EEG-based Effective Connectivity Analysis with Graph Theory Approach for Cognitive Load Assessment of Multimedia Learning in Adults

This dissertation presents the cognitive load assessment of multimedia learning content using Electroencephalography (EEG) based effective connectivity approach with graph theory network analysis. Cognitive load assessment during multimedia learning has a key role in understanding the complexity of multimedia-based learning tasks. The widely-used methods for assessing the cognitive load in EEG are the traditional feature extraction techniques such as power spectral density and entropies.