David Kane sends along this article he just wrote with the above title and the following abstract:

A community is a collection of people who know and care about each other. The vast majority of college courses are not communities. This is especially true of statistics and data science courses, both because our classes are larger and because we are more likely to lecture. However, it is possible to create a community in your classroom. This article offers an idiosyncratic set of practices for creating community. I have used these techniques successfully in first and second semester statistics courses with enrollments ranging from 40 to 120. The key steps are knowing names, cold calling, classroom seating, a shallow learning curve, Study Halls, Recitations and rotating-one-on-one final project presentations.

There’s some overlap with the ideas in chapters 1 and 2 of my forthcoming book with Aki, “Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference,” but Kane has a bunch of ideas that are different from (but complementary) to ours. I recommend our book (along with Rohan Alexander’s Telling Stories with Data, Elena Llaudet and Kosuke Imai’s Data Analysis for Social Science, our own, Regression and Other Stories); I also recommend Kane’s article. Kane, like Aki and me in our new book, focus on ways to get students actively involved in class. I hadn’t thought about this in terms of “community,” but that seems like a good way to frame it.

I’m sure there’s lots more out there; the above list of resource is focused on modern introductions to applied statistics and active ways to learn and teach this material.