Current Status and Recommendations of Talent Evaluation Mechanisms in Chinese Universities in the New Era

ZHU Baoshan; NI Yang; CHEN Xiaohong

doi:10.19979/j.cnki.issn10082689.2024080033

Volume 41 Issue 2

Feb. 2025

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Article Navigation > Journal of University of Science and Technology Beijing ( Social Sciences Edition) > 2025 > 41(2): 27-35

ZHU Baoshan, NI Yang, CHEN Xiaohong. Current Status and Recommendations of Talent Evaluation Mechanisms in Chinese Universities in the New Era[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(2): 27-35. doi: 10.19979/j.cnki.issn10082689.2024080033

Citation:

ZHU Baoshan, NI Yang, CHEN Xiaohong. Current Status and Recommendations of Talent Evaluation Mechanisms in Chinese Universities in the New Era[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(2): 27-35. doi: 10.19979/j.cnki.issn10082689.2024080033

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Current Status and Recommendations of Talent Evaluation Mechanisms in Chinese Universities in the New Era

doi: 10.19979/j.cnki.issn10082689.2024080033

1.
Personnel Division, University of Science and Technology Beijing, Beijing 100083, China
2.
Office of the Party Committee & Office of the President, University of Science and Technology Beijing, Beijing 100083, China
3.
School of Humanities and Social Science, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2024-05-07
Publish Date: 2025-02-01

Abstract

Abstract

It is imperative to deepening the reform of talent systems and mechanisms, especially addressing the issue of talent evaluation mechanisms in universities. Based on a text review of literature research and participatory observation through field research, this paper focuses on analyzing the theoretical foundations and characteristics of talent evaluation mechanisms in universities, as well as the current state and specific measures of talent evaluation reform in Chinese universities. Grounded in theoretical and practical research, this paper proposes the principles of talent classification management and scientific research quality priority, highlights the trends of addressing practical issues through talent and the integration of industry-university-research collaboration, and emphasizes the enhancement and suggestions for the application of artificial intelligence in education and teaching in the context of the new era. Theoretically, it helps provide a comprehensive understanding of the internal logic and theoretical connotations of talent evaluation mechanisms, enriching the research framework. Practically, it contributes to optimize and improve the talent evaluation mechanisms in universities, providing decision-making reference and guidance for managers and policymakers.
- universities,
- talent evaluation mechanisms,
- current status,
- recommendations

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References(28)

References

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