Mental workload assessment of the operators in some safety-critical human-machine
systems is an important research topic. In this paper, an experiment was designed to obtain …

Abstract Machine learning (ML) is widely used in classification tasks aimed at detecting
various cognitive states or neurological diseases using noninvasive electroencephalogram …

Given the significance that technology-enhanced learning (TEL) receives in learning
analytics, this study presents a neural deep learning architecture aimed to enhance a smart …

Featured Application This study can be further extended to determine the ability of artificial
intelligence to classify professional skills and success in cognitive task solutions according …

Abstract Modified Electric Convulsive Therapy (MECT) is an efficacious physical therapy in
treating mental disorders. The occurrence of epilepsy is a crucial benchmark for evaluating …

Resting-state EEG (rsEEG) can reflect error-related activity formed during and after solving a
cognitive task. We analyzed EEG data of 19 healthy volunteers who solved mental tasks …

Mathematical skills are given close attention in many studies of the neurophysiological
foundations of mathematical thinking. The study aimed to search for electrophysiological …

INTRODUCTION Technology-enhanced learning has received a lot of attention through the
creation of smart environments to improve learning, enhancing student perception of reality …

Aprendizaje servicio y tecnología educativa a través de diferentes productos didácticos de
aprendizaje Page 91 ‒91‒ CAPÍTULO 5 APRENDIZAJE SERVICIO Y TECNOLOGÍA …

Математические компетенции в большей или меньшей степени присущи всем людям, и
из-за абстрактности математических знаний высокий уровень их развития часто …