The ORA will take a submission from an xqueue installation, pass it through machine learning grading, peer grading, and staff grading as appropriate, and return a result to LMS. This is to be used with the edx-platform and xqueue. It allows for the assessment of open response problems on the edx platform.
This repository has been archived and is no longer supported—use it at your own risk. This repository may depend on out-of-date libraries with security issues, and security updates will not be provided. Pull requests against this repository will also not be merged.
The edX team has officially transitioned all support for the Open Response Assessor (ORA) project to its second iteration (ORA2).
To get started using ORA2, update to the latest version of the edX platform. To learn how to author new ORA2 problems, see the latest course authoring documentation.
http://www.github.com/edx/edx-ora2
Each type of grader is a separate django application, with the controller having common logic, such as submission and returning the result to the LMS.
After installation, tests can be run by running sh run_tests.sh .
You can find full documentation in the docs directory, and build it using make html, or see here for built documentation.
The code in this repository is licensed under version 3 of the AGPL unless otherwise noted.
Please see LICENSE.txt for details.
Contributions are very welcome. The easiest way is to fork this repo, and then make a pull request from your fork. The first time you make a pull request, you may be asked to sign a Contributor Agreement.
Please do not report security issues in public. Please email [email protected]
You can discuss this code on the edx-code Google Group or in the
edx-code IRC channel on Freenode.