Brain Function Assessment in Learning, 1st ed. 2017 First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Frasson Claude, Kostopoulos George
Affective Learning: Principles, Technologies, Practice.- Understanding How Learning Takes Place with Neuroscience and Applying the Results to Education.- Intelligent Control and Cognitive Control: Issues and Challenges.- Tracing and Enhancing Serendipitous Learning with Viewpoints.- Online Brain Training Programs for Healthy Older Individuals.- Evaluating Active Learning Methods for Bankruptcy Prediction.- A Prognosis of Junior High School Students' Performance Based on Active Learning Methods.- The Effects of Working Memory Training on Cognitive Flexibility in Man.- Computers Cannot Learn the Way Humans Do -- Partly, Because They Do Not Sleep.- Modeling Animal Brains with Evolutive Cognitive Schemas.- Neural Knowledge Tracing.- Game Experience and Brain Based Assessment of Motivational Goal Orientations in Video Games.- Real-time Brain Assessment for Adaptive Virtual Reality Game: A Neurofeedback Approach.- Event-Related Brain Potentials from Pictures Relevant to Science Education.- Real-time Spindles Detection for Acoustic Neurofeedback.- Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learning Search Algorithms.- Virtual Sophrologist: A Virtual Reality Neurofeedback Relaxation Training System.- Different Frequency-Dependent Properties Between Dorsal and Ventral Hippocampal Synapses.- Using Electroencephalograms to Interpret and Monitor the Emotions.- The Long Lasting Effect of Neonatal Handling on mGluR5 and Arc mRNA Levels in Medial Prefrontal Cortex of Rat Brain.- Escalating Low-dose Treatment in Adolescence Induces Spatial Memory Deficits in Adulthood.- Performance Comparisons of Classifiers Applied to Electroencephalogram Signals.- Quadcopter Control Based on Electroencephalogram Headset and Hybrid Fuzzy Classifier.- Support Vector Machine Approaches with Features Selection to Detect Cognitive States from Brain Images.- Support Vector Machine Optimized by Artificial Bee Colony Applied to EEG Pattern Recognition.
Includes supplementary material: sn.pub/extras
Date de parution : 09-2017
Ouvrage de 215 p.
15.5x23.5 cm
Mots-clés :
Affective Learning; Artificial Intelligence; Brain Assessment; Brain Computer Interface; Cognitive Control; Education; Electroencephalograms; Emotions Monitoring; Human Computer Interaction; Learning Methods; Machine Learning; Neural Knowledge; Serendipitous Learning; Support Vector Machine; Virtual Reality