with regular
    follow up during school year. Approximately 300
    hours
  • Content
  • Basics I (whole , integers, decimals)
  • Basics II (fractions, rates, ratios, proportions,
    percents)
  • Algebra
  • Geometry

12
Design of Evaluation
  • Use lottery to assign over-subscribed institute
    slots, setting up randomized field trials (work
    with math departments)
  • pre- and post-testing of participating teachers
    and their students
  • express learning gains in effect sizes (sd
    units of the pre-test)

13
Teacher Test -- Key elements
  • Content of test matched to materials in summer
    institutesmathematically
  • sound
  • no pedagogy or other extraneous topics
  • criterion-referenced-- purpose not to find out
    where teachers fall on the distribution of
    scores, but to establish minimal levels of
    proficiency to teach mathematics

14
Comparison Groups
  • Randomized field trials
  • Matched pairs
  • Participants vs everyone else
  • Pre- and post-treatment, change over time

15
The Problem of Middle School Math
  • Middle school math teachers with elementary
    teaching certificates, insufficient math
    training, and inadequate content knowledge
  • push to increase the percentage of 8th graders
    taking algebra means an increasing number of
    teachers with inadequate content knowledge
  • problem not simply mastery of algebra, but of
    mathematical content leading up to algebra and
    learning how algebra connects with other
    mathematical fields (e.g. geometry, trig.,
    calculus)

16
Tom Loveless, The 2001 Brown Center Report on
American Education, The Brookings Institution.
17
Tom Loveless, The 2001 Brown Center Report on
American Education, The Brookings Institution.
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