Thinking and Decision-Making
1. Gather and comprehend information from reading texts, handouts,
and lecture notes.
2. Analyze the structure of a problem situation and (when
possible) translate it into a variety of useful mathematical representations.
Mathematical Reasoning
The following five numbered categories specify the mathematical reasoning
abilities that are the targeted abilities for each student to acquire/develop
by the end of the course. Beneath each ability category are general performance
criteria indicating the type of content-specific performances that are
necessary to demonstrate mastery of the related skills and knowledge.
1. Mathematical Modeling
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Express, in ordinary (natural) language, model specifications and relationships
that are presented mathematically and/or visually using a graph, diagram,
or geometric figure.
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Recognize whether a mathematical model applies to a given situation,
e.g., a linear function, a quadratic function, an exponential growth, a
first-order kinetic process, etc.
-
Develop a mathematical model from an ordinary language specification,
including an appropriate visual representation, e.g., formula, equation,
graph, diagram, geometric figure.
-
Recognize what assumptions underlie a particular mathematical model
and how those assumptions can affect the validity of the model, e.g., the
implications of neglecting aspects of a biological or physical situation
in developing a mathematical model of it.
-
Reason symbolically with parameters, diagrams, etc., in order to determine
the influence of structural changes to a mathematical model.
2. Logical Reasoning
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Formulate a conjecture or draw conclusions from a given set of results
or observations.
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Construct a valid argument to support or refute a conjecture or hypothesis.
-
Determine the validity of an argument or identify the flaw in an invalid
argument.
3. Patterns and Similarities
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Recognize patterns, trends, or symmetries; continue a pattern.
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Identify relationships between alternate conceptions of mathematical
ideas and processes, e.g., the relationship between the visual representation
of changing slope and the rate of change of a (biological or physical)
process.
4. Problem-Solving Strategies
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Use intelligent guessing and conjecture to narrow the solution space
and to inform a choice of solution strategy.
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Reduce a problem to a simpler case, solve this case first, and then
try to generalize.
-
Determine when a certain procedure is appropriate for solving a problem,
e.g., computing an average, slope, or area.
5. Estimation and Approximation
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Determine when estimation techniques are appropriate and determine the
degree of accuracy in an estimate.
Recognize the reasonableness of a result through the use of an approximation
or an appropriate validity check, e.g., correct order of magnitude, correct
units, appropriate sign for a physical quantity such as time or distance.
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