Applying Multi-Scale Model to Construct a Talent Introduction and Cultivation Framework for Universities: A Multi-Scale Analysis of Influencing Factors

Authors

  • Jianting Pei
  • Zhaofeng Yu
  • Shujie Wei
  • Jingjing Zhao

DOI:

https://doi.org/10.6918/IJOSSER.202507_8(7).0020

Keywords:

Multi-scale model, Talent introduction, Talent cultivation, Talent retention, University development.

Abstract

With the increasing intensity of global higher education competition, talent introduction and cultivation in universities have become crucial for enhancing their core competitiveness. This paper constructs a multi-scale fusion model for university talent introduction and cultivation from a multi-scale fusion perspective, which includes three components: precision talent introduction, personalized cultivation, and scientific retention. By comprehensively considering multi-scale and multi-dimensional factors such as talent employment needs, employer demands, and external policies, this study explores the specific implementation paths of each module. The aim is to provide universities with scientific, systematic, and precise talent introduction and cultivation strategies to comprehensively improve the level and quality of the talent team, while offering references for the theoretical and practical development of university talent management.

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References

[1] N. Yang: Multi-Scale Feature Fusion Algorithm and Its Application in Intelligent Mineral Deposit Prediction, Bulletin of Mineralogy, Petrology and Geochemistry, Vol. 44 (2025) No. 3, p. 478-491+452.

[2] Q. H. Zhu, J. Yang, R. Y. Huang, et al.: Multi-Scale Feature Convolutional Neural Network Model Based on Partial Convolution, Radio Communications Technology, Vol. (2025) No. , p. 1-11.

[3] Y. F. Wang, H. J. Zhang, & J. He: Research on Small Computing Power Aggregation and Application of Multi-Source Heterogeneous Data in Intelligence Research, Information Studies: Theory & Application, Vol. 47 (2024) No. 7, p. 81-87.

[4] Y. Y. Li, J. Xin, & J. Cong: Research and Application of Multi-Scale Population Spatial Big Data Aggregation Model in Map Visualization, Bulletin of Surveying and Mapping, Vol. (2024) No. 3, p. 145-150.

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Published

2025-06-25

Issue

Section

Articles

How to Cite

Pei, J., Yu, Z., Wei, S., & Zhao, J. (2025). Applying Multi-Scale Model to Construct a Talent Introduction and Cultivation Framework for Universities: A Multi-Scale Analysis of Influencing Factors. International Journal of Social Science and Education Research, 8(7), 176-181. https://doi.org/10.6918/IJOSSER.202507_8(7).0020