Computerized Brain Interfaces for Adaptive Learning and Assessment

  • Rosa María ArnaldoEmail author
  • Javier Iglesias
  • Víctor Fernando Gómez
  • Javier Crespo
  • Luis Pérez
  • José Félix Alonso
  • Alvaro Rodriguez Sanz
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 722)


This paper presents a project, which aims to develop a low-cost Brain-Computer Interface (BCI), whose characteristics may allow educational institutions to improve the learning and evaluation methodologies applicable to a specific student. By collecting reliable electroencephalogram (EEG) data, the system will realize a cognitive state monitoring of the learner and will evaluate its brain activity to adapt the content and visualization of the learning material. Two main objectives have been established in order to determine the success of the investigation: Assess the use of contemporaneous low-cost EEG devices and applications as a proper method to obtain reliable results of the students’ cognitive state. Develop signal-processing algorithms that allow identifying the cognitive state of the students as well as their working memory load (WML).


Human factors Learning analytics Learning assessment tools Adaptive learning Electroencephalogram Brain-Computer Interface 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Rosa María Arnaldo
    • 1
    Email author
  • Javier Iglesias
    • 1
  • Víctor Fernando Gómez
    • 1
  • Javier Crespo
    • 1
  • Luis Pérez
    • 1
  • José Félix Alonso
    • 1
  • Alvaro Rodriguez Sanz
    • 1
  1. 1.Aerospace Systems, Air Transport and Airports Department, School of Aeronautical and Space Engineering (ETSIAE)Technical University of MadridMadridSpain

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