On performance evaluation of brain based learning processes using neural networks

This paper addresses an interdisciplinary research work originated from mental stimulation and brain based learning paradigms. More specifically, it adopts conceptual approach for application of Artificial Neural Networks (ANN^s). That´s for design a realistic model integrating brain based learning paradigm with educational phenomenon issues. Referring to recent neurological researchers findings that have revealed in order to promote and encourage maximum learning capacity within learners´ brains. It is vital to enhance learning performance of arbitrary educational process via mental stimulation of brains´ synapses and neurons. In practical educational environment, brain is intimately involved in and connected with, everything instructors and learners do while face to face tutoring sessions. Interestingly, the obtained modeling results support improvement of learning creativity following increase of synaptic connectivity in addition to the neurobiological research work concerned with the other half of the brain (Glial cells).