Umind Rethinking AI
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About Umind > Research
Francais
Management Team
Intelligent Technologies
Research
Learning tools of tomorrow

Two decades of research in the fields of Artificial Intelligence, Cognitive Science, Education, Knowledge Engineering, e-Learning, and Neural Techniques has allowed us to develop proven learning methodologies and innovative technologies designed to facilitate learning and retention.

Our research on the brain enabled us to better understand the way people learn and reason.
Our laboratory experiments have allowed us to identify the best methods that maximize knowledge acquisition.
Collaboration with other research labs has given us access to a wealth of knowledge in the space of online learning and learning technologies.
Advanced Learning Methodologies

Powerful learning technologies are only part of the equation. What they deploy is as vital as how, and that’s where our expertise comes into play. In the last decade, we’ve analyzed over 50 learning methodologies and have over 60 publications to prove it.

Having identified the most pertinent methods for WEB-delivery, we can build or teach you how to build relevant, engaging content that works. Using a context-based approach, our course development methodology takes into account a number of key parameters to ensure the most effective training through true content and pedagogical customization.
Umind - Simulation Based Training

 

 

For sales related inquiries:

sales@umindsoft.com
USA - 1.866.618.6463 Ext.225
CAN - 1.514.393.0880 Ext.225
 
Patented A.I. Technologies

Our proprietary platforms are based on Intelligent Tutoring Systems (ITS) which combines e-Learning and Artificial Intelligence, a branch of science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer-friendly way.

A fundamental tenet of this design is that one size does not fit all as the learning process varies considerably from student to student. Hence, an ITS will behave like a real teacher would, identifying the learner’s strengths and weaknesses and deploying a teaching approach best fitted to his learning profile and personality.
 
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