|Publication Type||Conference Paper|
|Año de publicación||2021|
|Authors||Sánchez-Holgado, P, Blanco-Herrero, D, Amores, JJ, Frías-Vázquez, M, Arcila-Calderón, C|
|Corporate Authors||García-Holgado, A, García-Peñalvo, FJ|
|Nombre de la Conferencia||TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing MulticulturalityEighth International Conference on Technological Ecosystems for Enhancing Multiculturality|
|Conference Location||Salamanca, Spain|
Data science is a contemporary discipline that combines computational and mathematical approaches to gain meaningful knowledge of data. It is presented as the solution to problems that we can now solve thanks to the new techniques and methodologies at our disposal. It is emerging as a key capacity for society and, especially, for the current job market. As such, it is a competency that must be incorporated into secondary education. This is because young people must have the necessary training to understand how data is acquired and used in the world, with the aim of achieving more complete professional profiles. The purpose of this work is to outline a Data Science framework as a transversal competence to be incorporated in Secondary Education. For this, a reflection is presented after conducting a review of previous works, focused on the professional sector, and supporting it with the findings of a representative survey of Spanish citizens. The results show that the level of understanding and interest of young people in Data Science is insufficient for the current context and, especially, the labor market.