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Numbas is an open-source system for creating SCORM-compliant exams which run entirely in the browser, developed by Newcastle University's School of Maths and Stats.

  • Can be run on anything that has a web browser.
  • Compatible with IE8+, Firefox 3+, Chrome, Safari, Opera, iPhone, etc.
  • Implemented entirely in client-side javascript - requires no plugins, no installation on client's machine, no communication with servers.
  • Interacts with LMSs such as Blackboard and Moodle through SCORM.
  • Extensive support for questions of a mathematical nature. Answers to questions can be mathematical expressions.
  • Mathematics display is pure LaTeX, using MathJax.
  • Rich content such as videos, interactive graphs easily added.
  • Questions can be fully randomised.
  • Write questions using simple markup with any text editor.
  • Easily extensible.

Installation

These tools (the Numbas compiler) run as standalone Python 3, but the most convenient way to use Numbas is through the web-based editor. A publicly-available version is available at numbas.mathcentre.ac.uk, or you can get everything you need to set up your own installation at https://github.com/numbas/editor.

Documentation

Documentation (mainly focusing on the editor) is at numbas-editor.readthedocs.org.

Copyright

Copyright 2011-14 Newcastle University

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

You can see a plain-English explanation of the license and what it allows at tl;drLegal

Copyright in the content produced using Numbas resides with the author.

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A completely browser-based e-assessment/e-learning system, with an emphasis on mathematics

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  • JavaScript 76.7%
  • HTML 9.4%
  • Python 6.1%
  • XSLT 4.5%
  • CSS 3.3%