Digital transformation of learning processes and the development of competencies in the virtual machine-building enterprise environment

Author:

Pozdneev B,Tolok A,Ovchinnikov P,Kupriyanenko I,Levchenko A,Sharovatov V

Abstract

Abstract The paper presents the results of the pilot project “Virtual Machine-Building Enterprise”. It was developed for multi-level learning to meet the needs of the national digital economy and the digital industry. The profile of requirements for end-to-end learning (baccalaureate - magistracy - postgraduate) of prospective personnel in the digital development of machine-building enterprises has been substantiated. E-Portfolio model has been developed in accordance with the requirements of the standards GOST R 57720-2017 and ISO/IEC TR 20013:2015 to manage the digital competency development in the learning process and practical activities. The pilot project “Virtual Machine-Building Enterprise” was implemented at the initiative of MSUT “STANKIN”. It is a corporate technological platform for the digital machine-building development with the participation of industry, IT sector and technical universities. The architecture and functional model of a virtual enterprise are developed taking into account the principles of Industry 4.0, fundamental standards in automation systems integration (ERP, MES, CRM, CAD, CAE, CAPP, PLM, etc.) and e-learning (LMS, CMS, etc.). The educational programs are developed in accordance with the requirements of the FSES 3++, Professional Standards and qualification requirements for Chief Digital Officer. In the future, the pilot project “Virtual Machine-Building Enterprise” should be the basis for the formation of a digital technological university model.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference21 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Information Support for Maintenance and Repair of a Cyber-Physical System of a Machine-Building Profile;Studies in Systems, Decision and Control;2023

2. The Development of Intelligent Educational Content;Automatic Documentation and Mathematical Linguistics;2022-04

3. New Professional Competencies and Skills Leaning towards Industry 4.0;Proceedings of the 14th International Conference on Computer Supported Education;2022

4. Support of Design Decision-Making Process Using Virtual Modeling Technology;Lecture Notes in Networks and Systems;2022

5. Big Challenges of Small Manufacturing Enterprises in Industry 4.0;Advances in Design, Simulation and Manufacturing III;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3