Collect notebooks from students

[jrasero]

Hi,

I've set up a jupyterhub distribution for my class using this littlest jupyterhub option. Everything works great, so thanks a lot for having developed such an amazing project.

I have also been able to distribute different notebooks with my students using the nbgitpuller option and it all worked like a charm, so again, thanks a lot for this, as it's really easy to do.

Now, the question and doubt that came to my mind is how to collect these notebooks that I distributed from them. Say I distributed them a notebook vía nbgitpuller as I said above, then the students do some work on It and I want to evaluate this work. What's the best for them to send me back these notebooks?

I am on the process of trying to incorporate nbgrader to jupyterhub, which will simplify things a lot, but in the meantime I would need to have an option for them to send me their work if needed.

Any help will be really much appreciated!!

[welcome[bot]]

Thank you for opening your first issue in this project! Engagement like this is essential for open source projects! :hugs:
If you haven't done so already, check out Jupyter's Code of Conduct. Also, please try to follow the issue template as it helps other other community members to contribute more effectively. You can meet the other Jovyans by joining our Discourse forum. There is also an intro thread there where you can stop by and say Hi! :wave:
Welcome to the Jupyter community! :tada:

[westurner]

• https://github.com/quobit/awesome-python-in-education#jupyter

  • https://github.com/jupyterhub/jupyterhub-deploy-teaching demos nbgrader config:
  • https://github.com/jupyterhub/jupyterhub-deploy-teaching/issues/106

  • https://github.com/jupyterhub/jupyterhub-deploy-teaching/blob/63c89099880653f1ad97025dd9e652ea102602b1/group_vars/jupyterhub_hosts#L49-L54

    # ---------------------------------------------------
    # Nbgrader config directories
    # ---------------------------------------------------
    
    nbgrader_log_dir: /var/log/nbgrader
    nbgrader_exchange_dir: /srv/nbgrader/exchange

    • https://github.com/jupyterhub/jupyterhub-deploy-teaching/blob/63c89099880653f1ad97025dd9e652ea102602b1/host_vars/hostname.example#L193-L202

      
      # ------------------------------------------------------------------------------
      # nbgrader
      # ------------------------------------------------------------------------------

    nbgrader is a system for assigning, collecting and grading notebook based

    homework assignments. For more details see:

    http://nbgrader.readthedocs.io/en/stable/

    Set to true to enable.

    use_nbgrader: false

    
    - https://github.com/jupyterhub/jupyterhub-deploy-teaching/blob/63c89099880653f1ad97025dd9e652ea102602b1/deploy.yml#L42-L43

    - role: nbgrader
      when: use_nbgrader is defined and use_nbgrader

    
    - https://github.com/jupyterhub/jupyterhub-deploy-teaching/blob/63c89099880653f1ad97025dd9e652ea102602b1/roles/nbgrader/tasks/main.yml#L1-L33
    ```yaml
    ---
    
    - name: pip install nbgrader
      pip: name={{item}} state=present executable=pip
      become: true
      with_items:
        - nbgrader
    
    - name: make sure /var/log/nbgrader exists
      file: path={{nbgrader_log_dir}}/ state={{item}} owner=root group=root mode=0755
      become: true
      with_items:
        - directory
        - touch
    
    - name: make sure /srv/nbgrader/exchange exists
      file: path={{nbgrader_exchange_dir}}/ state={{item}} owner=root group=root mode=0777
      become: true
      with_items:
        - directory
        - touch
    
    - name: install the nbgrader nbextensions
      command: jupyter nbextension {{item}} --sys-prefix --py nbgrader
      become: true
      with_items:
        - install
        - enable
    
    - name: install the nbgrader serverextension
      command: jupyter serverextension enable --sys-prefix --py nbgrader
      become: true
    

[westurner]

Ottergrader is newer than OkPy is newer than nbgrader.

• https://otter-grader.readthedocs.io/en/latest/otter_assign/v1/notebook_format.html

From: https://otter-grader.readthedocs.io/en/latest/

Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to grade Python and R assignments for classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor’s assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograding platforms of 3rd-party learning management systems (LMSs), non-containerized grading on an instructor’s machine, and a client package that allows students to check and instructors to grade assignments their own machines. Otter is designed to grade Pyhon and R executables, Jupyter Notebooks, and RMarkdown documents and is compatible with a few different LMSs, including Canvas and Gradescope.

The core abstraction of Otter, as compared to other autograders like nbgrader and OkPy, is this: you provide the compute, and Otter takes care of the rest. All a instructor needs to do in order to autograde is find a place to run Otter (a server, a JupyterHub, their laptop, etc.) and Otter will take care of generating assignments and tests, creating and managing grading environents, and grading submissions. Otter is platform-agnostic, allowing you to put and grade your assignments anywhere you want.

Otter is organized into six components [...]

[westurner]

• Current thread (2023) "[jupyter-education] REQ,RFC,RFP: How to secure client-side notebook grading in WASM for scale and offline learning" https://groups.google.com/g/jupyter-education/c/ZReN0IgWBzs/m/EIBfLQl0AwAJ