Research on Employee Training Innovation in the Context of Artificial Intelligence

Zhaoyong Ouyang; Guanlin  Liu; Lina Sha

doi:10.26689/ssr.v6i2.6230

Zhaoyong Ouyang Graduate University of Mongolia, Ulaanbaatar 15160, Mongolia
Guanlin Liu Graduate University of Mongolia, Ulaanbaatar 15160, Mongolia
Lina Sha Graduate University of Mongolia, Ulaanbaatar 15160, Mongolia

DOI: https://doi.org/10.26689/ssr.v6i2.6230

Keywords: Staff training, Artificial intelligence, Process learning ecology, Immersive intelligent training system, Reflective practical thinking

Abstract

As an emerging technology, artificial intelligence has great potential for improving employee training in enterprises. This paper aims to explore the significance of applying artificial intelligence in employee training and put forward relevant strategies for innovative employee training. Artificial intelligence constructs the process learning ecology through the whole thinking process of training, such as by emphasizing human-machine interaction, using artificial intelligence to create an immersive intelligent training system, focusing on reflective practical thinking, constantly improving the ability and level of artificial intelligence training, improving the learning ability and competitiveness of employees.

References

Zheng ZR, 2022, Staff Training and Talent Team Construction of State-owned Enterprises in the New Era. Human Resources Development, 2022(11): 90–92.

Li TJ, 2021, Research on the Application of Artificial Intelligence in Enterprise Employee Training. China Small and Medium-sized Enterprises, 2021(07): 168–169.

Wang LH, Chen LJ, 2023, Artificial Intelligence Helps Enterprises Customize Training. Human Resources, 2023(19): 24–25.

Liu T, Cai J, 2021, Immersive Virtual Collaborative Training System Based on Virtual Reality Design. Journal of Equipment Management and Maintenance, 2021(11): 124–128.

Sun H, Zhang ZH, 2002, Innovation of teacher training model for Artificial Intelligence Technology under The Guidance of Reflective Practical Epistemology. Future and Development, 46(04): 24–29.