A number of models, methodologies and conceptual frameworks have been proposed on how to design digital educational games aiming at better learning outcomes, while offering a fun experience. Our study combines two different methods, namely Delphi study and electroencephalograms (EEG), in order to provide an integrated digital educational game…

The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…