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I've been attempting to find out more research and resources on generating random math problems based on performance and calculated difficulty. There's a few places that I'm just now stumbling upon, but I figured I'd ask the community what they recommend reading up on.

There's an article here on an application based on research at MIT I'm wondering where specifically that research resides or what I can learn from it and others.

My goal is to first understand how probability, priority queues and anything else plays a role (if at all) in generating varying math problems.

Any resources and recommended reading would be most useful if you can provide that.

Thanks :)

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The only stated relation to MIT at the second link is "developed by MIT graduates". That or equivalent words appear in a few places on the web site, but I see no claim that the program or patents are related to research conducted at any university.

Wikipedia has a page on adaptive testing:

The ideas are similar to the statistical protocols used in medical trials, that allow for early stopping in case of unexpectedly good or bad results.

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Ah this is precisely apart of the research I'm looking for. Thanks! – nyxtom Dec 6 '10 at 5:16

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