Difference between revisions of "New Authors landing page"
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+ | == Learning how to Author WeBWorK problems == |
* If you're just starting out, see the '''[[Problem Authoring Background Information]]''' and '''[[:Category:Sample Problems|sample problems]]''' first. |
* If you're just starting out, see the '''[[Problem Authoring Background Information]]''' and '''[[:Category:Sample Problems|sample problems]]''' first. |
Revision as of 19:33, 10 June 2009
Contents
Learning how to Author WeBWorK problems
- If you're just starting out, see the Problem Authoring Background Information and sample problems first.
- If you're working on a problem in a specific area you may find the more advanced templates useful.
- If you're working on a problem and want to find out how to do one particular look at the index of problem techniques section.
- More information on using MathObjects in authoring problems.
- Use the online calculators to try things out.
Basic info and Sample Problems
- Index of Sample Problems
- Template 1 (the basic structure of a WeBWorK PG problem file)
- SampleProblem1a (old-style, non-MathObjects example)
- Template 2 (formulas, multiple choice, and string entry problems)
- Template 3 (dynamically generated graphs)
- More Advanced Sample Problems
- ....
Manuals and HOWTOs
- MathObjects, an object system for manipulating mathematics in WeBWorK problems.
- PGLabs, On-line labs for rendering of PG code. These labs allow you to experiment with PG syntax online.
- Basic Perl syntax — PG is based on Perl, so it is important to know some basic Perl syntax.
- [How BEGIN_TEXT...END_TEXT blocks work]]
- Problem Authoring Best Practices for problem authoring.
- What to do if you find a bug in a problem
- Tagging Problems with metadata for indexing and searching.
- Specialized HOWTOS
- SequentialProblems revealing the problem one step at a time
- Converting CAPA problems for use with WeBWorK
Reference Documents
- Index of Problem Techniques ** very useful code fragments
- PG macro/library documentation from CVS -- original documentation embedded in the code
- Notes on training authors, and suggestions for further documentation-- Sam Hathaway
- The Good Questions project at Cornell University [1]