QUANTIFIED EVALUATION OF VIRTUAL LEARNING CREATIVITY IMPROVEMENT BY USING COMPUTER AIDED LEARNING PROCESSES (NEURAL NETWORKS APPROACH)

Mustafa, Hassan M. H.Al-Hamadi, AyoubAl-Shenawy, Nada M.Khedr, Adel A.Hassan, Mohamed M.2019-12-182019-12-182013Cited References in Web of Science Core Collection: 22978-84-616-3847-5https://t.ly/AmN7kAccession Number: WOS:000347240603143This 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.enUniversity of Artificial neural networks; Brain functional modeling; Computer aided learning; learning creativity phenomenonQUANTIFIED EVALUATION OF VIRTUAL LEARNING CREATIVITY IMPROVEMENT BY USING COMPUTER AIDED LEARNING PROCESSES (NEURAL NETWORKS APPROACH)Book chapter