Exploration and Practice of the 'Majors and Micro-Majors Dual-Track' AI Innovation Talent Cultivation Model: A Case Study of Wuhu University

Ling Chen

doi:10.6918/IJOSSER.202602_9(2).0019

Authors

Ling Chen

DOI:

https://doi.org/10.6918/IJOSSER.202602_9(2).0019

Keywords:

Talent cultivation model, Micro-major, Confidential computing, AI Innovation Class

Abstract

With the introduction of the “Double Thousand” Plan and the demand for talent in the context of artificial intelligence, the model for cultivating high-level, high-quality talent is undergoing transformation. Micro-majors have gradually extended from online MOOC platforms to university platforms, and as a new mode of education, they have received widespread attention. The AI context also imposes new requirements for talent development. Taking the construction of the Confidential Computing micro-major at Wuhu University as an example, this paper builds an AI innovative talent cultivation model of 'Majors and Micro-Majors Dual-Track'. Through the practice of micro-major development and the AI Innovation Class, it provides a new scheme for talent training. During the implementation of micro-majors and AI Innovation Class, talent is cultivated around the core competencies of micro-credential and AI talent. Owing to their short duration, specialized content, and strong practical orientation, they are widely recognized by students. This study holds certain significance for exploring and practicing pathways for talent cultivation.

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