Research on the Innovation Platform of Digital Intelligence Technology Skills for Vocational Education in Ethnic Areas
- DOI
- 10.2991/978-94-6463-238-5_101How to use a DOI?
- Keywords
- Ethnic areas; Vocational education; Digital intelligence; Innovation platform
- Abstract
Currently, the problems of lack of teaching resources, backward equipment and facilities, outdated teaching contents and detachment of talent training from industrial development in vocational schools in ethnic areas need to be solved. Building a digital intelligence technology skills innovation platform for vocational education in ethnic areas, which consists of interaction layer, functional layer, framework layer, data layer and system layer. The platform adopts virtual simulation technology to create the working environment and scenes of real jobs, break the limitation of teaching time and space, reduce the investment in laboratory facilities and equipment and teaching venues, share high-quality educational resources, and provide a reference path for solving the problems of unsatisfactory conditions of vocational education in ethnic areas and insufficient investment in vocational education.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jia Qiu PY - 2023 DA - 2023/09/26 TI - Research on the Innovation Platform of Digital Intelligence Technology Skills for Vocational Education in Ethnic Areas BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 775 EP - 781 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_101 DO - 10.2991/978-94-6463-238-5_101 ID - Qiu2023 ER -