Micro learning is an eLearning approach based on short informative sessions – which last in general from a few seconds to 15 minutes –on a given topic and with a specific purpose.

eLearning refers to an interactive learning process supported by a connected device that is made via the Internet, an Intranet or another electronic media.

An artificial neuron network is an organized group of interconnected artificial neurons, which conduct sophisticated operations or find a solution for complex problems with the help of a type of learning based on a form of artificial intelligence (AI).

An artificial neuron represents a basic unit of treatment of an artificial neural network —inspired by the biological neural network. This neuron converts the information-carrying signals it receives into a signal that it sends to other units in the network or to the output.

Reinforcement learning allows the computer to learn what to do from repeated experiences where it must find the best solution. In other words, he learns by trial and error, receiving or not a digital reward after each action.

Unsupervised learning allows the computer to create rules by trying to partition and classify by itself - without labeled examples or reinforcement signals - data in homogeneous categories.

Supervised learning is one of the three types of learning implemented by artificial neural networks, the other two being unsupervised learning and reinforcement learning.

Machine learning is a process by which a computer or software improves, without human intervention, its mode of operation by acquiring new knowledge and skills from the results it has obtained during previous actions.

Cognitive sciences gather disciplines that aim to describe and explain the mechanism of human, animal and artificial thought, and every complex system of information processing able to acquire, retain, use and transmit knowledge.

An interdisciplinary field of research combining educational sciences and neurosciences, neuroeducation aims to identify teaching approaches that are most compatible with the functioning of the brain.