International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Optimization Path of University Management Personnel Assessment Mechanism from the Perspective of Artificial Intelligence
Author(s) | Fangjian Shang |
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Country | China |
Abstract | Artificial intelligence technology is increasingly applied in various fields of university management, providing strong support for the intelligence, refinement, and scientific nature of university management work. However, in practical applications, there are still certain limitations and lag in the optimization of the assessment mechanism for university management personnel. Starting from the perspective of artificial intelligence, this paper systematically analyzes the current application of artificial intelligence in university management, thoroughly discusses the current situation and problems of the assessment mechanism for university management personnel, and proposes an optimization path for the assessment mechanism based on artificial intelligence. This includes optimizing the performance assessment index system for university management personnel based on artificial intelligence, optimizing the assessment methods for university management personnel based on artificial intelligence, and optimizing the assessment mechanism for university management personnel based on artificial intelligence. The research results not only help to improve the scientificity and effectiveness of the assessment of university management personnel but also provide an important theoretical and practical basis for promoting the intelligent transformation of university management. |
Published In | Volume 6, Issue 2, March-April 2024 |
Published On | 2024-04-05 |
Cite This | Optimization Path of University Management Personnel Assessment Mechanism from the Perspective of Artificial Intelligence - Fangjian Shang - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16336 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i02.16336 |
Short DOI | https://doi.org/gtp8kx |
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E-ISSN 2582-2160
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