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Exploring Response Strategies for Higher Vocational Education under the Development Trends of AI-Induced Job Displacement Effects

Year: 2024

Type: article

Abstract: This paper delves into the development trends of job displacement effects caused by artificial intelligence (AI) and explores strategies for higher vocational education to address these effects. Given the rapid advancement of AI technology, which poses potential risks of job displacement, the study highlights the uncertainties associated with AI's job displacement effects and the subsequent impact on the employment of graduates from higher vocational institutions. To effectively address this issue, the paper proposes fourteen strategies, including enhancing the quality of higher vocational education, fostering closer collaboration with businesses, and nurturing students' innovation capabilities. Furthermore, the paper discusses future research directions, such as labor market adjustments and restructuring, as well as skills demand analysis.

Source: Advances in Vocational and Technical Education

DOI: 10.23977/avte.2024.060428

Authors: Zhiliang Gao, Jiahao Liu, Xuanwei Lu, Yuheng Tan

Institutions: Changsha Preschool Education College, Zhuzhou Teachers College

Language: English

Topic: Education Systems and Policy

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDGs: Decent work and economic growth, Quality education

Open Access status: hybrid

Funder: Jilin Office of Philosophy and Social Science