Answers are grounded in this paper and cite their sources.
This analysis explores the co-construction of AI education bases, enhancing digital competence in communities, suggesting effective collaboration models.
With the rapid advancement of artificial intelligence (AI) technologies, their deep integration into various societal domains has raised higher demands for universal scientific and technological literacy. Universities serve as core hubs for technological innovation and talent cultivation, while local governments act as key drivers of regional development and public service provision. The co-construction of AI general education bases through university-local govern-ment collaboration represents an innovative pathway to promote AI literacy, enhance public digital competence, and support local socio-economic develop-ment. This paper focuses on the operational mechanisms of such co-constructed AI general education bases, analyzing their background and significance, ex-ploring collaborative models and operational frameworks, identifying critical challenges, and proposing optimization strategies. The aim is to provide theo-retical support and practical reference for building a sustainable and high-quality AI general education system.
No takes yet. Share an insight, caveat, or question.
Tang et al. (2025) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: