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La cultura informática en la enseñanza-aprendizaje del inglés
- Source :
- Revista Simón Rodríguez, Vol 4, Iss 8, Pp 36-48 (2024)
- Publication Year :
- 2024
- Publisher :
- Universidad Latinoamericana, 2024.
-
Abstract
- This study presents a model designed to predict academic performance using neural networks. It is framed within a quantitative approach and is categorized as a multivariate correlational study. The research is based on a database from an educational institution, available in the data repository of the University of California, Irvine. R was chosen as the programming language, with RStudio as the development environment. The CRISP-DM methodology was adopted to carry out the data analysis. The construction of the neural network was carried out using the nnet package, available in the Comprehensive R Archive Network (CRAN). The neural network model was applied to data collected from 649 students, and its predictive ability was comprehensively evaluated. After comparing it with a multiple linear regression model, it was observed that the neural network model achieved an effectiveness of 87% in predicting academic performance, evidencing its suitability for this purpose.
- Subjects :
- aprendizaje
comunicación
cultura informática
enseñanza
inglés
Education
Subjects
Details
- Language :
- Spanish; Castilian
- ISSN :
- 30061385
- Volume :
- 4
- Issue :
- 8
- Database :
- Directory of Open Access Journals
- Journal :
- Revista Simón Rodríguez
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.1c98644bf6c4e66b2f500f1ca5d7b17
- Document Type :
- article
- Full Text :
- https://doi.org/10.62319/simonrodriguez.v.4i8.32