Research on the Innovation of Computer Major Talent Cultivation Models Driven by Generative Artificial Intelligence
With the development of artificial intelligence technology, the cultivation of computer professionals faces new opportunities and challenges. Traditional training models can no longer meet the industry's demand for talent, making innovation in training models urgent. This paper proposes an innovative training model driven by generative artificial intelligence (GAI), which encompasses facilitating student-centered teaching models, strengthening engineering practice ability, and enhancing innovation awareness. A case study on the rebar counting problem is analyzed to illustrate the application of this new approach. The research findings are summarized to provide beneficial references for computer major talent training in universities.
Authors
- Lizhi Liu (ORCID: https://orcid.org/0000-0003-1778-4561)
- Chang Tan (ORCID: https://orcid.org/0000-0001-7564-2946)
Institutions
- Wuhan Institute of Technology (CN)
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/eespe63401.2025.10987499
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00