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Measurement: Instructional
Design and Approach
One of the primary
goals in exploring the curriculum and learning
implication of measurement is to identify tangible
means of translating foundational research and
theory (as applied at the early ages, see Measurement:
Developmental Research and Theory at http://www.designedinstruction.com/learningleads/measurement-research.html)
into classroom practicethe research-based
design of a flexible learning cycle. In doing
so, we look toward those aspects necessary for
constructing the design, including the standards
and objectives to be met, the expected trajectory
or potential paths along which we anticipate
that students' learning will progress, and the
general heuristics supporting our design. First,
however, we look toward the very philosophy
of the "flexible" design that must,
if the teaching and learning is to be excellent
rather than "good enough," form the
umbrella under which all other components reside.
Flexibility:
Developmental Theory Meets Classroom Mathematical
Practice
As with our other analyses of design and the
heuristics guiding those designs, the importance
of "flexibility" in a sequence cannot
be overstated. No group ever "learned."
As such, an effective cycle acknowledges that
the developmental research (in this case with
regard to measurement) applies to the individual
child (Piaget & Inhelder, 1956; Piaget et
al., 1960). However, it must also simultaneously
recognize that the shared mathematical practices
that evolve in the social setting of the classroom
over the course of a unit affect the
learning of the individual in a general sense.
A useful cycle must therefore attempt to foresee
how the various learning increments experienced
by individual students will influence the mathematical
practices that are taken-as-shared by the class
as a whole, and vice versa (Simon, 1995). In
other words, what we as teachers or facilitators
do at various junctures is determined by two
often conflicting realitieswhat we need
to do to address the needs of individual students
where they are in their measurement learning
trajectory (discussed in terms of younger children
in PreK-2
Measurement Learning Trajectory at http://www.designedinstruction.com/learningleads/measurement-trajectory.html),
and what we need to do to establish certain
common practices and understandings that will
allow us to move the class forward with some
stability. Contrary to the instructional process
predominant in most classroomsteachers
far too often determine even the step-by-step
procedures students will "learn" and
apply in order to solve problemsthe cycle
and the sequences within should serve as a road
map which, though we may deviate, makes the
trip so much more sound. Before discussing a
cycle design that meets these criteria, it is
helpful to identify certain heuristics we consider
of importance for promoting measurement understanding
and abilities, as follows.
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Realistic
Application Heuristic: In this heuristic,
due largely to the nature of measurement
and its applicability to the world around
us, we significantly raise the bar set
by NCTM's general recommendations that
students be provided with relevant situations
within which they are expected to apply
and hone their mathematical skills. A
student's learning experience is significantly
enhanced when instruction and learning
are grounded in a realistic scenarioso
much so that certain forms of instruction
(e.g., Realistic Mathematics Education)
are based principally on this heuristic
(Gravemeijer, 1994a; Streefland, 1991;
Treffers, 1987). Note that by "realistic"
we do not mean that situations posed must
be real in the strict sense of the word,
but rather that they form a backdrop with
which students can relate and (hopefully)
have some base of experience, and through
which they can imagine their work has
real value and purpose.
Numerical
Reasoning Heuristic: True measurement
understanding involves other mathematical
content and process, especially understanding
and use of numerical relationships and
systemsunavoidable if students are
to go beyond the act of measuring to using
measurement with insight and in a way
that demonstrates real understanding.
As such, these aspects of numerical reasoning
are an essential component of operational
measurement, the last developmental stage.
However, they also play a role in earlier
stages. From the outset of a student's
growth in measurement understandings and
skills, integral connections include counting
and use of models to connect numbers to
quantities and the base-ten system, strategies
for adding and subtracting, and the capability
to reason and modify activity based on
the effects of such computations. At later
stages these same aspects are reflected
in the student's use of fractions and
decimals on number lines and within the
base-ten system, and strategies for multiplying,
dividing, and using relationships and
properties of numbers (inverse, associative,
commutative, distributive) to simplify
computations in a meaningful and reflective
manner.
Tools
as Models Heuristic: Tools function
as a reliable and effective means for
modeling many of the essential components
of measurement. Through their effectiveness
in integrating seemingly disparate components
and clarifying relationships between these
components, accepted and research-supported
strategies for introducing, studying,
applying and revising models become the
cement that allows students to form multidimensional
understandings (Designed Instruction,
2003 - see Modeling
for Student Learning: A translational
meta-analysis of scientifically based
education research evidence at http://www.designedinstruction.com/research/modeling.html).
Reaching beyond the content considered
as part of the Number and Operations Standard
in Principles and Standards for School
Mathematics, modeling provides an
integrative mechanism by which the process
standards of representation (creating,
translating among, and using representation
to interpret meaning), reasoning and proof
(especially making and investigating conjectures),
and problem solving (adapting and applying
strategies, monitoring their effects,
and revising accordingly) also become
essential components of an appropriate
and effective instructional approach to
measurement.
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Learning
Cycle Design: Consistent Approaches for Meeting
Individual and Age-Specific Needs
As discussed, an effective approach is determined
equally by analyses that are microscopicindividual
student needsand macroscopictaken-as-shared
classroom mathematical practices. The resulting
approach describes a learning cycle that addresses
both sets of needs. From a large picture view,
the cycle describes general phases of instruction
and learning. Across and within each phase,
sequences and events, both by teachers and students,
are tailored to support the expected individual
learning trajectory to the extent possible.
The non-grade-specific heuristics discussed
in the last section form a foundation for the
design of a learning cycle that, when taken
from this broader view, provides an effective
framework for organizing an approach that can
take into account age-specific subtleties within
and across each phase of the cycle. This is
in keeping with our measurement learning design
philosophy, because in fact, close inspection
reveals that each heuristic itself spans various
levels of complexity (see for example the growth
in measurement understandings from early to
later stages described in the Numerical Reasoning
Heuristic). The following cycle phases provide
a general framework for addressing both instructional
and learner needs toward acquiring measurement
understandings and abilities.

Though
the sequence of instructional activities must
remain flexible within each phase and across
a unit of instruction, the expected learning
trajectory may and should be fitted to the phases
of the cycle before instruction begins. The
trajectorythe individual change in measurement
concept understandings and abilitiesand
therefore the actual events of the overall instructional
sequence support the heuristics throughout,
and do so in different ways and through different
means for each grade- or age-level addressed.
Gravemeijer,
K. (1994). Developing realistic mathematics
education. Utrecht, Netherlands: CD-ß
Press.
Piaget,
J., & Inhelder, B. (1956). The child's conception
of space. London: Routledge & Kegan Paul.
Piaget,
J., Inhelder, B., & Szeminska, A. (1960). The
child's conception of geometry. New York:
Basic Books.
National
Council of Teachers of Mathematics (2000). Principles
and standards for school mathematics. Reston,
VA: National Council of Teachers of Mathematics.
Simon,
H. (1995). Number and Measurement. In M. Rosskopf,
L. Steffe, & S. Taback (Eds.), Piagetian
cognitive-development research and mathematical
education (pp. 135-149). Washington, DC:
National Council of Teachers of Mathematics.
Streefland,
L. (1991). Fractions in realistic mathematics
education. A paradigm of developmental research.
Dordrecht, Netherlands; Kluwer.
Treffers,
A. (1987). Three dimensions: A model of goal
and theory description in mathematics instructionThe
Wiskobas Project. Dordrecht, Netherlands:
Reidel.
If
this is your first time
to visit LearningLeads, or if it
has been awhile, be sure to take a look at the
LearningLeads
homepage at: http://www.designedinstruction.com/learningleads/index.html
For
more on measurement, go to the Measurement,
Geometry, and Spatial Sense curriculum and
learning strand overview page at: http://www.designedinstruction.com/learningleads/measurement-geometry.html
If
you teach or have colleagues who work with preschoolers,
go to the PreKorner
homepage to browse similar resources, at:
http://www.designedinstruction.com/prekorner/index.html
You
may be particularly interested in the early
childhood numeracy resources, at: http://www.designedinstruction.com/prekorner/early-numeracy.html
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