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In conjunction with experiments concerning using an LTI interface to realize a dynamic quiz, I built a version of Canvas that could run in a Virtual Machine (specifically an image that could be run by VirtualBox).
Advantages of this approach include:
The image was built using an ubuntu version of linux by following the Quick Start instructions at https://github.com/instructure/canvas-lms/wiki/Quick-Start.
Details of the operation of the different containers that comprise this system will be described in a forthcoming Bachelor's thesis.
I should note that when I do the docker-compose to bring up the Canvas instance, it takes a very long time.
In order to do some experiments with the dynamic quiz, I created some fake users and enrolled them in a course. Additionally, since one of the things that I would like the dynamic quiz to exploit is knowledge of what program of study these users are in I augments the user's custom data with details of what program they are in.
The initial version of the program (create-fake-users-in-course.py) can be found at https://github.com/gqmaguirejr/Canvas-tools .
The result is a course with a set of fake users as can be seen in the list of user's in this course:
An example of fake program data is:
custom data for user Ann FakeStudent is {'data': {'programs': [{'code': 'CINTE', 'name': 'Degree Programme in Information and Communication Technology', 'start': 2016}]}}
Some further details about the above can be found at Creating fake users and enrolling them into a course: Chip sandbox
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I was the professor for Computer Communications at KTH Royal Institute of Technology in Stockholm, Sweden during the period 1994-2023. As of 2023-04-01, I am now professor emeritus.
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