Abstract

CHAVES BONILLA, Paola et al. Using word processing techniques for extracting professional skills and competencies from state university profiles in Costa Rica. Innovaciones Educativas [online]. 2022, vol.24, n.36, pp.7-20. ISSN 2215-4132.  http://dx.doi.org/10.22458/ie.v24i36.3818.

The fourth industrial revolution brings with it many changes in the way as well as a diversity in which the activities of the world at large take place. Therefore, the situation becomes quite complex in the case of university graduates, for this revolution presents challenges involving new knowledge, skills, and abilities needed for the jobs, which encourages the appearance of significant challenges that are comprehended in the processes of automation. In order to outline each of the disciplines concerning different groups of abilities, this research was structured in three methodological stages. The first is a description of the academic profiles of the Costa Rican state universities- this is a set of documents representing the population studied. The second is the creation of a dictionary, and the third is when we built a database that houses the skills and abilities of university graduates from each discipline. All of the above was possible, through the development of a series of tools programmed in Python language, to collect information, extract skills and competencies, and finally, calculate proportions. The main result of the research is the construction and naturalization of a database at the level of state university careers through the creation of eight groups of skills and competencies appropriately integrated by competencies associated with different themes. The most important contribution is the comprehensive analysis of the academic profiles of university careers.

Keywords : Higher education; college student; skills; competencies; industry; profession; data processing..

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