gradools
Project description
Grading tools
Some tools I use when grading Canvas assignments.
There are command line tools, and some utilities for working with Canvas outputs.
The main use is when doing by-hand grading of assignments with multiple components, and you want to keep track of the scores per component, with notes from grading.
To do this, I make a Markdown marking log file, with specifications at the top, then one second-level heading per student, like this:
# 2018 Marking log for assessment Foo
Ordinary maxima:
* quality: 20
* does_task: 15
* skill_range: 10
* elegance: 10
* functions_variables: 10
* display: 10
* usable: 15
* comments_safety: 10
Total: 100
## mbr110
* quality: 14.0
* does_task: 11.0
* skill_range: 7.0
* elegance: 6.0
* functions_variables: 7.0
* display: 8.0
* usable: 10.0
* comments_safety: 8.0
Total: 71
Martin Brett
You did a good job generally. Etc. More comments on specifics.
## vrr101
* quality: 5.0
* does_task: 6.0
* skill_range: 3.0
* elegance: 2.0
* functions_variables: 3.0
* display: 4.0
* usable: 5.0
* comments_safety: 3.0
Total: 55.0
Valia Rodriguez Rodriguez
You did not do a very good job, generally. Etc.
Command line tools
Commands need a file gdconfig.toml
in the current directory.
Example:
log = "markingb_log.md"
year = "2018"
assignment = "Data Analysis Due (000000)"
[fudges]
2018 = 10
- gdo-check : analyzes a marking log in Markdown, with headings per student, and sub-totals for component. Checks sub-totals match specification at top of file, checks and prints totals per student.
- gdo-year : prints "year" field value from config file (above).
- gdo-mkstable : makes template CSV file to upload to Canvas, using exported CSV file from Canvas as input.
- gdo-stinit : makes section in marking log for student with specified login.
If field
nb_template
exists in config file, make matching notebook for student. - gdo-mkfb : splits marking log into one file per student, builds PDFs for each student.
- gdo-report : write marks CSV from report.
Utilities
canvastools
- various utilities for interpreting Canvas output filenames, reading Canvas output CSV files.
Installation, development
Install from pip, usually:
pip install gradools
To install locally from the repository, you will need flit.
flit install --user
For development I use:
flit install --user -s
Test with:
pip install -r test-requirements.txt
pytest gradools
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file gradools-0.1a2.tar.gz
.
File metadata
- Download URL: gradools-0.1a2.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.31.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4213d503f2b8b6ce9cd6fa3545e8e6ab1bb69981c792eb4315f5aed3cd02f4b7 |
|
MD5 | e562dcdf6416ad7f3090b639e9ad5e82 |
|
BLAKE2b-256 | 11ff24edf389aabffce80b417c89c1e6cb8286ff28cde58b9ed84b1e9eb104a8 |
File details
Details for the file gradools-0.1a2-py3-none-any.whl
.
File metadata
- Download URL: gradools-0.1a2-py3-none-any.whl
- Upload date:
- Size: 15.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.31.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4f9723da42025943495727868b61163f8a27fd5a7c760a108cf0fc103a8f9b1d |
|
MD5 | 04aa6f68cfa77f9326615f91278ac00b |
|
BLAKE2b-256 | 0b75abca0b5147f948d2acb1fe26b0ac5f4e534ba80ef77cba8d1eeddd45b1fb |