Artificial Neural Networks to optimize learning and teaching in engineering careers

Valentin Martinez Motta, Roberto Meregildo Guillen, Ciro Rodriguez Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728135670
DOIs
StatePublished - Sep 2019
Event2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019 - Cusco, Peru
Duration: 12 Sep 201913 Sep 2019

Publication series

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

Conference

Conference2019 International Symposium on Engineering Accreditation and Education, ICACIT 2019
Country/TerritoryPeru
CityCusco
Period12/09/1913/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • artificial intelligence
  • artificial neural networks
  • higher education
  • learning
  • teaching
  • technology

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