Github page, blackboard.com
An analysis automation tool to avoid repetitive task while grading student assignments that have been handed in through the Blackboard learning system.
* Extract hundreds of .zip files
* Sort the files per assignment, student
* Create statistics: number of students, late assignments,…
- Download the source and run
python setup.py install.
- Python Package available in the Python Package Index at: http://pypi.python.org/pypi/blackboard_analysis_tools/.
- Install using pip:
pip install blackboard_analysis_tools.
- 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, …).
What is 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 those with 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,…