Brain Function Assessment in Learning

1. Front Matter

   Pages i-xv

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2. Affective Learning: Principles, Technologies, Practice

   • Panagiotis D. Bamidis

   Pages 1-13

3. Understanding How Learning Takes Place with Neuroscience and Applying the Results to Education

   • Andreas A. Ioannides

   Pages 14-35

4. Tracing and Enhancing Serendipitous Learning with ViewpointS

   • Stefano A. Cerri, Philippe Lemoisson

   Pages 36-47

5. Online Brain Training Programs for Healthy Older Individuals

   • Blanka Klimova

   Pages 48-56

6. Evaluating Active Learning Methods for Bankruptcy Prediction

   • Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas

   Pages 57-66

7. A Prognosis of Junior High School Students’ Performance Based on Active Learning Methods

   • Georgios Kostopoulos, Sotiris Kotsiantis, Vassilios S. Verykios

   Pages 67-76

8. The Effects of Working Memory Training on Cognitive Flexibility in Man

   • Vasiliky Stavroulaki, Eleni Kazantzaki, Panagiotis Bitsios, Kyriaki Sidiropoulou, Stella G. Giakoumaki

   Pages 77-87

9. Computers Cannot Learn the Way Humans Do – Partly, Because They Do not Sleep

   • George K. Kostopoulos

   Pages 88-97

10. Modeling Animal Brains with Evolutive Cognitive Schemas

    • Pierre Bonzon

    Pages 98-107

11. Neural Knowledge Tracing

    • Long Sha, Pengyu Hong

    Pages 108-117

12. Game Experience and Brain Based Assessment of Motivational Goal Orientations in Video Games

    • Mohamed S. Benlamine, René Dombouya, Aude Dufresne, Claude Frasson

    Pages 118-132

13. Real-time Brain Assessment for Adaptive Virtual Reality Game : A Neurofeedback Approach

    • Hamdi Ben Abdessalem, Claude Frasson

    Pages 133-143

14. Event-Related Brain Potentials from Pictures Relevant to Disaster Education

    • Angeliki Tsiara, Tassos A. Mikropoulos, Dimitris Mavridis, Julien Mercier

    Pages 144-158

15. Real-time Spindles Detection for Acoustic Neurofeedback

    • Stella Zotou, George K. Kostopoulos, Theodore A. Antonakopoulos

    Pages 159-168

16. Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learning Search Algorithms

    • Foteini Grivokostopoulou, Isidoros Perikos, Ioannis Hatzilygeroudis

    Pages 169-175

17. Virtual Sophrologist: A Virtual Reality Neurofeedback Relaxation Training System

    • Guoxin Gu, Claude Frasson

    Pages 176-185

18. Different Frequency-Dependent Properties Between Dorsal and Ventral Hippocampal Synapses

    • Costas Papatheodoropoulos

    Pages 186-191

19. Using Electroencephalograms to Interpret and Monitor the Emotions

    • Amin Shahab, Claude Frasson

    Pages 192-202

20. Back Matter

    Pages 203-215

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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.

• 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

• University of Montreal, Montreal, Canada

  Claude Frasson

• University of Patras, Patras, Greece

  George Kostopoulos

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