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Research on the Training Model of Top Innovative and Entrepreneurial Talents in Economic Statistics under the Background of "AI+"

Author(s)

Lifang Guo*

Affiliation(s)

Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China *Corresponding Author

Abstract

On the basis of combing the research results of traditional mode and " AI +" enabling education, this paper points out that there are some problems such as the lack of students' ability to innovate and apply, the loose combination of data modeling and actual decision-making, and the limited intelligent penetration of the curriculum system. Furthermore, this paper proposes a "four-stage and three-step" progressive training system of "knowledge-data and skills-intelligent and application-innovation ability", explores the dual mode of "AI-assisted competition-Practice Courses" and "AI-driven projects-school enterprise alliance", and promotes the collaborative improvement of students' professional cognition, interdisciplinary integration and innovation and entrepreneurship ability. This model can effectively break the limitations of the traditional application-oriented talent training path, and provide experience for the economic statistics major to explore the new paradigm of "AI-empowerment-innovation and entrepreneurship driven" top-notch talent training.

Keywords

"AI+"; Economic Statistics; Top-Notch Talent Training; Innovation and Entrepreneurship

References

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