ISTE 2007: Tech-knowledgy in Math - Gmu

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Tech-knowledgy in Mathematics:
Investigating Mathematical Models and
Concepts Using Virtual Manipulatives and
Applets
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Jennifer M. Suh, Ph.D.
jsuh4@gmu.edu
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Assistant
Professor of Mathematics Education
George Mason University
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Christopher J. Johnston, M.A.
cjohnst2@gmu.edu
Ph.D. Student – Mathematics Education & Leadership (Instructional Technology,
Secondary Concentration)
George Mason University
Presentation at the National Education Computing
Conference – Atlanta – June, 2007
Agenda
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Guidelines and research on appropriate uses
of technology in mathematics
Highlight some exemplary applets and
investigations with Virtual Manipulatives
Discuss instructional design and assessment
Q and A
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Are you…
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Classroom teacher?
College or university faculty?
Technology specialist or coordinator?
Curriculum Specialists?
Instructional designers?
Others?
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Appropriate Uses of Technology in
Mathematics
Education
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Five guidelines for appropriate uses of technology
were identified by Garofalo, Drier, Harper,
Timmerman, and Shockey (2000) and are
specific to mathematics education:
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Introduce technology in context
Address worthwhile mathematics with appropriate pedagogy
Take advantage of technology
Connect mathematics topics
Incorporate multiple representations (p. 67).
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REPRESENTATIONS-Defining
teachers and students’ use
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Both presentational model
(used by adults in instruction)
Re-presentational model
( produced by students in learning)
(Lamon, 2001)
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Importance of mathematical models
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• “Models of thinking into models for
thinking” (Gravemeijer 1999, 2000)
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• Helps students build a network of
mathematical relationships and make
generalizations
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• Gives access to students to form mental
images of concepts and context
…from tools to represent thinking
into models for thinking
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…build a network of
mathematical relationships
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…build deeper understanding through
multiple representations &
mental images
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Example of Mathematical Model to teach
density of rational numbers
Mathematical Models and Technology
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Effective Representational Models have…
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Transparency: how easily can the idea be seen through the
representation
Efficiency: Does the representation support efficient
communication and use?
Generality: Does the representation apply to broad classes of
objects or concepts?
Clarity: Is the representation unambiguous and easy to use
Precision: How close it the representation to the exact value?
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From National Research Council (2002) Adding it Up
Modeling perimeter and area
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http://www.shodor.org/interactivate1.0/activities/perm/index.html
http://nlvm.usu.edu/en/nav/frames_asid_281_g_2_t_4.html?open
=activities
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http://www.mathplayground.com/InteractiveGeometry.html
http://www.funbrain.com/cgi-bin/poly.cgi
Modeling “ten-ness”
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Modeling “ten-ness”
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Designing lessons using VM
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• Record thinking using a task sheet & print out work
for assessment purposes
• Stress the importance of classroom discourse before,
during and after using the tools
• Explore relationships and patterns in mathematics
using tools
• Use the 5 criteria for selecting representations
• Use to conceptually understand procedural
algorithm (ex. Fraction addition)
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Affordances of Virtual
Manipulatives and Applets
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Linked representations
Immediate feedback
Interactive and dynamic objects
Non traditional methods to model math
Differentiation
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New (nontraditional) ways to model math ideas
Probability
“Law of Large Numbers”
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Ease of differentiation and tiered
learning
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Assessment Issues when Using
Technology
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• Assessing the technology vs. assessing concepts
learned via the technology
• Using a task sheet to promote reflection
• Math discussions: partners, whole-class
• Performance-based assessments
• Assessments which test transfer (without
scaffolds)
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Mathematical thinking
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Mathematical Thinking:
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Understanding
Applying
Problem solving and reasoning
Making and testing conjectures
Creating
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Mathematical Thinking
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Sources of Virtual Manipulatives
and Applets
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http://matti.usu.edu/nlvm/nav/vlibrary.html
http://illuminations.nctm.org/tools/index.aspx
http://www.shodor.org/interactivate/
http://mason.gmu.edu/~jsuh4/mathbridges/index.h
tml
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References
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Battey, D., Kafai, Y, & Franke, M. (2005). Evaluation of mathematical inquiry
in commercial rational number software. In C. Vrasidas & G. Glass (Eds.),
Preparing teachers to teach with technology (pp. 241-256). Greenwich, CT:
Information Age Publishing.
Garofalo, J., Drier, H., Harper, S., Timmerman, M. A., & Shockey, T. (2000).
Promoting appropriate uses of technology in mathematics teacher preparation.
Contemporary Issues in Technology and Technology Education, 1(1), 66-88.
National Council of Teachers of Mathematics. (2000). Principles and
standards for school mathematics. Reston, VA: Author.
http://standards.nctm.org/document/eexamples/index.htm
National Research Council. (2001). Adding it up: Helping children learn
mathematics. Washington, DC: National Academy Press.
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Q&A
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