Brain Function Assessment in Learning First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings

• Main Authors: Frasson, Claude, Kostopoulos, George
• Format: eBook Conference Proceeding
• Language: English
• Published: Cham Springer Nature 2017; Springer International Publishing AG; Springer International Publishing
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Artificial Intelligence; Computer Appl. in Social and Behavioral Sciences; Computer Science; Computers and Education; Image Processing and Computer Vision; Special computer methods; User interfaces (Computer systems); User Interfaces and Human Computer Interaction

This book constitutes the thoroughly refereed proceedings of the First International Conference on Brain Function Assessment in Learning, BFAL 2017, held in Patras, Greece, in September 2017.The 16 revised full papers presented together with 2 invited talks and 6 posters were carefully selected from...

Table of Contents:

• 8 Examples of analysis of learning by observing human-web interactions -- 9 Conclusion -- References -- 4 Online Brain Training Programs for Healthy Older Individuals -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- 5 Evaluating Active Learning Methods for Bankruptcy Prediction -- 1 Introduction -- 2 Literature Review -- 3 Active Learning -- 4 Study Questions and Dataset Description -- 5 Experimental Setup and Results -- 6 Conclusions -- References -- 6 A Prognosis of Junior High School Students' Performance Based on Active Learning Methods -- 1 Introduction -- 2 A Recent Review of Data Mining Applications in Education -- 3 Active Learning -- 4 Dataset Description -- 5 Experiments -- 6 Conclusions -- References -- 7 The effects of working memory training on cognitive flexibility in man -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Neuropsychological Assessment -- 2.3 Personality Assessment -- 2.4 Procedure -- 2.5 Statistical Analyses -- 3 Results -- 3.1 Demographic Data -- 3.2 Differences between the three groups in the ID/EDS test -- 4 Discussion -- 5 Conclusions -- References -- 8 Computers Cannot Learn the Way Humans Do - Partly, because they Do Not Sleep -- 1 Computers are not brains -- 2 Why do we want machines capable of learning -- 3 How we learn - from synaptic reorganization to changes in behavior -- 4. Sleep has a fundamental role in human learning -- 5. Creating learning machines in brain's image and likeness? -- 6. Conclusions -- 7. References -- 9 Modeling animal brains with evolutive cognitive schemas -- 1 Introduction -- 2 Material and methods -- 2.1 A case of classical conditioning -- 2.2 A simple case of operant conditioning -- 3 Results -- 3.1 Learning a simple analogical inference schema -- 3.2 Learning an analogical inference schema implementing transitive relations
• 4 Discussion -- References -- 10 Neural Knowledge Tracing -- 1 Introduction -- 2 Models -- 2.1 Knowledge to Prediction (K2P) Component -- 3 Experiment Results -- 3.1 Dataset -- 3.2 Results -- 4 Conclusion and Discussion -- References -- 11 Game Experience and Brain based Assessment of Motivational Goal Orientations in Video Games -- 1 Introduction -- 2 Background in motivation and video games -- 2.1 Motivation and motives -- 2.2 Motivation theories -- 2.3 Motivation and video games -- 3 Experimental settings -- 3.1 Participants -- 3.2 The game - Outlast -- 3.3 Experiment and equipment -- 3.4 Measures -- 4 Method -- 4.1 The FAA computation -- 4.2 Player mastery goal assessment -- 4.3 OCC game scene representation -- 4.4 The Motivation Prediction -- 5 Results -- 6 Conclusion -- References -- 12 Real-time Brain Assessment for Adaptive Virtual Reality Game : a Neurofeedback Approach -- 1 Introduction -- 2 Related Work -- 2.1 Virtual Reality -- 2.2 Brain Assessment and Adaptation -- 2.3 Neurofeedback -- 3 Measuring Module -- 3.1 Architecture of the Measuring Module -- 4 Neural Agent -- 4.1 Architecture of the Neural Agent -- 5 AmbuRun : A VR Game with Real-time Modification -- 6 Experiment -- 7 Results and Discussions -- 8 Conclusion -- References -- 13 Event-Related Brain Potentials from Pictures Relevant to Disaster Education -- 1 Introduction -- 1.1 Visual Processing -- 1.2 Disaster Education -- 1.3 ICT and Disaster Education -- 1.4 Research Objectives -- 2 Method -- 2.1 Participants -- 2.2 Stimuli -- 2.3 Procedure -- 2.4 Data Collection and Analysis -- 3 Results -- 4 Discussion -- 4.1 P300 and N200 Components on Categorization Tasks -- 4.2 Public Awareness through Education for Disaster Risk Reduction - Implications for the Future -- References -- 14 Real-time Spindles Detection for Acoustic Neurofeedback -- 1 Introduction
• 2 Spindle Detector with Adaptive Thresholding -- 3 Neurofeedback System Architecture -- 4 Prototype Setup and Experimental Results -- 5 Validation -- 6 Conclusions -- References -- 15 Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learning Search Algorithms -- 1 Introduction -- 2 The 3D Virtual World Environment for Teaching Search Algorithms -- 2.1 Learning activities in the virtual world educational environment -- 2.2 Feedback in the Virtual Reality Educational Environment -- 3 Experimental Study -- 3.1 Method -- 3.2 Results -- 4 Conclusions -- References -- 16 Virtual Sophrologist: A Virtual Reality Neurofeedback Relaxation Training System -- 1 Introduction -- 2 Related Work -- 2.1 Autogenic Training and Sophrology -- 2.2 Virtual Reality -- 2.3 EEG and Neurofeedback -- 3 Experiment -- 3.1 Virtual Sophrologist System -- 3.2 Devices and Software -- 3.3 Subject Criteria and Protocol -- 3.4 Evaluation -- 4 Results and Discussion -- 4.1 Time Interval to Relaxation -- 4.2 HADS Scores -- References -- 17 Different Frequency-Dependent Properties between Dorsal and Ventral Hippocampal Synapses -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- References -- 18 Using Electroencephalograms to Interpret and Monitor the Emotions -- 1 Introduction -- 2 Emotional Evolutions -- 3 Experiment -- 3.1 Subjects -- 3.2 Experimental Procedure -- 4 Results -- 4.1 Typical Effect of the Emotional Factor -- 4.2 Formula Comparing -- 4.3 General Emotions -- 5 Conclusion Future work -- References -- The Long Lasting Effect of Neonatal Handling on mGluR5 and Arc mRNA Levels in Medial Prefrontal Cortex of rat Brain -- References -- Escalating Low-does 9-THC Treatment in Adolescence Induces Spatial Memory Deficits in Adulthood -- References -- Performance Comparisons of Classifiers Applied to Electroencephalogram Signals
• Intro -- Preface -- Organization -- Intelligent Control and Cognitive Control: Issues and Challenges -- Contents -- 1 Affective Learning: Principles, Technologies, Practice -- 1 Introduction -- 2 Affective Learning: Technological Perspectives -- 2.1 Affective Sensors and Learning Services -- 2.2 Affective Ontologies, Metrics and Analytics -- 2.3 Empowering clinical decision with MOOCs and Scenario-Based Learning -- 3 Case Studies -- 3.1 Affective Neuroscience -- 3.2 Affective Measurements upon Medical Student Clinical Skills Training -- 3.3 Affective approaches to evaluate educational tools against bullying -- 3.4 Affective approaches to evaluate MOOC content -- 4 Towards Affective Measurements during Training Against Medical Errors -- 5 Towards Emotionally Augmented Learning Minds -- References -- 2 Understanding how learning takes place with neuroscience and applying the results to education -- 1 Introduction -- 2 Core psychology related to learning and education -- 3 Recent developments related to learning and education -- 4 A wider and more neuroscientific definition of basic concepts -- 4.1 Neuroscientific concepts -- 4.2 A wider definition and use for key concepts of developmental psychology -- 4.3 Education from an evolutionary perspective -- 5 Practical considerations for Education evaluation -- References -- 3 Tracing and Enhancing Serendipitous Learning with ViewpointS -- 1 Introduction -- 2 Serendipitous learning -- 3 The interest of subjective proximity in human cognition -- 4 Proximity in ViewpointS: Agents, Documents and Concepts -- 5 Web Science: studying societies of Humans by tracing their behavior on the Web -- 6 The availability of new ways to measure brain mental states and their relations to learning -- 7 Exploiting the mental states of the internauts when analyzing the serendipitous knowledge acquisition processes
• 1 Introduction -- References -- Quadcopter Control Based on Electroencephalogram Headset and Hybrid Fuzzy Classifier -- 1 Introduction -- References -- Support Vector Machine Approaches with Features Selection to Detect Cognitive States from Brain Images -- 1 Introduction -- References -- Support Vector Machine Optimized by Artificial Bee Colony Applied to EEG Pattern Recognition -- 1 Introduction -- References -- Author Index