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README.md

This repository contains the Open edX platform release "hotfix-2014-11-17" with ANALYSE module.

Overview of ANALYSE

ANALYSE is learning analytics tool developed for Open edX. This is a beta release which extends the learning analytics functionality of Open edX with 12 new visualizations. A new tab has been addded in the course dashboard to access ANALYSE. Some of the features are the next:

  • The learning analytics dashboard has 3 visualizations related to exercises, 4 related to videos and 5 related to general course activity
  • The instructors of a course can access the information about the aggregate of all students in a course an also each student individually. That allows instructor to keep track about how the course is progressing and control each student separately
  • The students in a course can access their own information only which can be used for self-awareness and reflect on their learning process
  • The different indicators are processed in background in regular intervals of time as schedule jobs by the use of Celery Beat

Installation

For the installation of ANALYSE you can either:

  • Use this full repository of Open edX which has the both the "hotfix-2014-11-17" release and ANALYSE module
  • Take ANALYSE code and insert it in a different Open edX release. Although we cannot guarantee that there will be no problems.

The functionality of ANALYSE has been added as a new django application. The different files and folders added for ANALYSE are the next:

  • /lms/djangoapps/learning_analytics/*
  • /lms/static/js/learning_analytics/*
  • /lms/static/sass/course/learning_analytics/_learning_analytics.scss
  • /lms/templates/learning_analytics/*
  • /lms/envs/devstack_analytics.py
The files from Open edX that has been modified to introduce ANALYSE:
  • /common/lib/xmodule/xmodule/tabs.py
  • /lms/static/sass/course.scss.mako
  • /lms/urls.py
  • Celery Beat needs to be activated and configured so that it run the task which updates the indicators in background.

    License

    The code in this repository is licensed under version 3 of the AGPL unless otherwise noted. Please see the LICENSE file for details with. The next additional term should be also taken into account:

    • Required to preserve the author attributions on the new added work for the development of ANALYSE

    Getting Help

    If you're having trouble with the installation or how to use ANALYSE feel free to contact and we will do our best to help you out.

    Contributions are welcomed

    If you are interested in contributing to the development of ANALYSE we will be happy to help. For bug solving changes feel free to send a pull request. In case you would like to make a major change or to develop new functionality, please contact before starting your development, so that we can find the best way to make it work.

    Developed by

    ANALYSE has been developed in the Gradient lab, which is the e-learning laboratory inside the GAST group, as a part of the Department of Telematic Engineering, at the University Carlos III of Madrid (Spain). The main people involved in the design and implementation of this tool have been the following:

    • José Antonio Ruipérez Valiente - IMDEA Networks Institute and Universidad Carlos III de Madrid- jruipere@it.uc3m.es
    • Pedro Jose Muñoz Merino - Universidad Carlos III de Madrid - pedmume@it.uc3m.es
    • Héctor Javier Pijeira Díaz - Universidad Carlos III de Madrid (by implementing his Final Year Project)
    • Javier Santofimia Ruiz - Universidad Carlos III de Madrid (by implementing his Final Year Project)
    • Carlos Delgado Kloos - Universidad Carlos III de Madrid
    Acknowledgements. This work has been supported by:
    • The "eMadrid" project (Regional Government of Madrid) under grant S2013/ICE-2715
    • The RESET project (Ministry of Economy and Competiveness) under grant TIN2014-53199-C3-1-R
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