Author(s)

Zhiliang Gao ¹, Jiahao Liu ¹, Xuanwei Lu ², Yuheng Tan ²

Affiliation(s)

¹ School of Information Technology, Changsha Preschool Education College, Changsha, China
² Department of Computing, Zhuzhou Teachers College, Zhuzhou, China

Corresponding Author

Zhiliang Gao

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.

KEYWORDS

Artificial intelligence, job displacement effects, higher vocational institutions, graduates, coping strategies

CITE THIS PAPER

Zhiliang Gao, Jiahao Liu, Xuanwei Lu, Yuheng Tan, Exploring Response Strategies for Higher Vocational Education under the Development Trends of AI-Induced Job Displacement Effects. Advances in Vocational and Technical Education (2024) Vol. 6: 202-207. DOI: http://dx.doi.org/10.23977/avte.2024.060428.

REFERENCES

[1] NJ Nilsson. Artificial Intelligence, Employment, and Income [J]. Human Systems Management, 1984(2):103-123.
[2] David H, Dorn D. The growth of low-skill service jobs and the polarization of the US labor market[J]. American economic review, 2013, 103(5): 1553-1597.
[3] Goos M, Manning A, Salomons A. Explaining jobs polarization: routine-biased technological change and offshoring [J].American Economic Review, 2014, 104(8):2509-2526.
[4] Frey C B, Osborne M A. The future of employment: How susceptible are jobs to computerisation?[J]. Technological forecasting and social change, 2017, 114: 254-280.
[5] Wang Qianyuan, Gan Xing. A glimpse of international research on AI job displacement effects [OL]. China Social Sciences News, http://sscp.cssn.cn/xkpd/yw/202106/t20210628_5342784.html, 2021-06-28.
[6] Qiu Yue, He Qin. Research progress on AI's impact on employment and an integrated theoretical framework in the Chinese context[J]. China Human Resources Development, 2020, 37(02):90-103. DOI:10.16471/j.cnki.11-2822/c.2020. 2.007.
[7] Cao Shouxin, Xu Xiaowen. AI's impact on labor employment and its responses[J]. Shandong Social Sciences, 2020(12):153-159. DOI:10.14112/j.cnki.37-1053/c.2020.12.022.
[8] Wang Xinyu, Xie Yu, Peng Yingying, He Qin. The impact and trend forecast of AI technology on employment: Based on data from Beijing's industrial robot installations[J]. China Human Resources Development, 2022, 39(01):119-133. DOI:10.16471/j.cnki.11-2822/c.2022.1.008.
[9] Wang Chen, Ma Lian. Analysis of the employment status and enhancement strategies of financial students in universities under the background of AI: A case study of a university in Shandong[J]. China University Student Employment, 2020(17):46-52.
[10] Su Kangyou, Liu Guide, Yang Jianping. Research on and practice of AI industry applied talent training system[J]. Education and Teaching Forum, 2022(52):37-40.
[11] Fu Yunfang, Chen Yongxiao, Yang Zhengyan, Qi Ruili. Research on the impact of AI on the employment of graduates in Hebei Province and countermeasures[J]. Journal of Shijiazhuang University, 2023, 25(01):157-160. DOI:10.13573/j.cnki.sjzxyxb.2023.01.013.
[12] Lv Fei, Liu Yadong. Research on vocational education response and development under the background of AI[J]. Continuing Education Research, 2023(02):59-63.
[13] S´ebastien Bubeck , Varun Chandrasekaran , Ronen Eldan , "Sparks of Artificial General Intelligence:Early experiments with GPT-4" , [Online] , arXiv:2303.12712v1 [cs.CL] 22 Mar 2023.
[14] Chen Lin, Gao Yuepeng, Yu Linhui. How Does Artificial Intelligence Change the Demand for Labor in Enterprises? — An Analysis Based on Big Data from Recruitment Platforms [J]. Management World, 2024, 40(06): 74-93. DOI: 10.19744/j.cnki.11-1235/f.2024.0067.

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