As enrolments in statistics and data science courses grow and as these courses become more computational, educators are faced with an interesting challenge -- providing timely and meaningful feedback, particularly with online delivery of courses. The simplest solution is using assignments that are easier to auto-grade, e.g. multiple-choice questions, simplistic coding exercises, but it is impossible to assess mastery of the entire data science cycle using only these types of exercises. In this talk I will discuss writing effective learnr exercises, providing useful and motivating feedback with gradethis, distributing them at scale online and as an R package, and collecting student data for formative assessment with learnrhash.
You can find the source code for the learnr tutorial here as well as on RStudio Cloud.
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Packages:
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Workshop: Building interactive tutorials in R
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Blog posts:
- How to deliver learnr tutorials in a package by Desirée De Leon
- Teach R with learnr: a powerful tool for remote teaching by Allison Horst
- Publishing learnr Tutorials on shinyapps.io by Angela Li