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Titlebook: Brain Function Assessment in Learning; First International Claude Frasson,George Kostopoulos Conference proceedings 2017 Springer Internat

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楼主: HABIT
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Event-Related Brain Potentials from Pictures Relevant to Disaster Education,P300) and an early posterior negativity (N200) were studied since they are the most prominent components for categorization tasks. Our results suggested that participants distinguished the useful items in a series of non-useful stimuli based on their semantic content. These preliminary results indic
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Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learninndicate that visual types of feedback can have a substantial impact on students’ learning, assisting them in better understanding the functionality of the process studied with respect to performance and mistakes.
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Using Electroencephalograms to Interpret and Monitor the Emotions,motional evolutions show all the picks of positive and negative feelings, moreover, analyzing the EEG data will allow recognizing the general emotions, which are the strongest routine senses of the participant. Comparing the unexpected reaction, the time taken by general emotion and feelings in pick
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Understanding How Learning Takes Place with Neuroscience and Applying the Results to Education, reliance on agriculture and more recently industry. Psychology appeared as a scientific discipline at a time that formal education for all was becoming accepted. From the very beginning psychology and education had a major influence on each other. Education is notoriously slow to change. As the ide
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Tracing and Enhancing Serendipitous Learning with ViewpointS,models of learning of individual as well as collective humans. The recent approach – called ViewpointS – aiming to unify the Semantic and the Social Web, data mining included, by means of a simple “subjective” primitive – the . - denoting proximity among elements of the world, seems to offer a promi
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Online Brain Training Programs for Healthy Older Individuals,der people require special care. Therefore there is constant effort to maintain these older people active as long as possible. This might be done not only by pharmacological therapies, but especially by non-pharmacological approaches, among which brain training with the help of a computer seems a go
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Evaluating Active Learning Methods for Bankruptcy Prediction,unting literature. Over recent years, several machine learning methods have been effectively applied to build accurate predictive models for detecting business failure with remarkable results, such as neural networks (NNs) and ensemble methods. This paper investigates the effectiveness of the active
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