Science, Technology, Engineering and Mathematics.
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AI EMPOWERS COLLEGE STUDENTS’ CAREER PLANNING EDUCATION: MODEL CONSTRUCTION, PRACTICAL DILEMMAS AND OPTIMIZATION PATHS

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Volume 3, Issue 5, Pp 79-82, 2025

DOI: https://doi.org/10.61784/wjes3080

Author(s)

JunDi Chen

Affiliation(s)

Nanning Normal University, Nanning 530001, Guangxi, China.

Corresponding Author

JunDi Chen

ABSTRACT

On the one hand, the traditional education mode of career planning in colleges and universities faces the difficulties of outdated static, lack of individuality and disconnection from reality; On the other hand, with the rapid development of artificial intelligence technology, AI technology, with its unique advantages in data mining, intelligent analysis and personalized guidance, provides historic opportunities for the innovation of college students' career education. Therefore, this paper aims to systematically explore the innovative career planning education model of college students through AI empowerment, and analyze the main problems existing in the current career planning education in colleges and universities. On this basis, a new AI-empowered education model consisting of five modules: "accurate portrait, personalized planning, immersive experience, scientific decision-making, and dynamic adjustment of the whole process" is built. Then, it deeply analyzes the practical risks and challenges of this model in data leakage, algorithm bias, technology dependence, weakening of teachers' role, etc., and puts forward corresponding optimization paths, in order to provide theoretical reference and practical guidance for promoting the transformation of career planning education in colleges and universities to digital, intelligent, humanized and scientific directions.

KEYWORDS

Artificial intelligence; Empowerment; Career planning education

CITE THIS PAPER

JunDi Chen. AI empowers college students' career planning education: model construction, practical dilemmas and optimization paths. World Journal of Educational Studies. 2025, 3(5): 79-82. DOI: https://doi.org/10.61784/wjes3080.

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