AI-DRIVEN REFORM OF CAREER PLANNING IN CHINESE HIGHER EDUCATION: A SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.35631/IJEPC.1163033Keywords:
Artificial Intelligence (AI), AI-Driven Career Planning, Chinese Higher Education, Conceptual Framework, EmployabilityAbstract
Despite the widespread attention to the potential of AI in career preparation, there is a lack of systematic reviews of its application to career planning in Chinese higher education. To fill this research gap, this paper aims to systematically review existing research findings on AI-driven reform of career planning in Chinese higher education. This study, through analysis of 128 articles published on CNKI and Google Scholar between 2010 and 2025, found that the application of AI-based career planning in Chinese higher education is still in its infancy. Meanwhile, this study developed a conceptual framework for AI-driven career planning based on CIP theory. Finally, the review identifies gaps that make suggestions for further research in this area by systematically classifying and integrating the existing literature on the application of artificial intelligence in career planning within Chinese higher education，thereby providing a theoretical foundation for understanding how AI empowers career preparation.
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