Difference between revisions of "AdaptiveParameters"
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<em>This code snippet shows the essential PG code to include adaptive parameters in a problem solution. Note that these are <b>insertions</b>, not a complete PG file. This code will have to be incorporated into the problem file on which you are working. This page is largely drawn from [http://webwork.maa.org/moodle/mod/forum/discuss.php?d=6209 this discussion thread], which looks at one application.</em> |
<em>This code snippet shows the essential PG code to include adaptive parameters in a problem solution. Note that these are <b>insertions</b>, not a complete PG file. This code will have to be incorporated into the problem file on which you are working. This page is largely drawn from [http://webwork.maa.org/moodle/mod/forum/discuss.php?d=6209 this discussion thread], which looks at one application.</em> |
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| + | Note that if we want to have a formula that is only unique up to a specified <em>additive</em> constant, we have the <code>upToConstant</code> option in the answer checker, as discussed in the [[FormulasToConstants|formulas up to constants]] page. |
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Then in the answer, we define a [[CustomAnswerCheckers|custom answer checker]] that creates a copy of the Context in which an adaptive parameter is allowed, redefines the student and correct answers in that context, and checks that the answers match with the adaptive parameter. |
Then in the answer, we define a [[CustomAnswerCheckers|custom answer checker]] that creates a copy of the Context in which an adaptive parameter is allowed, redefines the student and correct answers in that context, and checks that the answers match with the adaptive parameter. |
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| + | Again, note that if we just want to allow a solution to differ by an <em>additive constant</em> from the answer in the problem, we can use the existing MathObjects infrastructure, as discussed on the [[FormulasToConstants|formulas up to constants]] techniques page. |
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Revision as of 16:09, 21 May 2009
Adaptive Parameters: PG Code Snippet
This code snippet shows the essential PG code to include adaptive parameters in a problem solution. Note that these are insertions, not a complete PG file. This code will have to be incorporated into the problem file on which you are working. This page is largely drawn from this discussion thread, which looks at one application.
Note that if we want to have a formula that is only unique up to a specified additive constant, we have the upToConstant option in the answer checker, as discussed in the formulas up to constants page.
| PG problem file | Explanation |
|---|---|
$aSoln = Compute("e^x - 1");
|
In this case we work with the adaptive parameters only in the custom answer checker that we use for the problem, so no special set-up needs to be done in the problem set-up section of the PG file. Here we've defined |
BEGIN_TEXT
Find one solution to the differential equation
\[ \frac{dy}{dx} = y + 1. \]
\( y = \) \{ ans_rule(35) \}
END_TEXT
|
And the text section of the file is similarly "normal." The general solution to this differential equation is y = c ex - 1, but a student could also write it as something like y = ec ex - 1. We use the adaptive parameter to find the value of the constant. |
ANS( $aSoln->cmp( checker => sub {
my ( $correct, $student, $self ) = @_;
my $context = Context()->copy;
$context->flags->set(no_parameters=>0);
$context->variables->add('C0'=>'Parameter');
my $c0 = Formula($context,'C0');
$student = Formula($context,$student);
$correct = Formula($context,"$c0 e^x - 1");
return $correct == $student;
}));
|
Then in the answer, we define a custom answer checker that creates a copy of the Context in which an adaptive parameter is allowed, redefines the student and correct answers in that context, and checks that the answers match with the adaptive parameter. Again, note that if we just want to allow a solution to differ by an additive constant from the answer in the problem, we can use the existing MathObjects infrastructure, as discussed on the formulas up to constants techniques page. |
