Via Dave Richeson:

For the last 10+ years I’ve taught topology using a modified Moore method, also known as inquiry-based learning (IBL). The students are given the skeleton of a textbook; then they must prove all the theorems and solve all of the problems. They are forbidden from looking at outside sources. The class types up their work as they go. At the end of the semester they have a textbook

that they wrote. It is a great way to learn, and at the end of the semester the student are thrilled to hold a bound copy of the textbook that they created.

I love this idea! Wikipedia lists several universities with math courses using the Moore method, but none in probability or mathematical statistics. Google doesn’t suggest much besides this blog post with the same idea, and this article which seems to have good advice but is no longer accessible.

Have you ever seen the Moore approach used for a statistics course? Do you have any success stories or pitfalls to share?

The Journal of Inquiry-Based Learning in Mathematics (http://www.jiblm.org/) has IBL notes on a variety of topics and links to more IBL notes collections. I see at least one Intro to Prob & Stats course. (It isn’t my area so I don’t have any other more concrete suggestions.) Good luck!

Excellent, thank you — I will take a look!

I’ve been working on a new R package called teachr, the goal of which is to create a repository for problem-based lesson plans and curricula from problem-based statistics courses. Still in early draft mode, but it’s getting there. It’s up on github right now. Thin on content so far, but there is more on the way! https://github.com/nickreich/teachr

Thanks, that looks handy!

At the useR! conference I saw some talks in a loosely-similar spirit. If you haven’t seen them, check out the bespoke package:

http://biostat.mc.vanderbilt.edu/wiki/pub/Main/UseR-2012/86-Anderson.pdf

…and OpenIntro:

http://biostat.mc.vanderbilt.edu/wiki/pub/Main/UseR-2012/113-Cetinkaya-Rundel.pdf

http://www.openintro.org/stat/labs.php