Hi, Alexandre,
I’ve used Jupyter notebooks and electronic submissions for a Python programming
course, however, we ‘rolled our own’ auto-grader for certain assignments. The
notebook format is, in my opinion, ideal for teaching programming and assigning
exercises and projects.
The Racket kernel for Jupyter was intuitive to install/set up on my local
machine, but I’d advise for a large class, if you have the resources, setting
up a Jupyter Lab instance on a server and allowing students to log into that,
rather than troubleshooting each individual setup. (This, of course, depends on
the size of the class; my sections have all been ~40, for a total enrollment of
~160/semester.)
Using GitHub with Jupyter is a good combination; GitHub has web-based previews
of Jupyter notebooks which allow for reading (no execution) without having to
download or run Jupyter locally most of the time.
We’ve been using Jupyter notebooks with GitHub Classroom
I’ll also call your attention to nbgitpuller
(https://github.com/jupyterhub/nbgitpuller), which makes distributing notebooks
and code incredibly easy at scale.
Best,
Sean Bailey
University of Pittsburgh
On Jan 22, 2020, 11:54 -0500, Alexandre Rademaker , wrote:
>
> Hi,
>
> I am planning to use Racket this semester for a course on introduction to
> programming that I will be teaching (first year of undergrad). The idea is to
> propose weekly projects for the students. Does anyone have experience and
> insights into environments for administrating this workflow? I need
>
> 1. A project is published with a skeleton with functions to be filled with
> code
> 2. some test cases already visible for the students
> 3. 1-2 test cases are not visible for the students
> 4. the student submit the project with the changes in the code (filling the
> blanks)
> 5. the system execute and give the feedback
> 6. some simple way to summarize the results per project
>
> GitHub Classroom with Travis is an option. Jupiter Notebook using Racket
> kernel is another (assuming Jupiter universe has some support for assignments
> like https://cocosci.princeton.edu/papers/jupyter.pdf or
> https://www.jupitered.com/). Does anyone have something to share about it?
>
> I would prefer open source solutions.
>
> Best,
> Alexandre
>
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