School Dropout Screening through Artificial Neural Networks based Systems

Bibliographic Details
Main Author: Figueiredo, Margarida
Publication Date: 2014
Other Authors: Vicente, Lídia, Vicente, Henrique, Neves, José
Language: por
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/11442
Summary: School dropout is one of the major concerns of our society. Indeed, it is a complex phenomenon, resulting in economic and social losses, either to the individual, family or the community to which the person belongs. Academic difficulty and failure, poor attendance, retention, disengagement from school together with family and socio-economic reasons can lead to such occurrence. In this work Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate potential situations of school dropout and the degree of confidence that one has on such a happening.
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spelling School Dropout Screening through Artificial Neural Networks based SystemsArtificial Neuronal NetworksKnowledge Representation and ReasoningLogic ProgrammingSchool DropoutSchool dropout is one of the major concerns of our society. Indeed, it is a complex phenomenon, resulting in economic and social losses, either to the individual, family or the community to which the person belongs. Academic difficulty and failure, poor attendance, retention, disengagement from school together with family and socio-economic reasons can lead to such occurrence. In this work Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate potential situations of school dropout and the degree of confidence that one has on such a happening.INASE2014-09-18T17:39:37Z2014-09-182014-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10174/11442http://hdl.handle.net/10174/11442porFigueiredo, M., Vicente, L., Vicente, H. & Neves, J., School Dropout Screening through Artificial Neural Networks based Systems. In N. Mastorakis, P. Dondon & P. Borne Eds., Advances in Educational Technologies, Educational Technologies Series, Vol. 12, pp. 22–27, INASE, Santorini, Greece, 2014.Santorini, Greece978-1-61804-238-5http://www.europment.org/library/2014/santorini/bypaper/EDU/EDU-02.pdf6Departamento de Químicamtf@uevora.ptlmrcvicente@gmail.comhvicente@uevora.ptjneves@di.uminho.ptFigueiredo, MargaridaVicente, LídiaVicente, HenriqueNeves, Joséinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T18:54:56Zoai:dspace.uevora.pt:10174/11442Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:02:17.647233Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv School Dropout Screening through Artificial Neural Networks based Systems
title School Dropout Screening through Artificial Neural Networks based Systems
spellingShingle School Dropout Screening through Artificial Neural Networks based Systems
Figueiredo, Margarida
Artificial Neuronal Networks
Knowledge Representation and Reasoning
Logic Programming
School Dropout
title_short School Dropout Screening through Artificial Neural Networks based Systems
title_full School Dropout Screening through Artificial Neural Networks based Systems
title_fullStr School Dropout Screening through Artificial Neural Networks based Systems
title_full_unstemmed School Dropout Screening through Artificial Neural Networks based Systems
title_sort School Dropout Screening through Artificial Neural Networks based Systems
author Figueiredo, Margarida
author_facet Figueiredo, Margarida
Vicente, Lídia
Vicente, Henrique
Neves, José
author_role author
author2 Vicente, Lídia
Vicente, Henrique
Neves, José
author2_role author
author
author
dc.contributor.author.fl_str_mv Figueiredo, Margarida
Vicente, Lídia
Vicente, Henrique
Neves, José
dc.subject.por.fl_str_mv Artificial Neuronal Networks
Knowledge Representation and Reasoning
Logic Programming
School Dropout
topic Artificial Neuronal Networks
Knowledge Representation and Reasoning
Logic Programming
School Dropout
description School dropout is one of the major concerns of our society. Indeed, it is a complex phenomenon, resulting in economic and social losses, either to the individual, family or the community to which the person belongs. Academic difficulty and failure, poor attendance, retention, disengagement from school together with family and socio-economic reasons can lead to such occurrence. In this work Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate potential situations of school dropout and the degree of confidence that one has on such a happening.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-18T17:39:37Z
2014-09-18
2014-01-01T00:00:00Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/11442
http://hdl.handle.net/10174/11442
url http://hdl.handle.net/10174/11442
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Figueiredo, M., Vicente, L., Vicente, H. & Neves, J., School Dropout Screening through Artificial Neural Networks based Systems. In N. Mastorakis, P. Dondon & P. Borne Eds., Advances in Educational Technologies, Educational Technologies Series, Vol. 12, pp. 22–27, INASE, Santorini, Greece, 2014.
Santorini, Greece
978-1-61804-238-5
http://www.europment.org/library/2014/santorini/bypaper/EDU/EDU-02.pdf
6
Departamento de Química
mtf@uevora.pt
lmrcvicente@gmail.com
hvicente@uevora.pt
jneves@di.uminho.pt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv INASE
publisher.none.fl_str_mv INASE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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