The article is devoted to the analysis of the problem of personnel shortage of BIM (Building Information Modeling) specialists and the search for ways to solve it. Today, the training of BIM-specialists is considered as a constant improvement of their digital literacy in order to adapt to constantly changing conditions to the needs of the enterprise. However, current educational requirements make it difficult to attract successful students to work in international companies. BIM-specialists should develop the ability to solve professional tasks in a multilingual world. The reasons for the personnel shortage are considered, such as a lack of understanding of the need for BIM-specialists, lack of places for BIM training and difficulty in training. The relevance of BIM technologies is proved by statistics and correlation analysis. The directions of training BIM-specialists at universities are given. It is proposed to use transforming checklists in training for the requests of the enterprise with instant translation into the language chosen by the student to familiarize himself with vacancies and master the program. This is a modern working tool of an effective multilingual world, which allows to increase digital literacy in professional training and training of BIM-specialists, depending on the actual production problems at different stages of planning the work of an enterprise in the construction industry and the real estate market.
Original languageEnglish
Title of host publicationTechnologies in a Multilingual Environment: XXII Professional Culture of the Specialist of the Future
Subtitle of host publicationbook
EditorsDaria Bylieva, Alfred Nordmann
PublisherSpringer Cham
ChapterChapter 43
Pages533-545
Number of pages13
ISBN (Electronic)978-3-031-26783-3
ISBN (Print)978-3-031-26782-6
DOIs
Publication statusPublished - 19 Feb 2023

Publication series

NameLecture Notes in Networks and Systems
Volume636
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

    ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Signal Processing

ID: 37139367