Open Journal of Applied Sciences

Volume 13, Issue 6 (June 2023)

ISSN Print: 2165-3917   ISSN Online: 2165-3925

Google-based Impact Factor: 0.92  Citations  h5-index & Ranking

Exploration and Research on Employment Guidance System in Universities from the Perspective of Artificial Intelligence

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DOI: 10.4236/ojapps.2023.136075    122 Downloads   556 Views  Citations

ABSTRACT

In the context of the era of continuous development of artificial intelligence, the labor value of university students is impacted by technological substitution. Simultaneously, university students are also required to constantly update their skills. All of the above will be the challenge of university students  employment prospects. However, artificial intelligence will also bring new opportunities, which will stimulate the innovation ability of university students and bring new directions for employment. In order to better cope with the possible impact of artificial intelligence, universities should incorporate employment guidance services into the “three-wide education” system. To achieve this, universities need to take the following measures: developing the dynamic monitoring system of university employment based on big data, constructing the employment guidance curriculum system of university students throughout the whole process, updating the mode of diversified employment guidance service as well as establishing a team of employment guidance teachers keeping pace with the times. These measures aim to better adapt to the job market demands in the context of artificial intelligence, guide students to actively respond to the possible impact of artificial intelligence technology, cultivate their core competencies and qualities that are less likely to be replaced by artificial intelligence, and promote the high-quality employment of university students.

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Cao, W. , Ye, X. and Chen, X. (2023) Exploration and Research on Employment Guidance System in Universities from the Perspective of Artificial Intelligence. Open Journal of Applied Sciences, 13, 934-940. doi: 10.4236/ojapps.2023.136075.

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