Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Karla D. Valenzuela-Gómez"'
Autor:
Mauricio A. Ramírez-Moreno, Mariana Díaz-Padilla, Karla D. Valenzuela-Gómez, Adriana Vargas-Martínez, Juan C. Tudón-Martínez, Rubén Morales-Menendez, Ricardo A. Ramírez-Mendoza, Blas L. Pérez-Henríquez, Jorge de J. Lozoya-Santos
Publikováno v:
Brain Sciences, Vol 11, Iss 6, p 698 (2021)
This study presents a neuroengineering-based machine learning tool developed to predict students’ performance under different learning modalities. Neuroengineering tools are used to predict the learning performance obtained through two different mo
Externí odkaz:
https://doaj.org/article/996818cea70d4c4b95f48b290c3df301
Autor:
Ruben Morales-Menendez, Ricardo A. Ramirez-Mendoza, Karla D. Valenzuela-Gómez, Blas L. Pérez-Henríquez, Adriana Vargas-Martínez, Juan C. Tudon-Martinez, Mauricio Adolfo Ramírez-Moreno, Mariana Díaz-Padilla, Jorge de J. Lozoya-Santos
Publikováno v:
Brain Sciences
Volume 11
Issue 6
Brain Sciences, Vol 11, Iss 698, p 698 (2021)
Volume 11
Issue 6
Brain Sciences, Vol 11, Iss 698, p 698 (2021)
This study presents a neuroengineering-based machine learning tool developed to predict students’ performance under different learning modalities. Neuroengineering tools are used to predict the learning performance obtained through two different mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bbb4b169a1eeda5e12b741ae7c50cb5
https://doi.org/10.3390/brainsci11060698
https://doi.org/10.3390/brainsci11060698