Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gabriela Esperón"'
Publikováno v:
Procedia - Social and Behavioral Sciences. 112:567-574
Difficulties during the preschool age commonly lead to children who cannot solve problems, organize information and create meaning. It is necessary to predict factors that may affect their future learning. The aim is to develop an evaluation tool, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ba775967604cb2e4d591b09a31cbb8
https://doi.org/10.1016/j.sbspro.2014.01.1203
https://doi.org/10.1016/j.sbspro.2014.01.1203
Autor:
Martín Jorge Agüero, Patricia Arnal, Gabriela Esperón, Sebastian Badaro, Leonardo Javier Ibañez, Uriel Ruben Cukierman, Beatriz Fuertes, Rafael Alexándero Urdaneta, Paula Cerasulo
Publikováno v:
2014 International Conference on Interactive Collaborative Learning (ICL).
This paper is about a mini-course that we developed to train teachers, how to teach basic mathematic concepts to their students by relating those concepts to a popular game like "Candy Crush". In order to facilitate this process, we used GeoGebra, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::800b69b43a9985f707d0b31061674c2b
https://doi.org/10.1109/icl.2014.7017777
https://doi.org/10.1109/icl.2014.7017777
Publikováno v:
2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08).
This paper presents a software metric working prototype to evaluate Java programmer's profiles. In order to automatically detect source code patterns, a Multi Layer Perceptron neural network is applied. Features determined from such patterns constitu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd30da8ade3d5844f95d0a90e14a1d4e
https://doi.org/10.1109/cerma.2008.51
https://doi.org/10.1109/cerma.2008.51
Autor:
Gabriel Sosa, Rafael Alexándero Urdaneta, Lucas Dima, Gabriela Esperón, Daniela López De Luise
Publikováno v:
Ciencia y Tecnología. 1:57
Este trabajo expone, mediante el uso de tecnicas de mineria de datos e inteligencia artificial, una alternativa para determinar posibles factores ajenos a los academicos que puedan interferir de manera positiva o negativa en la calidad del aprendizaj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45e7aa3515a336cbbe183bcdc39ee408
https://doi.org/10.18682/cyt.v1i12.654
https://doi.org/10.18682/cyt.v1i12.654