The Transformation of Artificial Intelligence Education under the Guidance of Vocational Skills Competitions: Practices and Reflections Based on the BRICS Skills Competition
Year: 2025
Type: article
Abstract: The dynamic evolution of competition event design in vocational skills competitions plays a guiding role in higher vocational education reform. Taking the artificial intelligence track of the BRICS Skills Competition as a case study, this research analyzes competition data from 2022-2024 through an analytical framework connecting competition event design, talent cultivation, and industry demands. The research reveals three distinct evolutionary characteristics of AI-related competitions: the structural transition from rigid classification to cross-domain convergence, the technological progression from conventional applications to cutting-edge innovation, and the pedagogical transformation from curriculum-based approaches to industry-academia integration. These changes have fostered the formation of a new paradigm in higher vocational artificial intelligence program development, providing theoretical reference for both the digital transformation of vocational education and artificial intelligence program construction.
Author: <p>Lyu Shuojun, Xie Zhiming, Lyu Jiayu</p>
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4413064144