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Ontology rules application for efficient career choice

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Ontology rules application for efficient career choice

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dc.contributor.author Startseva, Elena es_ES
dc.contributor.author Grimaylo, Andrey es_ES
dc.contributor.author Chernyahovskaya, Liliya es_ES
dc.contributor.author LLopis Pascual, Fernando es_ES
dc.date.accessioned 2019-07-23T06:07:20Z
dc.date.available 2019-07-23T06:07:20Z
dc.date.issued 2019-07-05
dc.identifier.isbn 9788490486610
dc.identifier.uri http://hdl.handle.net/10251/123994
dc.description.abstract [EN] The aim of this work is to help university applicants in their transition phase from high-school to tertiary education starting with their first life-long decision concerning their choice of the field of study. The construction of the decision support system has evolved into an ontology-based model. The model, as well as the decision making rules, have been formulated based on the research study of the cohort of 69000 students of the University of Alicante between 2010 and 2018. The educational and psychological processes have been studied in order to identify the pivot moments and the factors that may lead to an adequate decision making or to an objectively wrong decision which eventually ends up in a drop-out of studies. Analysing the existing methods of occupational and educational choice assistance, the method of John L. Holland on “A Psychological Classification of Occupations” has been selected as the most viable and convenient for this purpose. The Holland Codes have been adopted as a lingua franca of this ontology-based model. As a result, the ontology-based decision support system provides assistance in decision making using the Holland Code terminology and practically unlimited complexity of the object and data properties of and ontological presentation of knowledge. es_ES
dc.description.sponsorship This work made use of the methods and models developed under the RFBR Grant 18-00-00238 "Methods and models of the intellectual decision support in innovative project management on the basis of knowledge of engineering". es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof HEAD'19. 5th International Conference on Higher Education Advances es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Higher Education es_ES
dc.subject Learning es_ES
dc.subject Educational systems es_ES
dc.subject Teaching es_ES
dc.subject Ontology-based decision support system es_ES
dc.subject Occupational and educational choice es_ES
dc.subject Holland code es_ES
dc.title Ontology rules application for efficient career choice es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/HEAD19.2019.9251
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Startseva, E.; Grimaylo, A.; Chernyahovskaya, L.; Llopis Pascual, F. (2019). Ontology rules application for efficient career choice. En HEAD'19. 5th International Conference on Higher Education Advances. Editorial Universitat Politècnica de València. 1179-1186. https://doi.org/10.4995/HEAD19.2019.9251 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename Fifth International Conference on Higher Education Advances es_ES
dc.relation.conferencedate Junio 26-28, 2019 es_ES
dc.relation.conferenceplace València, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/HEAD/HEAD19/paper/view/9251 es_ES
dc.description.upvformatpinicio 1179 es_ES
dc.description.upvformatpfin 1186 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela 9251 es_ES


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