Author(s)

Xiaolin Zhu ¹, Kuai Liang ¹

Affiliation(s)

¹ Shenzhen Polytechnic University, Shenzhen, 518055, China

Corresponding Author

Xiaolin Zhu

ABSTRACT

This article explores the application of big data technology in the management of college employment positions and how to enhance the employment quality of college graduates through big data-driven approaches. By analyzing the current status and trends of big data management for college employment positions at home and abroad, a set of big data-driven practical pathways for college employment position management is proposed, including data collection and management, employment position analysis and forecasting, precise employment services, and employment effect evaluation and feedback. The article also discusses the challenges faced by big data technology in college employment management and corresponding strategies. Through these practices, big data technology significantly enhances the personalization and precision of employment services and strengthens the alignment of educational content with market demands, providing a solid data support for college employment management.

KEYWORDS

Big Data Technology; College Employment Management; Employment Position Analysis and Forecasting

CITE THIS PAPER

Xiaolin Zhu, Kuai Liang, Big Data-Driven Management of Employment Positions in Universities: Research on the Practical Path of Improving the Employment Quality of College Graduates. Adult and Higher Education (2024) Vol. 6: 174-180. DOI: http://dx.doi.org/10.23977/aduhe.2024.060724.

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education