Brain Function Assessment in Learning

First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings

  • Claude Frasson
  • George Kostopoulos
Conference proceedings BFAL 2017
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10512)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Stefano A. Cerri, Philippe Lemoisson
    Pages 36-47
  3. Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas
    Pages 57-66
  4. Georgios Kostopoulos, Sotiris Kotsiantis, Vassilios S. Verykios
    Pages 67-76
  5. Vasiliky Stavroulaki, Eleni Kazantzaki, Panagiotis Bitsios, Kyriaki Sidiropoulou, Stella G. Giakoumaki
    Pages 77-87
  6. Long Sha, Pengyu Hong
    Pages 108-117
  7. Mohamed S. Benlamine, René Dombouya, Aude Dufresne, Claude Frasson
    Pages 118-132
  8. Angeliki Tsiara, Tassos A. Mikropoulos, Dimitris Mavridis, Julien Mercier
    Pages 144-158
  9. Stella Zotou, George K. Kostopoulos, Theodore A. Antonakopoulos
    Pages 159-168
  10. Foteini Grivokostopoulou, Isidoros Perikos, Ioannis Hatzilygeroudis
    Pages 169-175
  11. Amin Shahab, Claude Frasson
    Pages 192-202
  12. Back Matter
    Pages 203-215

About these proceedings

Introduction

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 28 submissions. The BFAL conference aims to regroup research in multidisciplinary domains such as neuroscience, health, computer science, artificial intelligence, human-computer interaction, education and social interaction on the theme of Brain Function Assessment in Learning.


Keywords

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

Editors and affiliations

  • Claude Frasson
    • 1
  • George Kostopoulos
    • 2
  1. 1.University of MontrealMontrealCanada
  2. 2.University of PatrasPatrasGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67615-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-67614-2
  • Online ISBN 978-3-319-67615-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book