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Team Formation

Introduction

Script for forming team in Canvas. The two scripts provided, fetch_data.py and form_teams.py, are used to aid in the creation of Canvas groups based on a set of criteria. Currently only random group assignment is available.

Prerequisites

Install pip libraries

pip install -r requirements.txt

Fetch Data Script

The fetch data script (fetch_data.py) is useful for test fetching information from Canvas/other sources and viewing the collected data (used by the Form Teams Script). It was developed as a separate script to provide an opportunity to evaluate the data available independently of group formation and be easily expanded upon in the future (easier to testing fetch data from different sources, etc).

Basic usage

python fetch_data.py

Options

--url: set the base url of the Canvas installation (default: https://canvas.ubc.ca)

--token: set the Canvas api token. Exact permissions required for the user/token to be determined

--course_id: set the Canvas course id to fetch the data for (Optional). If not specified, will be prompted to select from a list all courses the user token has access to.

--store_data: set if data fetched should be stored locally (default: False). Useful for exploring available data for developing a group formation strategies but should not be used for general use (since it can store sensitive information).

Form Teams Script

The form team script (form_teams.py) will use the fetch data script to collect data from Canvas/other sources and then form teams based on input such as: team formation strategy, desired team size, and desired number of teams. Use the --test_run flag to test the team formation script without pushing teams back to Canvas. Currently one of --team_size or --total_teams must be provided to scope the desired number of groups or size of groups.

Basic usage

python form_teams.py --team_size=NUMBER_OF_STUDENTS_PER_TEAM

or

python form_teams.py --total_teams=TOTAL_NUMBER_OF_TEAMS

Options

--url: set the base url of the Canvas installation (default: https://canvas.ubc.ca)

--token: set the Canvas api token. Exact permissions required for the user/token to be determined

--course_id: set the Canvas course id to fetch the data for (Optional). If not specified, will be prompted to select from a list all courses the user token has access to.

--group_category_name: Set the Canvas Group Category name (Optional). If not specified, will be prompted to enter one. If Canvas Group Category name already in use, will be prompted to overwrite the current groups (all old groups will be erased from Group Category).

--strategy: set the team formation grouping strategy (default: random). Currently only random is supported.

--group_all_sections: Will group students together across all sections that the token has access to within the course if present. When present, all students in the course will be grouped together to meet the team_size and total_teams requirements. When not present, students of each section will be grouped together to meet the team_size and total_teams requirements independently.

--total_teams=###: Total number of teams that will be generated.

--team_size=###: Total number of students to assign to each team.

--store_data: set if data fetched and teams produce should be stored locally (default: False). Useful for exploring available data and the resulting teams for developing a group formation strategies but should not be used for general use (since it can store sensitive information).

--test_run: Will not push Canvas Group Category or groupings back to canvas when flag is present. Useful for testing the group formation script out without

Viewing Data Stored

Each run of either fetch_data.py or form_teams.py with the --store_data flag will create csv files of for all data pulled from canvas in the .data/dump/%Y-%m-%d %H:%M:%S folder (ex: .data/dump/2018-02-27 14:15:29.

The form_teams.py script will additionally add an .data/dump/%Y-%m-%d %H:%M:%S/output folder containing files for each group's students generated.

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Script for forming team in Canvas.

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