Application of neural networks in the teacher selection process

Simple item page
dc.contributor.authorOvalle, Christian
dc.contributor.authorAuccahuasi, Wilver
dc.contributor.authorMeza, Sandra
dc.contributor.authorCordova-Buiza, Franklin
dc.contributor.authorRojas, Karin
dc.contributor.authorCosme, Miryam
dc.contributor.authorInciso-Rojas, Miryam
dc.contributor.authorAiquipa, Gabriel
dc.contributor.authorCampos Martínez, Hernando Martin
dc.contributor.authorFuentes, Alfonso
dc.contributor.authorAuccahuasi, Aly
dc.date.accessioned2023-07-20T16:36:06Z
dc.date.available2023-07-20T16:36:06Z
dc.date.issued2023-01-31
dc.description.abstractThe information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each educational institution, in the present work it is presented a teacher selection model, using neural networks, using 3 criteria and 23 characteristics, which are entered into individual networks for each criterion and additionally a network for the final classification, is presented based on a prototype, an application developed with the computational tool Matlab, which is described in detail for its application and scaling, for purposes of measuring the performance of the network, evaluations were carried out with a group of 30 candidates, grouped into two groups, a group of 15 candidates with positive conditions complying with the policies of the educational institution and a second group with candidates who do not meet the policies of the educational institution, with which sensitivity values ​​of 93% and a specificity level of 86% were obtained, we conclude that the model presented can be replicated and conditioned to the needs and policies of each educational institution.en_EN
dc.formatapplication/pdf
dc.identifier.citationOvalle, C., Auccahuasi, W., Meza, S., Cordova-Buiza, F., Rojas, K., Cosme, M., Inciso-Rojas, M., Aiquipa, G., Campos Martínez, H. M., Fuentes, A., & Auccahuasi, A. (2023). Application of neural networks in the teacher selection process. Procedia Computer Science, 218, 1132-1143. https://doi.org/10.1016/j.procs.2023.01.092
dc.identifier.doihttps://doi.org/10.1016/j.procs.2023.01.092
dc.identifier.urihttps://hdl.handle.net/20.500.12640/3490
dc.language.isoeng
dc.publisherElsevier
dc.publisher.countryNL
dc.relation.ispartofurn:issn:1877-0509
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1877050923000923/pdf?md5=514154daca76f1b4d4e139be582c7697&pid=1-s2.0-S1877050923000923-main.pdf
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectSelectionen_EN
dc.subjectClassificationen_EN
dc.subjectNetworken_EN
dc.subjectSensitivityen_EN
dc.subjectSpecificityen_EN
dc.subjectSelecciónes_ES
dc.subjectClasificaciónes_ES
dc.subjectRedes_ES
dc.subjectSensibilidades_ES
dc.subjectEspecificidades_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.01
dc.titleApplication of neural networks in the teacher selection processen_EN
dc.typeinfo:eu-repo/semantics/article
dc.type.otherArtículo
dc.type.versioninfo:eu-repo/semantics/publishedVersion
local.author.orcidhttps://orcid.org/0000-0002-4650-1340
oaire.citation.endPage1143
oaire.citation.startPage1132
oaire.citation.titleProcedia Computer Science
oaire.citation.volume218
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
meza2023a.pdf
Size:
917.81 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas