Research on Optimization path of Comprehensive Practical Training Course of Economic Management based on Artificial Intelligence Platform

This paper focuses on the integration of artificial intelligence platforms and comprehensive practical training courses in economics and management, exploring optimization approaches to meet the demand for interdisciplinary talents in this field against the backdrop of digital transformation. The study reveals that current domestic application-oriented universities still face challenges in this integration, including outdated data and scenario resources, insufficient student motivation, and a lack of AI proficiency among teaching staff. To address these issues, this paper proposes optimization strategies in three areas: resource development, curriculum design, and teacher training. In terms of resource development, it is suggested that automated business processes and virtual mentor systems be implemented through artificial intelligence platforms. This can optimize practical training processes and provide real-time guidance. In curriculum design, the use of artificial intelligence is advocated to enhance dynamic teaching content and personalized learning paths. This approach can thereby improve students' practical skills and interdisciplinary competencies. Regarding teacher training, systematic training programs, school-enterprise collaboration, and resource support are recommended to enhance teachers' ability to apply artificial intelligence effectively. This paper also analyzes the potential multi-dimensional challenges during implementation and proposes targeted solutions. The research demonstrates that the aforementioned optimization strategies can significantly enhance students' interdisciplinary practical and innovative capabilities. This, in turn, promotes the advancement of comprehensive practical training courses in economics and management towards greater intelligence and practicality. These improvements provide strong support for cultivating high-quality talents in economics and management in the digital economy era.

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Publication Details

Journal
Higher education and practice.
Published
2024-11-01
DOI
https://doi.org/10.62381/h241b17
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Optimization path of Comprehensive Practical Training Course of Economic Management based on Artificial Intelligence Platform

Bo Zhang
Higher education and practice.
Artificial Intelligence Applications
article

Research on Optimization path of Comprehensive Practical Training Course of Economic Management based on Artificial Intelligence Platform

Bo Zhang
article en

Abstract

This paper focuses on the integration of artificial intelligence platforms and comprehensive practical training courses in economics and management, exploring optimization approaches to meet the demand for interdisciplinary talents in this field against the backdrop of digital transformation. The study reveals that current domestic application-oriented universities still face challenges in this integration, including outdated data and scenario resources, insufficient student motivation, and a lack of AI proficiency among teaching staff. To address these issues, this paper proposes optimization strategies in three areas: resource development, curriculum design, and teacher training. In terms of resource development, it is suggested that automated business processes and virtual mentor systems be implemented through artificial intelligence platforms. This can optimize practical training processes and provide real-time guidance. In curriculum design, the use of artificial intelligence is advocated to enhance dynamic teaching content and personalized learning paths. This approach can thereby improve students' practical skills and interdisciplinary competencies. Regarding teacher training, systematic training programs, school-enterprise collaboration, and resource support are recommended to enhance teachers' ability to apply artificial intelligence effectively. This paper also analyzes the potential multi-dimensional challenges during implementation and proposes targeted solutions. The research demonstrates that the aforementioned optimization strategies can significantly enhance students' interdisciplinary practical and innovative capabilities. This, in turn, promotes the advancement of comprehensive practical training courses in economics and management towards greater intelligence and practicality. These improvements provide strong support for cultivating high-quality talents in economics and management in the digital economy era.

Higher education and practice.Vol. 1(11)
Hubei University Of Economics (CN), Wuhan Business University (CN)
Openalex Percentile: Top 73%
Artificial Intelligence Applications
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