Intelligent decision support for university application using RIASEC codes

Bibliographic Details
Main Author: Silva, João Pedro
Publication Date: 2014
Other Authors: Portela, Filipe, Santos, Manuel Filipe, Taveira, Maria do Céu
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/31283
Summary: A study performed recently in Portugal showed that there are currently about 320,000 students attending high school. Typically, 51 % of them didn’t know concretely which course to select, five months before the application date. A significant number (about 160,000) of students needed to be guided and informed about the educational provision at the national level. In addition, 25% of the approximately 309,000 students attending Portuguese Public Higher Education (about 77,000) have changed or thought about changing course during their academic career due to some dissatisfaction related to the current course. In order to minimize these difficulties a decision model was outlined. The solution is based on the construction of a tool that, through a carefully prepared questionnaire, will identify what are the best alternatives for students’ application. Key information has been collected from the analysis of several variables in various contexts (e.g. social, economic, personal, and psychological), from scientific studies and from real facts. The resulting model is a weighted model where variables can be set by the user in order to guide the decision making process. Therefore the model is able to adapt to the intrinsic characteristics of each user. This paper focuses in the psychometric capability of the solution (which is unique in this environment) adopting the RIASEC Codes (domains) as the vocational component of the decision models
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spelling Intelligent decision support for university application using RIASEC codesHigher educationUniversity application processDecision modelsPsychometric testsRIASEC codesIASEC CodesSocial SciencesA study performed recently in Portugal showed that there are currently about 320,000 students attending high school. Typically, 51 % of them didn’t know concretely which course to select, five months before the application date. A significant number (about 160,000) of students needed to be guided and informed about the educational provision at the national level. In addition, 25% of the approximately 309,000 students attending Portuguese Public Higher Education (about 77,000) have changed or thought about changing course during their academic career due to some dissatisfaction related to the current course. In order to minimize these difficulties a decision model was outlined. The solution is based on the construction of a tool that, through a carefully prepared questionnaire, will identify what are the best alternatives for students’ application. Key information has been collected from the analysis of several variables in various contexts (e.g. social, economic, personal, and psychological), from scientific studies and from real facts. The resulting model is a weighted model where variables can be set by the user in order to guide the decision making process. Therefore the model is able to adapt to the intrinsic characteristics of each user. This paper focuses in the psychometric capability of the solution (which is unique in this environment) adopting the RIASEC Codes (domains) as the vocational component of the decision modelsIATEDUniversidade do MinhoSilva, João PedroPortela, FilipeSantos, Manuel FilipeTaveira, Maria do Céu2014-062014-06-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/31283eng978-84-616-8412-02340-1079info: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:RCAAP2024-05-11T05:35:35Zoai:repositorium.sdum.uminho.pt:1822/31283Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:23:34.399730Repositórios 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 Intelligent decision support for university application using RIASEC codes
title Intelligent decision support for university application using RIASEC codes
spellingShingle Intelligent decision support for university application using RIASEC codes
Silva, João Pedro
Higher education
University application process
Decision models
Psychometric tests
RIASEC codes
IASEC Codes
Social Sciences
title_short Intelligent decision support for university application using RIASEC codes
title_full Intelligent decision support for university application using RIASEC codes
title_fullStr Intelligent decision support for university application using RIASEC codes
title_full_unstemmed Intelligent decision support for university application using RIASEC codes
title_sort Intelligent decision support for university application using RIASEC codes
author Silva, João Pedro
author_facet Silva, João Pedro
Portela, Filipe
Santos, Manuel Filipe
Taveira, Maria do Céu
author_role author
author2 Portela, Filipe
Santos, Manuel Filipe
Taveira, Maria do Céu
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Silva, João Pedro
Portela, Filipe
Santos, Manuel Filipe
Taveira, Maria do Céu
dc.subject.por.fl_str_mv Higher education
University application process
Decision models
Psychometric tests
RIASEC codes
IASEC Codes
Social Sciences
topic Higher education
University application process
Decision models
Psychometric tests
RIASEC codes
IASEC Codes
Social Sciences
description A study performed recently in Portugal showed that there are currently about 320,000 students attending high school. Typically, 51 % of them didn’t know concretely which course to select, five months before the application date. A significant number (about 160,000) of students needed to be guided and informed about the educational provision at the national level. In addition, 25% of the approximately 309,000 students attending Portuguese Public Higher Education (about 77,000) have changed or thought about changing course during their academic career due to some dissatisfaction related to the current course. In order to minimize these difficulties a decision model was outlined. The solution is based on the construction of a tool that, through a carefully prepared questionnaire, will identify what are the best alternatives for students’ application. Key information has been collected from the analysis of several variables in various contexts (e.g. social, economic, personal, and psychological), from scientific studies and from real facts. The resulting model is a weighted model where variables can be set by the user in order to guide the decision making process. Therefore the model is able to adapt to the intrinsic characteristics of each user. This paper focuses in the psychometric capability of the solution (which is unique in this environment) adopting the RIASEC Codes (domains) as the vocational component of the decision models
publishDate 2014
dc.date.none.fl_str_mv 2014-06
2014-06-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/31283
url http://hdl.handle.net/1822/31283
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-84-616-8412-0
2340-1079
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IATED
publisher.none.fl_str_mv IATED
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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