Artificial Neural Networks to optimize learning and teaching in engineering careers

Valentin Martinez Motta, Roberto Meregildo Guillen, Ciro Rodriguez Rodriguez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This article presents how Artificial Intelligence can improve the ways of learning and teaching on the field of Engineering. The main problem we want to face takes place in Education and it shares a common root with the low development of technology applied to this area. In this document, we explain about how tools like artificial neural networks and Artificial Intelligence can improve the situation of Education, providing an efficient alternative to make the students increase their levels of learning to perform well as professionals after finishing their studies of higher education. From the side of teachers, we implement evaluations for them, to verify how much they contribute in the learning process to their students. All of these functionalities are contemplated in the system that we describe in this document, with the main purpose of change the classic paradigms of Education, introducing technology in benefit of the universitary community.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728135670
DOI
EstadoPublicada - set. 2019
Publicado de forma externa
Evento2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019 - Cusco, Perú
Duración: 12 set. 201913 set. 2019

Serie de la publicación

NombreProceedings of the 2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019

Conferencia

Conferencia2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
País/TerritorioPerú
CiudadCusco
Período12/09/1913/09/19

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