Artificial Intelligence to Counterweight the Effect of COVID-19 on Learning in a Sustainable Environment
Distance learning has been adopted as a very extended model during COVID-19-related confinement. It is also a methodology that can be applied in environments where people do not have easy access to schools. In this study, we automatically classify students as a function of their performance and we d...
Guardado en:
Autores principales: | Laia Subirats, Santi Fort, Santiago Atrio, Gomez-Monivas Sacha |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d937329876574734bfe5df6034fa47a0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures
por: Liu Lu, et al.
Publicado: (2021) -
An Explainable Artificial Intelligence Model for Detecting Xenophobic Tweets
por: Gabriel Ichcanziho Pérez-Landa, et al.
Publicado: (2021) -
A SOFTWARE ARCHITECTURE FOR INTELLIGENT VIRTUAL ENVIRONMENTS APPLIED TO EDUCATION
por: de Antonio,Angélica, et al.
Publicado: (2005) -
Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
por: Tao Yang, et al.
Publicado: (2021) -
The Learning Curve of Artificial Intelligence for Dental Implant Treatment Planning: A Descriptive Study
por: Pathompong Roongruangsilp, et al.
Publicado: (2021)