The information Resource as a Basis for Digital Reorganization of Career Guidance System and Prospective Recruitment of Personnel for Enterprises of the Mineral Resource Cluster

• Main Authors: Panina Тatjana, Dochkin Sergej
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/34/e3sconf_iims2020_04024.pdf

The article presents proposals for the organization of targeted selection of personnel for their subsequent training for enterprises of the mineral resource cluster of the region. Special emphasis is placed on training future specialists who are potentially positioned to solve engineering problems and master mining technologies in the context of digital transformation of the economy. The relevance is confirmed by the processes of digitalization of the economy, active use of social networks and network services by young people, which requires changes in conceptual certainty and correction of the validity of professional self- determination and professional orientation. The main task is to develop technological mechanisms for the implementation of professional self- determination and professional orientation of young people in the conditions of digital modernization of the economy. A new model of complex professional orientation and professional self-determination of young people in the educational territorial ecosystem created on the basis of professional connections, acting on the basis of the results of data analysis obtained during the processing of digital user profiles, is proposed. Expected results are the following: the concept of expanding a multi-level intelligent IT platform for a geographically distributed model of professional orientation and professional self-determination of young people; principles of modeling psychological, physiological and cognitive features of a social network user (potential University applicants) based on their digital footprint for solving problems of individualization of the learning process; algorithm for working with the data obtained to form an individual trajectory of personal development. Such approaches will allow changing the idea of professional self-determination as a temporary process at a certain stage of personal development, prolonging activities for the formation and change of career for the entire professional activity of the individual, and ensure the reproduction of highly qualified personnel for the mining industry in the region.