Blackboard analysis tools
Project description
An analysis automation tool to avoid repetitive task while grading student assignments that have been handed in using the Blackboard learning system.
Usage:
Download assignment files from Blackboard (e.g. gradebook_ART_EA-38302_Assignment1_2013-06-11-20-50-44.zip).
Place these .zip files in the “input” folder.
Run the program: python -m blackboard_analysis_tools.
Wait… (about 10 seconds when processing around 100MB of assignments) (time will vary).
Open the “output” folder to see the results (all files sorted per student, a summary, logfile, …).
Installation:
Download the source and run python setup.py install.
Python Package available in the Python Package Index at: (coming soon).
Install using pip: pip install blackboard_analysis_tools.
Limitations:
Currently only tested on Linux.
The program was created with other OS users in mind, so it will eventually get full cross-platform support.
License:
If not stated otherwise blackboard_analysis_tools is distributed in terms of the GPLv2 software license. See COPYING in the distribution for details.
Bug reports:
Jeroen Doggen <jeroendoggen@gmail.com>
Post issues to GitHub http://github.com/jeroendoggen/blackboard-analysis-tools/issues.
What’s happening behind the scenes:
Scan for .zip files
Extract the .zip files
Scan for .txt files (these contain the metadata that describes the student reports/assignments)
Analyse the .txt files
Create a folder for each student
Move all the files to the correct folder (including the filenames that have been ‘mangled’ by Blackboard)
Write some statistics: a list of all students that have handed something in
Write a summary of the process: number of students, number of assignments, number of ‘mangled’ files,…
Changelog:
- 0.0.2:
Detect ‘mangled’ files
Statistics: logfile, summary, student list
using input & output folders
Code cleanup: pep8, pylint
- 0.0.1: Basic features
Extract .zip files
Create student folders
Move files to folder
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