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    Developing Measures ofMathematical Knowledge for Teaching

    Geoffrey Phelps, Heather Hill,

    Deborah Loewenberg Ball, Hyman Bass

    Learning Mathematics for Teaching

    Study of Instructional Improvement

    Consortium for Policy Research in Education

    University of Michigan

    MSP Regional Conference

    Boston, MA

    March 30-31, 2006

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    Overview of todays session

    1. LMT/SII Measures Development

    2. Some Sample Results

    3. LMT/SII Measures and Dissemination

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    Subtract:

    What isContent Knowledge for Teaching?An Example From Subtraction

    3002

    783-

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    Analyzing Student Errors

    3002

    783-

    2781

    3002 - 783 = 4832

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    Analyzing Unusual Student Solutions

    3002

    783-

    299

    2219

    12 3 0 0 2

    7 8 3-

    3-7-8-1

    2 2 1 9

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    LMT/SII Measures Development

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    WhyWould We Want to MeasureTeachers Content Knowledge for Teaching?

    To understand what constitutes mathematical

    knowledge for teaching

    To understand the role of teachers content

    knowledge in students performance

    To study and compare outcomes of professional

    development and teacher education

    To inform design of teachers opportunities tolearn content knowledge

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    Measuring Teachers MathematicsKnowledge: Background and History

    Research on teacher behavior

    Early research on student achievement

    Proxy measures for teacher knowledge

    Tests of basic skills 1985 on: the missing paradigm pedagogical

    content knowledge or PCK

    1990s: interview studies of teachers

    mathematics knowledge (MSU -- NCRTE)

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    Study of Instructional Improvement

    Study of three Comprehensive School Reforms;teacher knowledge a key variable

    Instrument development goals:

    Develop measures of content knowledge teachersusein teaching K-6 content for elementary school teachers

    Not just whatthey teach - specialized knowledge

    Develop measures that discriminate among teachers

    (not criterion referenced) Non-ideological

    But we faced significant problems.

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    Problems As We Began This Work

    No way to measure teachers contentknowledge for teaching on a large scale Small number of items, many written by Ball,

    Post, others appeared on every instrument Nothing known about the statistical qualities of

    those items (difficulty, reliability)

    Studies relied on single items, yet single items

    unlikely valid or reliable measures of teacherknowledge

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    Early Decisions and Activity

    Survey-based measure of CKT-M 3000 teachers participating in SII

    Multiple choice

    Specified domain map

    5 people + 5 lbs cheese + 5 weeks = 150

    items (May 2001)

    Large-scale piloting, summer 2001

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    Early Decisions and Activity

    Types of knowledgeMat

    hematical

    content

    Content knowledge Knowledge of

    content

    and students

    Number

    Operations

    Patterns, functions,and algebra

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    Early Analyses and Validity Checks

    Results from piloting

    We canmeasure teachers CKT-M

    Reliabilities of .70-.90

    Factor analysis shows distinct types ofknowledge

    Knowledge of content and students (KCS)separate from CK

    Specialized content knowledge (SCK) vs.common content knowledge (CCK)

    Hill, H.C., Schilling, S.G., & Ball, D.L. (2004) Developing measures of teachers

    mathematics knowledge for teaching. Elementary School Journal 105, 11-30.

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    Reliabilities (1PL-IRT): Elementary

    Knowledge of content Knowledge of content

    and students

    Number and

    operations (K-6) .72-.81 .58-.67

    Patterns, functions,

    and algebra (K-6) .70-.85

    Geometry (3-8) .85-.86

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    Reliabilities (1PL-IRT):Middle School

    Knowledge of content Knowledge of content

    and students

    Number and

    operations (5-9) .74-.75

    Patterns, functions,

    and algebra (5-9) .86-.89

    Geometry (3-8) .84-.86

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    Content Knowledge :Number and Operations

    Common knowledge Number halfway between 1.1 and 1.11

    Specialized knowledge Representing mathematical ideas and operations

    Providing explanations for mathematical ideas and

    procedures Appraising unusual student methods, claims, orsolutions

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    Representing Number Concepts

    Mrs. Johnson thinks it is important to vary the whole when she

    teaches fractions. For example, she might use five dollars to be the

    whole, or ten students, or a single rectangle. On one particular day,

    she uses as the whole a picture of two pizzas. What fraction of the

    two pizzas is she illustrating below? (Mark ONE answer.)a)5/4

    b)5/3

    c)5/8

    d)1/4

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    Providing Mathematical Explanations:Divisibility Rules

    Ms. Harris was working with her class on divisibility rules. She told herclass that a number is divisible by 4 if and only if the last two digits of thenumber are divisible by 4. One of her students asked her why the rule for4 worked. She asked the other students if they could come up with areason, and several possible reasons were proposed. Which of thefollowing statements comes closest to explaining the reason for thedivisibility rule for 4? (Mark ONE answer.)

    a)Four is an even number, and odd numbers are not divisible by evennumbers.

    b)The number 100 is divisible by 4 (and also 1000, 10,000, etc.).

    c)Every other even number is divisible by 4, for example, 24 and 28 butnot 26.

    d)It only works when the sum of the last two digits is an even number.

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    Student A Student B Student C

    x

    3

    2

    5

    5 x

    3

    2

    5

    5 x

    3

    2

    5

    5

    +

    1

    7

    2

    5

    5

    +

    1

    7

    7

    0

    5

    0 1

    2

    5

    5

    0

    875

    +

    1

    6

    0

    0

    0

    0

    8 75

    875

    Which of these students is using a method that

    could be used to multiply any two whole numbers?

    Appraising Unusual Student Solutions

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    Common vs. Specialized CK

    Appears in exploratory factor analyses on2/7 forms; confirmatory on 3/7

    Individuals can be strong in common butnot specialized; vice versa

    Support from cognitive interviews ofmathematicians

    Suggests there isprofessional knowledgefor teaching

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    Ongoing Work

    Item and measures development

    Middle school national probability study

    Develop new measurement modules for dataanalysis and for probability

    Validation efforts

    Videotape study

    Cognitive tracing studies Content validity checks

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    Some Sample Results

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    An Example:Establishing a Relationship to Student

    Growth

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    Links to Study of Instructional ImprovementStudent Achievement Analysis

    SII CKT-M measure38 items SII: .89 IRT reliability

    Model: Student Terra Nova gains predicted by: Student descriptors (family SES, absence rate)

    Teacher characteristics (math methods/content,content knowledge)

    Teacher content knowledge significant Small effect (LT 1/10 standard deviation)

    But student SES is also on same order ofmagnitude

    Hill, H.C., Rowan, B., & Ball, D.L. (2005) Effects of teachers'mathematical knowledge for teaching on student achievement.AmericanEducational Research Journal 42, 371-406.

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    A Second Example:Evaluating Teacher Professional

    Development

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    Tracking Teacher Growth

    Items piloted in Californias MathematicsProfessional Development Institutes(MPDI)

    Instructors: Mathematicians and mathematicseducators

    40-120 hours of professional development

    Focus is squarely on mathematics content

    Summer 2001

    Pre/post assessment format (parallel forms)Hill, H. C. & Ball, D. L. (2004) Learning mathematics for teaching: Resultsfrom Californias Mathematics Professional Development Institutes. Journalof Research in Mathematics Education 35, 330-351.

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    MPDI Teacher Growth (Year 1)

    For all institutes forwhich we have data,teachers gained .48logits, or roughly standard deviation

    Translates to 2-3 itemincrease onassessment

    Consideredsubstantial gain

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    All institutes

    Pre-test

    Post-test

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    Results from Sample Institutes

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1.4

    1.6

    MPDI I MPDI II MPDI III MPDI IV MPDI V

    Pre

    Post

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    MPDI Evaluation: Other Findings

    Length of institute predicts teacher gains 120-hour institutes most effective, on average

    But some 40-hour institutes very effective

    Focus on mathematical analysis, proof, and

    communication leads to higher gains Many questions remain

    Effects of content (e.g., mathematics vs. studentthinking)

    Treatment of content: common vs. specialized

    Effects of teacher motivation

    Long term learning from colleagues, curriculum,practice

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    LMT/SII Measures and Dissemination

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    Current Item Pool

    Equated forms for elementary school:

    Number & operations / Content knowledge

    (K-6)

    Number & operations/ Knowledge of contentand students (K-6)

    Patterns Functions & Algebra/ Content

    knowledge (K-6) Geometry (3-8)

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    Current Item Pool

    Equated forms for middle school:

    Number & operations / Content knowledge

    (5-9)

    Patterns Functions & Algebra/ ContentKnowledge (5-9)

    Geometry (3-8)

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    Item Workshops andDissemination

    Interested users attend a one-day workshop in

    Ann Arbor

    We cover

    History of item development Analytic methods and validation studies

    How to use technical materials

    Users get

    Access to measures

    Support materials

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    Dates and Contact Information

    Learning Mathematics for Teaching http://sitemaker.umich.edu/lmt

    Dates for LMT Workshops

    May 19, 2006 August 10, 2006

    Brenda Ely ([email protected])

    Geoffrey Phelps [email protected]

    734-615-6076