Research on the trend and path of university talent cultivation in artificial intelligence-driven innovation consortia
Jing Chen
Suzhou Vocational Institute of Industrial Technology
DOI: https://doi.org/10.59429/bam.v7i1.9556
Keywords: Artificial intelligence-driven; Innovation consortium; University talent training; Trends and paths
Abstract
The rapid development of artificial intelligence technology is reshaping the innovation ecology and promoting profound changes in the talent cultivation mode of colleges and universities. Through literature research, case analysis and data statistics, this paper systematically explores the new trend and implementation path of university talent cultivation in the innovation consortium driven by artificial intelligence. It is found that there are outstanding problems such as lagging curriculum system, insufficient industry-teaching synergy and single evaluation mechanism. To address these problems, it is proposed to build a closed-loop cultivation system of ‘demand perception - resource reorganization - process optimization - effect tracking’, emphasizing the precision, personalization and intelligence of talent cultivation through the empowerment of AI technology. The results of the study provide a theoretical basis and practical guidance for the digital transformation of higher education.
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