Use of BCI devices in students for teacher assessment
DOI:
https://doi.org/10.5944/ried.24.1.27502Keywords:
teacher assessment, classroom, physiology, new technologies, science and technologyAbstract
At this paper, we aim to offer a methodology for the collection and study of multimodal data through the integration and use of a brain-computer interface system better known as BCI, which facilitate the reading of physiological activity through electroencephalography (EEG) techniques to achieve analyzing cognitive processes that occur in subjects who are within a classroom voluntarily willing to learn. The BCI device of the NeuroSky brand, which is considered a low cost device, was used in conjunction with the free use software neuroexperimenter, where, being used together, it is possible to collect multimodal data in a traditional classroom; the obtained products served as a basis for conducting analysis of learning processes, to understand what happens from a perspective of cognitive neuroscience. The products of this methodology can be used as a reference for building reports to provide teachers feedback, where physiological data on the levels of attention in students open the opportunity to interpret the impacts of teaching activities. The relevance of this paper lies in the opportunity found to use BCI technologies so as to carry out studies within a classroom in an objective manner without using instruments such as a questionnaire.
FULL ARTICLE:
https://revistas.uned.es/index.php/ried/article/view/27502/22053
Downloads
References
Aguilar, F. (2017). Memoria para optar al grado de doctor bajo el programa de Neurociencias. Implicación de las células gliales de microglía y astroglía en los procesos de aprendizaje y memoria de reconocimiento de objetos. Universidad Pablo de Olavide Facultad de Ciencias Experimentales Departamento de Fisiología, Anatomía y Biología Celular. Sevilla España.
Amo, D., y Santiago, R. (2017). Learning Analytics. La narración del aprendizaje a través de los datos. Editorial UOC.
Bello, R. (2016). Neurociencias Aplicadas A La Educacion. Publicación de la Universidad Católica Santo Domingo. República Dominicana. https://www.researchgate.net/publication/288832530_Neurociencias_Aplicadas_a_la_Educacion
Corona, A., Altamirano, M., Ortega, M. D. L. Á., y González, O. A. G. (2019). Analítica del aprendizaje y las neurociencias educativas: nuevos retos en la integración tecnológica. Revista Iberoamericana de Educación, 80(1), 31-54. https://doi.org/10.35362/rie8013428
Das, R., Chatterjee, D., Sinharay, A., y Sinha, A. (2014). Cognitive Load Measurement - A Methodology to Compare Low Cost Commercial EEG Devices. Advances in Computing, Communications and Informatics, ICACCI International Conference. IEEE. (pp. 1188-1194). https://doi.org/10.1109/ICACCI.2014.6968528
Gavotto, O. (2015). Fundamentos neuropedagógicos para mejorar la atención de los estudiantes en el proceso educativo. Revista Digital de Investigación Educativa Conect@2 Año VI, 11.
Glejzer, C. (2017). Las bases biológicas del aprendizaje. Editorial de la Facultad de Filosofía y Letras Universidad de Buenos Aires. https://bit.ly/2Y6Sjfo
Gómez, M., Vázquez, E. (2018). ¿Qué son las neurociencias? TEPEXI Boletín Científico de la Escuela Superior Tepeji del Río, 5(9). https://doi.org/10.29057/estr.v5i9.2976
Goswami, U. (2006). Neuroscience and education: from research to practice? Nature reviews neuroscience, 7(5), 406-413. https://doi.org/10.1038/nrn1907
Hamui-Sutton, A. (2013). Un acercamiento a los métodos mixtos de investigación en educación médica. Investigación en educación médica, 2(8), 211-216. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2007-50572013000400006&lng=pt&tlng=es. https://doi.org/10.1016/S2007-5057(13)72714-5
Hassib, M., Schneegass, S., Eiglsperger, P., Henze, N., Schmidt, A., y Alt, F. (2017). EngageMeter: A system for implicit audience engagement sensing using electroencephalography. In Proceedings of the 2017 Chi conference on human factors in computing systems (pp. 5114-5119). https://doi.org/10.1145/3025453.3025669
Immordino-Yang, M. H., y Fischer, K. W. (2009, in press). Neuroscience bases of learning. In V. G. Aukrust (Ed.), International Encyclopedia of Education, 3rd Edition, Section on Learning and Cognition. Oxford. Elsevier. https://doi.org/10.1016/B978-0-08-044894-7.00500-5
Linarez-Placencia, G., Espinoza-Castelo, l. M., y Pimentel-Félix, A. (2019). Neurociencia y eneagrama: Reconfigurando los equipos de trabajo Neuroscience and enneagram: Reconfiguring work teams. Revista de Pedagogía, 3(8), 6-16. https://doi.org/10.35429/JCP.2019.8.3.6.16
McCain, M., Mustard, F., y McCuaig, K. (2012). Capítulo 2 Vida temprana y aprendizaje, comportamiento y salud. Capítulo 21 del libro Early Years Study 3: Making decisions. Takingactions. Segunda Edición.
Mellender, F. (2016). neuroexperimenter (No de versión 4). Windows. Mellender.
MindWave eSense(tm) Meters. (2009). http://developer.neurosky.com/docs/doku.php?id=esenses_tm#esense_tm_meters
Ninaus, M., Kober, S. E., Friedrich, E. V., Neuper, C., y Wood, G. (2014). The potential use of neurophysiological signals for learning analytics. In 2014 6th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES) (pp. 1-5). IEEE. https://doi.org/10.1109/VS-Games.2014.7012169
Rogers, J. M., Johnstone, S. J., Aminov, A., Donnelly, J., y Wilson, P. H. (2016). Test-retest reliability of a single-channel, wireless EEG system. International Journal of Psychophysiology, 106, 87-96. https://doi.org/10.1016/j.ijpsycho.2016.06.006
Sezer, A., İnel, Y., Seçkin, A. Ç., y Uluçınar, U. (2015). An investigation of university students' attention levels in real classroom settings with neurosky's mindwave mobile (EEG) device. In Intenational Educational Technology Conference, İstanbul, Turkey (pp. 27-29).
Rodríguez, M. (2008). La teoría del aprendizaje significativo en la perspectiva de la psicología cognitiva. Editorial Octaedro.
Torres, F., Sánchez, C., y Baus, K. P. (2014). Adquisición y análisis de señales cerebrales utilizando el dispositivo MindWave. Actas del Congreso de Reconocimiento de Patrones, Control Inteligente, Comunicaciones e Ingeniería Biomédica, 5, 83-93.
Temoche, F (2014). Libro electrónico Neurociencia Cognitiva. Neurociencia: la ciencia del sistema nervioso. https://es.scribd.com/document/235167245/Neurociencia-Cognitiva-Dr-Francisco-L-Temoche-Ruiz
Valderrama C., y Ulloa, G. (2012). Análisis espectral de parámetros fisiológicos para la detección de emociones. Sistemas & Telemática, 10(20), 27-49. https://doi.org/10.18046/syt.v10i20.1148
Xu, T., Zhou, Y., Wang, Z., y Peng, Y. (2018). Learning emotions EEG-based recognition and brain activity: A survey study on BCI for intelligent tutoring system. Procedia computer science, 130, 376-382. https://doi.org/10.1016/j.procs.2018.04.056
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 RIED. Revista Iberoamericana de Educación a Distancia
This work is licensed under a Creative Commons Attribution 4.0 International License.
The articles that are published in this journal are subject to the following terms:
1. The authors grant the exploitation rights of the work accepted for publication to RIED, guarantee to the journal the right to be the first publication of research understaken and permit the journal to distribute the work published under the license indicated in point 2.
2. The articles are published in the electronic edition of the journal under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. You can copy and redistribute the material in any medium or format, adapt, remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
3. Conditions for self-archiving. Authors are encouraged to disseminate electronically the OnlineFirst version (assessed version and accepted for publication) of its articles before publication, always with reference to its publication by RIED, favoring its circulation and dissemination earlier and with this a possible increase in its citation and reach among the academic community.
