What's Changed

• New Versioning Scheme (starting with 5.0.0) (see README.md)


• Prevent errors because of faulty DB records (#308, #316, #330)


• Drop support for Moodle 4.1


• Support new course overview page in Moodle 5.0+ (see #333)


• Activity information for Moodle 5.1 activity chooser (see #335)


• Performance improvements (see #305)


• Adjust tint monologo icon color (#318)


• Overall maintenance work to improve code quality

Full Changelog: https://github.com/learnweb/moodle-mod_ratingallocate/compare/v4.5-r1...v5.0.0

Contributors

Thanks to all contributors to this release:

• @bluetom (Thomas Niedermaier)


• @dlmsr (Daniel Meißner)


• @aneno-m-e (Noémie Ariste)


• @lucaboesch (Luca Bösch)


• @TamaroWalter (Tamaro Walter)

This release contains the following changes:

• Support for Moodle 4.5


• Bug fix for automatic completion on vote

Full Changelog: https://github.com/learnweb/moodle-mod_ratingallocate/compare/v4.4-r3...v4.5-r1

• add completion tracking


• remove unenrolled students from overview and statistics


• code style fixes

• improve design of ratingallocate front page


• move settings to navigation


• add open and close date for the activity in course overview


• smaller icon


• consistent namespaces


• Fix that students could be allocated to a choice with maximum participants set to zero


• smaller bug fixes and cleanup

• UI update for manual allocation table


• add config option for forcing algorithm by cron job


• move distribution of unallocated users to adhoc task


• add dates to course calendar


• add feature for reset course definition


• bug fixes and cleanup

• UI update for manual allocation table


• add config option for forcing algorithm by cron job


• move distribution of unallocated users to adhoc task


• add dates to course calendar


• add feature for reset course definition


• bug fixes and cleanup

• Possibiliy to distribute users without ratings


• Choices can be restricted to specific groups


• Choices can be imported from csv


• Rating strategy selection is disabled when ratings are present + possibility to delete ratings


• Only consider users with access to the activtiy


• Fix to enable teachers to delete generated groups


• Remove duplicate module title and description

• use HTML editor for choice explanations


• added for Moodle 4.0


• minor bug fixes

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

Changelog

The changes for every release are listed here: https://github.com/learnweb/moodle-mod_ratingallocate/wiki/Changelog.

Stable release v3.9-r1.

Changes:

• Remove uses of deprecated behaviour for PHP 7.4.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions, which are security supported by the moodle headquarter.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions since 2.7.x.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.
Due to conflicts with the new behat 3, versions below 3.1.x can no longer be tested against the behat tests!

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

[]
(https://travis-ci.org/learnweb/moodle-mod_ratingallocate)

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or other first-come-first-served plugins.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters. These are timespan, in which users can give ratings, and the strategy,
which form will be presented to the users to rate.
Next you can add choices, which the users will have to rate later on.
After the rating period has finished, you can allocate the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been allocated to.
For more information please visit the moodle wiki.

Moodle version

The plugin is continously tested with all moodle versions since 2.7.x.
Therefore, Travis uses the most current release to build a test instance and run the behat and unit tests on them.
In addition to all stable branches the version is also tested against the master branch to support early adopters.
Due to conflicts with the new behat 3, versions below 3.1.x can no longer be tested against the behat tests!

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with Moodle 2.7.2+ (20140911) and Moodle 2.8.5+ (Build: 20150319).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with Moodle 2.7.12 (20160111), Moodle 2.8.10 (Build: 20160111) and 2.9.4 (Build: 20160121).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with Moodle 2.7.2+ (20140911) and Moodle 2.8.5+ (Build: 20150319).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

This is an activity plugin and should go into mod/ratingallocate.
Obtain this plugin from https://moodle.org/plugins/view/mod_ratingallocate.

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with Moodle 2.7.9+ (Build: 20150706), Moodle 2.8.7+ (Build: 20150711) and Moodle 2.9.1+ (Build: 20150711).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

this is an activity plugin and should go into mod/ratingallocate

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with moodle 2.7.7+ (Build: 20150313) and 2.8.5+ (Build: 20150313).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

this is an activity plugin and should go into mod/ratingallocate

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with moodle 2.7.7+ (Build: 20150313) and 2.8.5+ (Build: 20150313).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

This plugin is based on previous work by Stefan Koegel and Alexander Bias, University of Ulm.

Installation

this is an activity plugin and should go into mod/ratingallocate

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with moodle 2.7.2+ (20140911).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.

moodle-mod_ratingallocate

Module which lets you add an activity to courses, in which users can rate choices. You may then distribute the users fairly to the choices by maximising overall 'hapiness' in terms of ratings.
This may be an alternative to the choice activity or first-come-first-served.

Installation

this is an activity plugin and should go into mod/ratingallocate

Usage

Add an activity instance. Set mandatory parameters are timespan, in which users can give ratings, choices, which the users will have to rate and the strategy,
which form will be presented to the users to rate.
After the rating period has finished, you can distribute the users automatically or manually. Upon publishing the results, users will be able to see which choice they have been associated with

Moodle version

Tested with moodle 2.7.2+ (20140911).

Algorithm

This module uses a modified Edmonds-karp algorithm to solve the minimum-cost flow problem. Augmenting paths are found using Bellman-Ford, but the user ratings are multiplied with -1 first.

Worst-Case complexity is O(m^2n^2) with m,n being number of edges (#users+#choices+#ratings_users_gave) and nodes (2+#users+#choices) in the graph.
Distributing 500 users to 21 choices takes around 11sec.