Open AccessPersonalization of Staff Training As an Adaptive Technology of the Future
Author(s) -
Елена Ширинкина
Publication year - 2022
Publication title -
vestnik volgogradskogo gosudarstvennogo universiteta. èkonomika
Language(s) - English
Resource type - Journals
eISSN - 2713-1599
pISSN - 2713-1580
DOI - 10.15688/ek.jvolsu.2021.4.11
Subject(s) - personalization , adaptability , pace , relevance (law) , computer science , set (abstract data type) , knowledge management , training (meteorology) , analytics , process management , data science , engineering , world wide web , ecology , physics , geodesy , political science , meteorology , law , biology , programming language , geography
The relevance of the study is due to the fact that adaptability will become a hit of corporate training in the coming years. In this regard, the article defines the conceptual base, presents the prospects for the development of trajectories for personalization of personnel training, evaluates the existing models and presents an analysis of the best practices for personalization of training. The purpose of the study is to present technologies that will provide the necessary and sufficient depth of analytics for building personal learning paths. An individualized path of personnel development is natural when there is a clearly defined system of a closed set of knowledge and skills, because everyone has their own pace of development, a line according to the type of problem acceptance and decision. The extent to which personalization will be associated not with a closed learning situation, but with an open development situation (where there is only a vector, not a format), depends on the company’s ability to use these tools.