Skip to content

Writing an interactive tutorial: Friday Dec 1 webinar

4:00 EDT, 3:00 CDT, 2:00 MDT, 1:00 PDT. Connect a few minutes early, if you can.
Link to the live webinar to be posted.

An interactive tutorial is an effective way to provide access to data computing to students. Tutorials can be arranged so that a student needs nothing more than a web browser. Within a tutorial, you can pose multiple choice questions, display results of statistical calculations, and provide students with an R session in which they can do their own calculations (with as much or as little guidance from you as you want).

Often, the best way to learn is by doing. In this webinar, you’ll start with a working tutorial and then modify it so that you can see how the components of tutorials work. To participate fully in the webinar

  1. Make sure that you have access to an RStudio system with these packages installed: learnr,shiny, knitr, markdown, and mdsint (which you need to install with the R command devtools::install_github("dtkaplan/mdsint").

– If you are a StatPREP participant, you can request an account on the StatPREP RStudio server. The necessary packages are pre-installed.
2. Download to your laptop or desktop the Rmd file containing the tutorial. The file is available here. During the webinar, we’ll show how to upload this file into your RStudio session.

Future webinars will cover how to deploy tutorials to a server so they can be accessed with a web browser, logging student activity, and providing automated checking of student submissions.

Starting RStudio: Friday Oct 27, 2017 Webinar

4:00 EDT, 3:00 CDT, 2:00 MDT, 1:00 PDT.
Link to the recording of the webinar

RStudio provides the means to write course notes, handouts, and even interactive tutorials. Together with GitHub, it lets you easily set up course-specific web sites and create materials for those sites. Oh … and since it built on the R software, it’s fully integrated with modern systems for data management, statistics, modeling, and even machine learning.

This webinar is an introduction to RStudio with a focus on creating and updating course web sites and writing course handouts.

In StatPREP Webinar I, we introduced GitHub for creating course web pages where you can post data, instructions, and other resources that you want your students to be able to access.

In this webinar (StatPREP Webinar II), you’ll start Read more

StatPREP Hubs Announced

StatPREP is oriented around eight geographical hubs. Each hub hosts two summer workshops in successive years. Each has a hub leader to coordinate with StatPREP participants in that region, organizing follow-up to the workshops. Read more

Lesson: What’s Normal?

This lesson is about the idea of “normal.” Of course, normal has a different meaning in statistics than it does in everyday language. We’re contrasting the two in the context of a large data set on births in the US in 2014. In particular, this lesson focuses on the age of the mother at the time of the birth of her baby.

The idea for this lesson came out of the StatPREP faculty development workshop at St. Kate’s University in Saint Paul, Read more

Setting up your own course web site: Sept. 29, 2017 Webinar

Video of the webinar

A course web site is an essential resource for an instructor: it provides a place for you to post links to StatPREP lessons as well other tutorial material and data sets of particular interest to you and even your own course handouts. Many instructors have access to “course management software” systems such as Blackboard or Moodle to which students can log in and view a home page. We’ll focus on another approach which requires no institutional resources and uses a completely free web service: GitHub. In the webinar, we’ll go through the steps of setting up a GitHub account and a course “repository” which serves a complete website with an address like (where you’ll customize the ID and course name to suit your situation). Then we’ll demonstrate how to create a web page that can include links to StatPREP tutorials and other resources you choose, upload data sets so your students can easily access them, and all the other things that can make your course more accessible and engaging for students.

Follow this link to the notes and GitHub repository used in the webinar. (Page down on the site to see the notes.)