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TL;DR: seeking advice on how to setup Jupyter and LearnR side-by-side to maybe write a decent paper later
This semester, my department is piloting a university-wide Jupyter Lab (later: for all of our data science courses). I have been using LearnR for the past few semesters, and I hope to compare student experience with both platforms during this upcoming semester. So far, I am thinking:
* assign Jupyter to half of the students, assign LearnR to half of the students
* both will be in the R programming language
both will have the same homework exercises
* note: LearnR by default gives users guidance/hints, and I have been using gradethis for automatic grading. I haven't started up with nbgrader for Jupyter yet.
How does this setup look? What advice do you have?

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