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Academic Journal of Business & Management, 2024, 6(12); doi: 10.25236/AJBM.2024.061214.

Research on Building and Optimizing a Digital Skills Training System for Enterprise Employees

Author(s)

Ping Du, Yanfen Shen

Corresponding Author:
Yanfen Shen
Affiliation(s)

College of Architectural Information Guangdong Construction Polytechnic, Guangzhou, China

Abstract

This study aims to explore the challenges faced by digital skills enhancement training systems for enterprise employees and to design effective training programs, particularly focusing on the integration of Artificial Intelligence Generated Content (AIGC). As the pace of digital transformation accelerates, enterprises need to continuously adapt to new technologies to maintain their competitiveness. The training program proposed in this paper covers multiple levels from basic to advanced, including the use of digital tools, cybersecurity, data analysis, and other core areas. It also emphasizes the role of AIGC in designing personalized learning paths, generating intelligent learning materials, and providing real-time feedback and evaluation. Research findings indicate that through this training system, employees can significantly enhance their digital skills, better equipping them to handle complex work environments. Moreover, training content can be flexibly adjusted according to specific enterprise needs, catering to individual learning requirements. This paper also provides concrete implementation plans to help enterprises build comprehensive and efficient digital skills training systems, leveraging the advantages of AIGC technology to promote employee growth and successful digital transformation.

Keywords

Employee Digital Skills Enhancement, Training System, Digital Tools, Cybersecurity, Data Analysis, AIGC

Cite This Paper

Ping Du, Yanfen Shen. Research on Building and Optimizing a Digital Skills Training System for Enterprise Employees. Academic Journal of Business & Management (2024) Vol. 6, Issue 12: 109-114. https://doi.org/10.25236/AJBM.2024.061214.

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