Adaptive feedback for learnr tutorials


#1

This is a companion discussion topic for the original entry at:

Adaptive feedback for learnr tutorials

https://www.rstudio.com/resources/videos/adaptive-feedback-for-learnr-tutorials/


The learnr package makes it easy to write interactive tutorials in R. Learnr provides a hook for evaluating student answers. I’ll demonstrate a package I’ve written, checkr, which can be used to provide adaptive, constructive feedback for students to help them correct their own errors. The package also helps instructors to monitor their student’s work.

Learn more about learnr: https://rstudio.github.io/learnr/

Daniel Kaplan - DeWitt Wallace Professor
Dr. Daniel T. Kaplan Dr. Daniel T. Kaplanis the DeWitt Wallace professor in the Mathematics, Statistics, and Computer Science Department at Macalester College in Saint Paul, Minnesota where he teaches statistics, applied mathematics, and computational science. He won the annual Excellence in Teaching award at Macalester in 2006 and has received curriculum development grants for this approach to statistical modeling from the Howard Hughes Medical Institute, the Keck Foundation, and the U.S. National Science Foundation.