Publicação
Intelligent decision support for university application using RIASEC codes
| Resumo: | 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 |
|---|---|
| Autores principais: | Silva, João Pedro |
| Outros Autores: | Portela, Filipe; Santos, Manuel Filipe; Taveira, Maria do Céu |
| Assunto: | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
| Ano: | 2014 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867438628045586432 |
|---|---|
| author | Silva, João Pedro |
| author2 | Portela, Filipe Santos, Manuel Filipe Taveira, Maria do Céu |
| author2_role | author author author |
| author_facet | Silva, João Pedro Portela, Filipe Santos, Manuel Filipe Taveira, Maria do Céu |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Silva, João Pedro\"},{\"Person.name\":\"Portela, Filipe\"},{\"Person.name\":\"Santos, Manuel Filipe\"},{\"Person.name\":\"Taveira, Maria do Céu\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Silva, João Pedro Portela, Filipe Santos, Manuel Filipe Taveira, Maria do Céu |
| datacite.date.Accepted.fl_str_mv | 2014-06-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2014-11-25T14:07:15Z |
| datacite.date.embargoed.fl_str_mv | 2014-11-25T14:07:15Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
| datacite.titles.title.fl_str_mv | Intelligent decision support for university application using RIASEC codes |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Silva, João Pedro Portela, Filipe Santos, Manuel Filipe Taveira, Maria do Céu |
| dc.date.Accepted.fl_str_mv | 2014-06-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2014-11-25T14:07:15Z |
| dc.date.embargoed.fl_str_mv | 2014-11-25T14:07:15Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/31283 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | IATED |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
| dc.title.fl_str_mv | Intelligent decision support for university application using RIASEC codes |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| 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 |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/54ecc876-28dd-46ce-849b-a98ea9f5591c/download |
| id | rum_e0a5c66a80ebae67e8347399c19a525c |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/31283 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/31283 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Silva, João Pedro Portela, Filipe Santos, Manuel Filipe Taveira, Maria do Céu |
| publishDate | 2014 |
| publisher.none.fl_str_mv | IATED |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engIATEDporA 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 modelsapplication/pdfporIntelligent decision support for university application using RIASEC codesSilva, João PedroPortela, FilipeSantos, Manuel FilipeTaveira, Maria do CéuHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf978-84-616-8412-0ISSNIsPartOf2340-10792014-11-25T14:07:15Z2014-062014-06-01T00:00:00ZHandlehttps://hdl.handle.net/1822/31283http://purl.org/coar/access_right/c_abf2open accessHigher educationUniversity application processDecision modelsPsychometric testsRIASEC codesIASEC Codes313276 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/54ecc876-28dd-46ce-849b-a98ea9f5591c/download |
| 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 |
| status | SINGLETON |
| subject.fl_str_mv | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
| title | 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_short | Intelligent decision support for university application using RIASEC codes |
| title_sort | Intelligent decision support for university application using RIASEC codes |
| topic | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
| topic_facet | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
| url | https://hdl.handle.net/1822/31283 |
| visible | 1 |