Intelligent decision support for university application using RIASEC codes
| Main Author: | |
|---|---|
| Publication Date: | 2014 |
| Other Authors: | , , |
| 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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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 |
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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
IATED |
| publisher.none.fl_str_mv |
IATED |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833595285778989056 |