Please use this identifier to cite or link to this item:
https://hdl.handle.net/1822/31283
Title: | Intelligent decision support for university application using RIASEC codes |
Author(s): | Silva, João Pedro Portela, Filipe Santos, Manuel Filipe Taveira, Maria do Céu |
Keywords: | Higher education University application process Decision models Psychometric tests RIASEC codes IASEC Codes |
Issue date: | Jun-2014 |
Publisher: | IATED |
Journal: | INTED Proceedings |
Abstract(s): | 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 |
Type: | Conference paper |
URI: | https://hdl.handle.net/1822/31283 |
ISBN: | 978-84-616-8412-0 |
ISSN: | 2340-1079 |
Peer-Reviewed: | yes |
Access: | Open access |
Appears in Collections: |
Files in This Item:
File | Description | Size | Format | |
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2014 - INTED - Paper 891.pdf | Final | 305,93 kB | Adobe PDF | View/Open |