A Closer Look
The "technology" issues are usually teaching
and learning issues
The above dialogue is similar to many discussions
occurring in math departments since the late 1980's and early '90's. At
first glance, these discussions appear to be a debate about "things
that
must be learned" (techniques of integration) versus "things that
must be used" (Mathematica). However there are deeper
underlying themes. A characteristic of the debate is that the
"technology" issues are quite often teaching and learning
issues. Student errors, for example the error in computing an
average by entering a + b/2 into a calculator,
are cited as a by-product of the use of technology. But such errors
certainly predate the use of calculators and computers in mathematics
education--there was never a Golden Age of Accuracy in which calculus
students did not make errors.
Rather than complain about the student errors, the proper
action for teachers is to study and understand the errors students make.
Such a study has been successfully done at the elementary school level by
Kurt VanLehn, who argues that as children acquire arithmetic skills they
often develop cognitive "bugs"--small, local misconceptions that
cause systematic errors.
VanLehn has described a taxonomy of these bugs in student reasoning. By
focusing on these procedural misconceptions, he studies how mathematics
students acquire procedural skills in instructional settings and what
these errors reveal about the learning process [16].
At the level of college calculus, a less formal but
nevetheless interesting and useful collection of possible student errors
has been assembled by Barry Cipra [17]. Cipra begins a section on integrals with this
advice to students:
If you remember nothing else from calculus, remember
this: A definite integral measures the area beneath a curve. In
particular, a positive function must have a positive
integral. Thus
![[Graphics:Images/TechnologyAndCalculus_gr_4.gif]](Images/TechnologyAndCalculus_gr_4.gif)
is clearly wrong because is clearly positive. [page 1].
Cipra actually introduces two errors here: a bookkeeping
error, in which the upper limit of integration is wrongly written as -1
instead of 1, and an algebraic procedural error, in which the expression
becomes . What is the remedy for the student who
makes such an error? To some, the answer is "more drill on definite
integration." But the conceptual error here is the failure to note
that the definite integral of the positive function cannot have a negative
value. Even if drill would improve the student's accuracy with respect to
data entry and algebraic manipulation, drill does not get at the
conceptual error.
A first example with Calculus WIZ
Here is an example of how a problem might be designed
to take advantage of the Calculus WIZ software, with
Mathematica running as the underlying support system. Suppose that
the previous problem is posed in the following way:
Exercise X.X:
In the context of a technical article, the value of
![[Graphics:Images/TechnologyAndCalculus_gr_8.gif]](Images/TechnologyAndCalculus_gr_8.gif) is given as -6.
- Explain why this must be
an incorrect value.
- What sort of human (or
machine) error might have resulted in this incorrect value?
The student must deal first with the significant
issue--that the function with the given limits of
integration cannot have a negative integral. Then the student can bring up
the definite integral template and experiment with possibilities to
explain the second value. For example, the student could use the
appropriate solver to generate formatted answers to the homework.
![[Graphics:Images/TechnologyAndCalculus_gr_10.gif]](Images/TechnologyAndCalculus_gr_10.gif)
Answer to Exercise X.X
- The value
![[Graphics:Images/TechnologyAndCalculus_gr_11.gif]](Images/TechnologyAndCalculus_gr_11.gif) = -6 is
obviously wrong, because this is an area integral. (See Calculus
WIZ Section 4).
- The incorrect value would result if someone entered the
limits of integration in the wrong order.
![[Graphics:Images/TechnologyAndCalculus_gr_12.gif]](Images/TechnologyAndCalculus_gr_12.gif)
Imaginative strategies that students might use for
exploring mathematics with Calculus WIZ and
Mathematica.
With a few suggestions, students will try things out
with Mathematica that they would not attempt, or be able to attempt
with traditional approaches. Although the real power of a system like
Calculus WIZ comes into play when students begin to study
significant problems, the lower-level mechanics of calculus can also be
made more meaningful.
In this regard, The Mathematica Book contains a
significant message. [p 815]
Particularly if you introduce new mathematical
functions of your own, you may want to teach Mathematica new kinds
of integrals. You can do this by making appropriate definitons for
Integrate....You can set up your own rule to define the integral
of a function such as Sin[Sin[x]] to be, say, a "Jones"
function, giving you results such as IntegrateSin[Sin[3x]]ddx
=
This changes the rules of the game of learning
calculus. The student is handed an unexpected option: Define your own
integral and explore the consequences of your definition!
Students can also be given "fuzzy" problems
to explore. For example, in the email exchange above, the skeptic states
his belief that students should understand the tricks used to find a
closed-form for . The answer--
"What makes more interesting than ?" --suggests the following
non-traditional question.
Calculus students soon find out that
expressions may
"look similar" in symbolic form, but some admit simple
closed-form integrals...and some don't. For example, consider dx] and ] dx]. One is easy and the other hard.
However, the graphs, say over to , certainly show a difference. The hard
integeral has a "more complicated" graph.
In general, does looking at the graphs of a function and
its integral give any indication as to how hard it might be to find a
closed-form expression for its integral?
The student can begin by verifying the relative
complexity of the graphs. Since the syntax of Calculus WIZ is
essentially the same as that of Mathematica, the student may choose
to work directly in the Mathematica program:
![[Graphics:Images/TechnologyAndCalculus_gr_21.gif]](Images/TechnologyAndCalculus_gr_21.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_22.gif]](Images/TechnologyAndCalculus_gr_22.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_23.gif]](Images/TechnologyAndCalculus_gr_23.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_24.gif]](Images/TechnologyAndCalculus_gr_24.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_25.gif]](Images/TechnologyAndCalculus_gr_25.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_26.gif]](Images/TechnologyAndCalculus_gr_26.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_27.gif]](Images/TechnologyAndCalculus_gr_27.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_28.gif]](Images/TechnologyAndCalculus_gr_28.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_29.gif]](Images/TechnologyAndCalculus_gr_29.gif)
![[Graphics:Images/TechnologyAndCalculus_gr_30.gif]](Images/TechnologyAndCalculus_gr_30.gif)
Verifying the statement is just the beginning. The
student must now select functions that admit closed-form solutions and
those that do not. This is an empirical approach that is not naturally
encouraged in traditional mathematics instruction. From these experiments,
a student should come to the conclusion that simple graphs do not
necessarily imply closed-form solutions.
The role of the instructor is to help the student
understand the significance of a "mathematical" answer to the
question. Here is one example:
The answer is "No!" Multiply a complicated
function by its derivative and integration is easy. The graph will usually
be more complicated. Add lots of fairly simple functions and you can get
something arbitrarily complicated. But if the terms can be integrated in
closed form, so can the sum. For example, construct a polynomial with 100
terms. [18]
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