WSEAS Transactions on Advances in Engineering Education
Print ISSN: 1790-1979, E-ISSN: 2224-3410
Volume 16, 2019
Study of Neurophysiological Metrics-Indexes, in order to Predict Learning Difficulties
Authors: , ,
Abstract: In this paper we describe a study about predictability of brain reactions during educational procedures. More specifically we research neurophysiological indexes, that are able to describe the scalable difficulty of educational procedures. Using electroencephalographic (EEG) signals we extracted a big amount of feature vectors based on entropies and using proper algorithms and data mining methods we found out good practices in order to predict and describe more efficiently the differentiations of brain reaction in various math problems with scalable difficulty. We use this indexes in order to identify and to predict difficulties in educational procedures. Entropies are indexes that reflects fluctuations in brain activity which is imprinted in brain map. Furthermore we use classification methods in order to find a proper mathematical model to predict learning difficulties.
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Pages: 102-107
WSEAS Transactions on Advances in Engineering Education, ISSN / E-ISSN: 1790-1979 / 2224-3410, Volume 16, 2019, Art. #12