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General
Education Requirement in Quantitative Reasoning
For
assistance with QR course approval, please contact Professor Gloria Mari-Beffa, Dept.
of Mathematics, Room 309, Van Vleck Hall, 263-1634 (maribeff@math.wisc.edu).
December 16,
1994
(a) Quantitative
Reasoning is the process of forming conclusions, judgments or
inferences from quantitative information. There are many aspects
to quantitative reasoning. These include the recognition and construction
of valid mathematical models that represent quantitative information;
the analysis and manipulation of these models; the drawing of conclusions,
predictions or inferences on the basis of this analysis; and the
assessment of the reasonableness of these conclusions.
(b) Timing:
The Faculty Senate left some flexibility for each College to decide
when the QR-A and QR-B requirements should be fulfilled and in what
order. Our recommendations to the Academic Planning Council are:
(I) QR-A must
be completed within the first 60 credits earned.
(II) In order
for a course to be approved as a QR-B course, it must have as a
prerequisite the completion of a QR-A course. This prerequisite
may be either a specific QR-A course or any QR-A course.
The reason for
recommendation (I) is that if the quantitative reasoning requirement
is to have some effect on a student's ability to use quantitative
reasoning in other courses (and not merely be an exit requirement),
then the requirement should be satisfied early on. The reason for
recommendation (II) is that it is the intent of the QR-Implementation
Committee that QR-B courses make substantial use of some of the
skills to be developed in QR-A courses.
Sanctions for
not completing QR-A within the first 60 credits would be the same
as those used for other requirements with a deadline for completion;
namely, a student would have to obtain permission to register by
consulting with an appropriate advisor.
(c) Transfer students: Our recommendation to the Academic
Planning Council for the satisfaction of the QR-A requirement by
transfer students is:
(III) Transfer
students who have not fulfilled the QR-A requirement at the time
of admission, and who are admitted with 60 or more credits, must
complete the QR-A requirement during their first semester in residence.
Transfer students
who have not fulfilled the QR-A requirement at the time of admission,
and who are admitted with fewer than 60 credits, must complete the
QR-A requirement prior to obtaining 60 degree credits (degree credits
include courses transferred and those taken in residence).
(d) Exemption: Our recommendation to the Academic Planning
Council concerning exemption from the QR-A requirement is:
(IV) Exemption
from the QR-A requirement shall mean a score on placement tests
that is high enough for entrance into Math 114 (College Algebra
and Trigonometry).
Students who
are exempted from QR-A have therefore demonstrated, through the
placement tests, a level of mathematical knowledge and skills which
is higher than Math 101 (Intermediate Algebra) but not necessarily
as high as expected upon completion of Math 112 (College Algebra).
Using this exemption criterion avoids creating (perhaps artificially)
a new cutoff level on the placement exams.
(e) Criteria
for a course to be labeled a quantitative reasoning course (Certification
of courses):
(el) Criteria
for a QR-A course: To be certified as a QR-A course, a course
must provide students with skills in mathematics, computer science,
statistics or formal logic that are needed for dealing with quantitative
information. The skills must be broad-based in order that they have
a positive impact on the readiness of students to take a QR-B course
in a variety of disciplines.
(e2) Criteria
for a QR-B course: To be certified as a QR-B course, a course
must make significant use of quantitative tools in the context of
the other course material, for example:
- the recognition
and construction of mathematical models and/or bypotheses that
represent quantitative information,
- the evaluation
of these models and hypotheses,
- the analysis
and manipulation of mathematical models,
- the drawing
of logical conclusions, predictions or inferences, and
- the assessment
of the reasonableness of conclusions.
A QR-B course
may, but is not required to, focus on quantitative reasoning in
one specific discipline.
Courses that
do not satisfy the criteria for QR-B courses include those
that deal with quantitative information only in one or more of the
following ways:
- Students
are given a mathematical model (equations, formulas, ...) and
are merely required to produce a numerical or qualitative answer
through routine calculations or symbolic manipulation.
- Students
are required to use a computer package to perform calculations
or carry out a study without subjecting their results to critical
analysis, comparing them to other numerical data, arriving at
conclusions, predictions or inferences, and assessing their reasonableness.
- Students
are required to deal with quantitative information in primarily
descriptive or conceptual ways. For example, courses in "research
methods" that lack a substantial reasoning component based
on tools covered in a QR-A course would not be certified.
(f) Assessment:
Assessment provides an opportunity to measure the degree to which
the QR-A and QR-B courses meet the objectives for general education
(Faculty Document 1065, dated 4 April 1994, and the Report of the
Committee on Undergraduate Education, dated 20 August 1993) and
those outlined for these QR requirements.
An important
component of assessment is to provide a feedback loop of information
for continuous improvement of our objectives and outcomes in quantitative
reasoning. UW-Madison has an existing faculty committee on quantitative
reasoning assessment which has concentrated primarily on developing
specially constructed, course specific tests to determine the quantitative
reasoning skills for junior year courses which have a variety of
quantitative reasoning prerequisities. This core activity will continue.
The assessment
measures adopted will be over and above the normal course evaluations
conducted by individual instructors. Departments with courses that
have been approved as meeting the QR-A or QR-B requirement should
expect to cooperate, on a representative sampling basis, in a variety
of outcomes assessments with regard to these courses. Among the
techniques which may be used will be embedded questions, portfolios,
course exit interviews, senior exit interviews, and alumni surveys.
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