Title
Artificial Neural Networks to optimize learning and teaching in engineering careers
Date Issued
01 September 2019
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Language
Spanish
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Educación general (incluye capacitación, pedadogía)
Scopus EID
2-s2.0-85091969681
ISBN of the container
978-172813567-0
Conference
Proceedings of the 2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
Sources of information: Directorio de Producción Científica Scopus