Abstract
This paper considers quantified Investigation of learning creativity phenomenon as an interesting and challenging educational issue. It introduces a novel interdisciplinary approach integrating educational sciences with brain functional modeling across computer simulation of Artificial Neural Networks (ANNs), that supported by practical educational field (case study) results. In more details, by adopting realistic ANNs simulation and modeling to quantify learning creativity. Optimal selectivity for values of gain factor, learning rate parameters and number of neurons contributing to learning process are relevant in improving observed quantified learning creativity phenomenon. Interestingly, obtained presented results herein seemed to be valuable and promising for future more elaborate and systematic research in learning creativity as well as other educational phenomena.