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Each course will also be anchored in a
taxonomy of knowledge that will illustrate the relative position
of the course as a whole, and each topic within the course can
be seen as leading to other topics and eventually to other
courses. This taxonomy will be presented as a map on a browser
screen with the various knowledge areas represented visually,
and with hyperlinks to the lower levels and successively to the
actual topics.
Each course will also be anchored in a
taxonomy of knowledge that will illustrate the relative position
of the course as a whole, and each topic within the course can
be seen as leading to other topics and eventually to other
courses. This taxonomy will be presented as a map on a browser
screen with the various knowledge areas represented visually, and
with hyperlinks to
the lower levels and successively to the actual topics.
For example, the domain of mathematics
could have a taxonomy like this, suitably presented:
-
Base course: arithmetic
-
Base course: geometry
-
Base course: trigonometry
-
Algebra builds from arithmetic
-
Statistics builds from arithmetic
-
Analytic geometry builds from algebra
and geometry
-
Calculus builds from analytic geometry
and trigonometry
-
Number theory builds from arithmetic
-
Differential equations builds from
calculus
-
Linear algebra builds from algebra
-
Multivariate calculus builds from
calculus and linear algebra
-
Multiple regression analysis builds
from statistics and calculus
Obviously, the exact taxonomy can be
debated quite vigorously, and this is only a quick example
intended to be illustrative rather than definitive. However, the
purpose is instructional efficiency, not mathematical purity.
Students are rarely told the purpose for what they are studying,
and how all the pieces fit together. Providing a structure,
though not required by this proposed design, will improve the
efficiency of the learning that results. Possible representation of
taxonomies with non-hierarchical relationships may be considered at a future point.
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