The Neuro-Subject: A Living Entity with Learnability

  • Ángel Fidalgo-Blanco
  • María Luisa Sein-EchaluceEmail author
  • Francisco José García-Peñalvo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11590)


In the context of an academic subject, students and teachers acquire knowledge and experience, but we must ensure that this experience will be shared and managed. In this way, the learning, acquired in the subject, remains in the subject. A proven way to manage the experience, which has been validated in previous works, is based on considering two dimensions: the conversion of individual knowledge into organizational and the use of a knowledge management system that allows classifying, organizing and finding knowledge based on ontologies and inferences between them. The primary objective of this research work is to join the two dimensions and apply an active method to manage the experience acquired by the teaching staff and students. The combination of the models RT-CICLO, as an active method, and ACCI 3.0 to transform individual and organizational knowledge can be applied so that organizational knowledge and learning are produced in a subject. In this work we have identified the actions in which the students create knowledge, as well as the type of knowledge that is created in each case. Organizational knowledge can be generated from each action, which can also be used to promote individual student learning. In the experience also have been acquired a high perception of usefulness on the part of students with regard to all types of organizational knowledge created.


Active methodologies Collaborative learning Knowledge spiral Knowledge management system 



This work has been partially funded by the Spanish Government Ministry of Economy and Competitiveness throughout the DEFINES project (Ref. TIN2016-80172-R) and the Educational Innovation Service of the Technical University of Madrid (project Ref IE1819.0602). The authors would like to thank the research groups GIDTIC (, GRIAL ( and LITI ( for their support.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.LITI LaboratoryTechnical University of MadridMadridSpain
  2. 2.Department of Applied MathematicsUniversity of ZaragozaSaragossaSpain
  3. 3.GRIAL Research GroupUniversity of SalamancaSalamancaSpain

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