+++ /dev/null
-I don't expect that these will necessary work without
-modification. It's a good idea to go line-by-line through these to
-make sure they are doing what *you* want and that you agree with the
-assessment logic built into this.
-
-Daily Process
-======================================
-
-After class, you will have two new files created that will be named
-like this (with today's date):
-
- attendance-2020-10-05.tsv
- call_list-2020-10-05.tsv
-
-Each day, you need to open up "call_list-YYYY-MM-DD.tsv" and edit the
-final two columns. The first columns `answered` means that the person
-responded and answered the question (i.e., they were present in the
-room but away from their computer and unresponsive). This is almost
-always TRUE but would be FALSE if the student were missing.
-
-The final column `assessment` is GOOD, FAIR, or BAD in my rubric. I've
-detailed what that means on this page:
-
-https://wiki.communitydata.science/User:Benjamin_Mako_Hill/Assessment#Rubric_for_case_discussion_answers
-
-I take notes on student answers on paper during class (typically I
-only note down non "GOOD" answers) and then add these to the sheet
-immediately after class.
-
-I keep my entire data directory in git and I'd recommend that you do
-too.
-
-Other Notes
-======================================
-
-1.
-
-These scripts rely on a file in this repository called
-`data/student_information.csv` which I have set to be downloaded
-automatically from a Google form using a 1-line wget command.
-
-For reference, that file has the following column labels (this is the
-full header, in order):
-
- Timestamp
- Your UW student number
- Name you'd like to go by in class
- Your Wikipedia username
- Your username on the class Discord server
- Preferred pronouns
- Anything else you'd like me to know?
-
-2.
-
-The scripts in this directory are meant to be run or sourced *from*
-the data directory. As in:
-
- $ cd ../data
- $ R --no-save < ../assessment_and_tracking/track_participation.R
-
-3.
-
-There are three files here:
-
-track_enrolled.R:
-
- This file keeps track of who is in Discord, who is enrolled for
- the class, etc. This helps me remove people from the
- student_informaiton.csv spreadsheet who are have dropped the
- class, deal with users who change their Discord name, and other
- things that the scripts can't deal with automatically.
-
- This all need to be dealt with manually, one way or
- another. Sometimes by modifying the script, sometimes by modifying
- the files in the data/ directory.
-
- This requires an additional file called
- `myuw-COM_482_A_autumn_2020_students.csv` which is just the saved
- CSV from https://my.uw.edu which includes the full class list. I
- download this one manually.
-
-track_participation.R:
-
- This file generates histograms and other basic information about
- the distribution of participation and absences. I've typically run
- this weekly after a few weeks of the class and share these images
- with students at least once or twice in the quarter.
-
- This file is also sourced by compute_final_case_grades.R.
-
-compute_final_case_grades.R:
-
- You can find a narrative summary of my assessment process here:
-
- https://wiki.communitydata.science/User:Benjamin_Mako_Hill/Assessment#Overall_case_discussion_grade
-
- This also requires the registration file (something like
- `myuw-COM_482_A_autumn_2020_students.csv`) which is described
- above.
-
-4.
-
-A bunch of things in these scripts assumes a UW 4.0 grade scale. I
-don't think it should be hard to map these onto some other scale, but
-that's an exercise I'll leave up to those that want to do this.
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