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Authors: Fernando Calle-Alonso 1 ; Agustín Cuenca-Guevara 1 ; Daniel de la Mata Lara 1 ; Jesús M. Sánchez-Gómez 2 ; Miguel A. Vega-Rodríguez 2 and Carlos J. Pérez Sánchez 2

Affiliations: 1 ASPgems SL, Spain ; 2 University of Extremadura, Spain

ISBN: 978-989-758-239-4

Keyword(s): Educational Data Mining, e-Learning, Learning Analytics, Learning Management Systems, Neurodidactics, Computer-Supported Collaborative Learning, Social Learning, Social Networks.

Related Ontology Subjects/Areas/Topics: Blended Learning ; Computer-Supported Education ; e-Learning ; e-Learning Platforms ; Information Technologies Supporting Learning ; Learning Analytics ; Learning/Teaching Methodologies and Assessment ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: The use of online education platforms has grown extensively and most education centers and companies use them for their learning programs. Although technology has changed the learning environment, the pedagogical model has mostly remained the same as it was many years ago. Therefore, another education paradigm should arrive to online platforms in a generalized way. In this paper, NeuroK is presented as a new e-Learning platform leveraging the latest technologies and, moreover, implementing new tools that support pedagogical principles from neuroscience. While most of traditional platforms focus on content, content management and applying teacher-centred methodologies (everything goes through the teacher), NeuroK focuses on students, and uses collaborative learning, motivational processes and a “learning by doing” perspective to achieve a long-term relevant learning. The proposed NeuroK framework describes the already implemented tools and the new ones to be included in next versions. An active R&D process allows new methodologies from the fields of Learning Analytics, Data Mining and Social Learning to be proposed and implemented. The main contribution of this platform is to deploy a significant improvement in the e- Learning process based on a neurodidactics approach and data analysis research results. (More)

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Paper citation in several formats:
Calle-Alonso, F.; Cuenca-Guevara, A.; de la Mata Lara, D.; Sánchez-Gómez, J.; Vega-Rodríguez, M. and Pérez Sánchez, C. (2017). NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience.In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4, pages 550-555. DOI: 10.5220/0006378705500555

@conference{csedu17,
author={Fernando Calle{-}Alonso. and Agustín Cuenca{-}Guevara. and Daniel de la Mata Lara. and Jesús M. Sánchez{-}Gómez. and Miguel A. Vega{-}Rodríguez. and Carlos J. Pérez Sánchez.},
title={NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={550-555},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006378705500555},
isbn={978-989-758-239-4},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience
SN - 978-989-758-239-4
AU - Calle-Alonso, F.
AU - Cuenca-Guevara, A.
AU - de la Mata Lara, D.
AU - Sánchez-Gómez, J.
AU - Vega-Rodríguez, M.
AU - Pérez Sánchez, C.
PY - 2017
SP - 550
EP - 555
DO - 10.5220/0006378705500555

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