developing and using measures
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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
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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