TY - GEN
T1 - Artificial Neural Networks to optimize learning and teaching in engineering careers
AU - Motta, Valentin Martinez
AU - Guillen, Roberto Meregildo
AU - Rodriguez Rodriguez, Ciro
N1 - Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - artificial neural networks
KW - higher education
KW - learning
KW - teaching
KW - technology
UR - http://www.scopus.com/inward/record.url?scp=85091969681&partnerID=8YFLogxK
U2 - 10.1109/ICACIT46824.2019.9130296
DO - 10.1109/ICACIT46824.2019.9130296
M3 - Contribución a la conferencia
AN - SCOPUS:85091969681
T3 - Proceedings of the 2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
BT - Proceedings of the 2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 September 2019 through 13 September 2019
ER -