Integrating technologies associated with data sciencie in vocational and vocational guidance processes

Abstract

The Organic Law on Bilingual Intercultural Education (LOEI) refers to a relaxation of the types of baccalaureate. According to Salgado [1], they expect a technical analysis to be developed where there is a stronger role for the vocational counsellor. This leads to a more important vocational orientation. Currently, technologies related to Data Science such as Artificial Intelligence (AI) and Big Data Mining (Data Mining) are being developed very quickly and strongly to support decision-making processes where large amounts of data are involved. Vocational guidance according to [2] is a decision-making problem where there is a high degree of uncertainty and where classical decision-making models are not fully applicable to provide an effective solution.

The aim is to integrate these tools associated with data science that are already being applied in very diverse fields into the vocational and vocational guidance process. For this it is necessary to have data and therefore the objective is to concentrate on its extraction and collection, so questions arise as

what? where? and with what? look. In addition, it describes the role of these technologies with respect to the topic raised and research existing so far with respect to it. The methodology used is descriptive documentary. At the same time, the proposal of a project to build a technological tool that contributes to the search, collection and classification of data that can be used in vocational and professional orientation processes is presented.