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.
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.
nb_templateexists 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.
canvastools- various utilities for interpreting Canvas output filenames, reading Canvas output CSV files.
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
pip install -r test-requirements.txt pytest gradools
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