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THE PATH OF ARTIFICIAL INTELLIGENCE EMPOWERING CAREER PLANNING EDUCATION FOR LOCAL COLLEGE STUDENTS IN CHINA

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Volume 7, Issue 5, Pp 46-50, 2025

DOI: https://doi.org/10.61784/jcsee3076

Author(s)

ZhiXing Hu*orcid.logo.icon(1).png, ZhenYu Yin, YuFei Zhou, Kan Wu*orcid.logo.icon(1).png

Affiliation(s)

School of Economics and Management, Hezhou University, Hezhou 542899, Guangxi, China.

Corresponding Author

ZhiXing Hu, Kan Wu

ABSTRACT

This paper focuses on the path of artificial intelligence (AI) empowering career planning education for college students in local universities. It analyzes the current situation, dilemmas, and application trends of AI technology in career planning education at local universities, explores the integration logic and empowerment value of AI and career planning education, and proposes five specific paths: intelligent assessment and career positioning, personalized plan generation, dynamic tracking and feedback optimization, resource integration and platform building, and teacher capacity improvement. Countermeasures and suggestions are provided from five dimensions: technological optimization, policy guarantee, resource integration, teacher empowerment, and student guidance. This paper aims to promote the transformation of AI from "technological application" to "ecological empowerment" in career planning education at local universities, helping students accurately align with the needs of regional employment markets.

KEYWORDS

AI; Local universities; Career planning

CITE THIS PAPER

ZhiXing Hu, ZhenYu Yin, YuFei Zhou, Kan Wu. The path of artificial intelligence empowering career planning education for local college students in China. Journal of Computer Science and Electrical Engineering. 2025, 7(5): 46-50. DOI: https://doi.org/10.61784/jcsee3076.

REFERENCES

[1] Zhang Lidan. Exploration of the career planning concept of college students with a solid foundation and broad scope. Heilongjiang Education (Higher Education Research and Evaluation), 2020, (03): 82-84.

[2] Li Zhongbin, Tu Manzhang, Zhao Cong. Analysis of accurate career planning in the era of AI. Value Engineering, 2018, 37(31): 281-285. DOI: 10.14018/j.cnki.cn13-1085/n.2018.31.121.

[3] Shi Wenjie. Construction of a network platform for employment guidance services in colleges and universities in the era of AI. China-Arab Science and Technology Forum (Chinese and English), 2023, (11): 122-126.

[4] Shi Hangshuo. Problems and transformation paths of employment education in universities in the era of AI. China Employment, 2025, (06): 92-93. DOI: 10.16622/j.cnki.11-3709/d.2025.06.010.

[5] Liu Haizhen. Research on the mental health and ideological dynamics of students in higher vocational colleges - Based on the perspective of "big ideological and political education" and AI technology empowerment. Journal of Wuhan Metallurgical Management Cadre College, 2025, 35(02): 32-36+85.

[6] Cui Xiaoxia, Zhang Yang, Wang Xue, et al. Research on college students' employment cognition and countermeasures under the background of AI. Popular Literature and Art, 2024, (23): 208-210. DOI: 10.20112/j.cnki.ISSN1007-5828.2024.23.069.

[7] Westman S, Kauttonen J, Klemetti A, et al. AI for career guidance: Current requirements and prospects for the future. IAFOR Journal of Education, 2021, 9(4): 43-62. DOI: https://doi.org/10.22492/ije.9.4.03.

[8] Duan J, Wu S. Beyond traditional pathways: Leveraging generative AI for dynamic career planning in vocational education. International Journal of New Developments in Education, 2024, 6(2): 1-12. DOI: https://doi.org/10.25236/IJNDE.2024.060205.

[9] Pandya S S, Wang J. AI in career development: A scoping review. Human Resource Development International, 2024, 27(3): 1-18. DOI: https://doi.org/10.1080/13678868.2024.2336881.

[10] Shabur M A. The potential and implications of AI in Bangladesh's early career planning education. Discover Global Society, 2024, 2(50): 1-14. DOI: https://doi.org/10.1007/s44282-024-00072-6.

[11] Stina Westman, Janne Kauttonen, Aarne Klemetti, et al. Artificial Intelligence for Career Guidance - Current Requirements and Prospects for the Future. IAFOR Journal of Education, 2021, 9(4): 43-62.

[12] Gao Qiqi, Li Song. From functional division of labor to interest-based cooperation: career reshaping in the era of AI. Journal of Shanghai Administration Institute, 2017, 18(06): 78-86.

[13] He Liping, Chen Yiling. Research on the impact and countermeasures of the big model era on college students' career planning. Journal of Guilin University of Aerospace Technology, 2024, 29(04): 620-624.

[14] Xue Qian. Research on the design of career planning recommendation system for college students based on AI. Heilongjiang Science, 2025, 16(01): 98-100+104.

[15] Wang Maofa, Wang Zimin, Wang Huadeng, et al. Research on employment-oriented AI professional talent training program. Computers and Telecommunications, 2021, (08): 37-39. DOI: 10.15966/j.cnki.dnydx.2021.08.010.

[16] Ren Ping, He Yang, Zhao Tengfei. Reform and enlightenment of labor education curriculum in German schools in the era of Industry 4.0. Journal of Beijing Normal University, 2021, 35(06): 81-87. DOI: 10.16398/j.cnki.jbjieissn1008-228x.2021.06.012.

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