Development Path of Labor Education in the Era of Artificial Intelligence in China

Changtu Wang , Junliang Ren

Elect Elect Eng Res ›› 2022, Vol. 2 ›› Issue (1) : 50 -60.

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Elect Elect Eng Res ›› 2022, Vol. 2 ›› Issue (1) :50 -60. DOI: 10.37420/j.eeer.2022.004
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Development Path of Labor Education in the Era of Artificial Intelligence in China
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Abstract

This article elucidates the logical relationship between artificial intelligence and the development of labor education in China. Taking the perspective of Marxist labor theory, it points out that the rise of artificial intelligence is an inevitable outcome of the development of social production relations and productivity. It raises new questions and challenges regarding the essence and role of labor. The article emphasizes the new requirements of artificial intelligence for the quality of workers, highlighting new opportunities and challenges for labor education in adapting to future labor market demands, including technological barriers, digital divides, and the innovation of educational systems and institutions.In conclusion, the article proposes a development path for labor education utilizing artificial intelligence technology. It underscores the upgrading of labor education theories, focuses on the application of artificial intelligence technology in labor education practices, and suggests the establishment of a diversified labor education evaluation system. This aims to cultivate students' innovative practical abilities, emphasizing interdisciplinary integration and collaborative mechanisms to collectively promote the development of labor education.

Keywords

Artificial Intelligence / Chinese Labor Education / Marxist Theory of Labor.

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Changtu Wang, Junliang Ren. Development Path of Labor Education in the Era of Artificial Intelligence in China. Elect Elect Eng Res, 2022, 2(1): 50-60 DOI:10.37420/j.eeer.2022.004

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