Semantic Scholar Open Access 2024 1 sitasi

Research on career planning prediction of college students based on grey model

Yachao Yang F. Meng Yiming Zhang Hongyu Pan Shengxiao Su

Abstrak

College students' career planning involves defining their career goals, exploring suitable career paths, College students' career planning involves defining their career goals, exploring suitable career paths, and implementing strategies to attain these goals after assessing both subjective and objective factors. As a vital component of human resource management, career planning has recently become the subject of psychological research methods. A comprehensive examination of this topic can establish a foundation for understanding college students' career planning, facilitating accurate self-assessment and career positioning, enhancing their self-awareness and evaluative capabilities, and fostering a strong career identity. Guiding college students' career development directions necessitates anticipating their potential future career pathways. Effective forecasting techniques offer educators a sound basis for smooth guidance by supplying impartial data and theoretical support. This paper delves into the issues prevalent in collegiate vocational education, advocating the application of the Grey Prediction Model's principles. It examines the elements and dimensions influencing the career direction of college students, subsequently constructing the prediction model, implementing the algorithm, and testing the predictive approach through case studies. Research indicates that the Grey Prediction Algorithm excels in forecasting moderate-sized data sets, and reveals a diversified trend in college students' career choices. Nowadays, students prioritize the alignment of personal interests and values over conventional notions of job stability and salary levels.

Penulis (5)

Y

Yachao Yang

F

F. Meng

Y

Yiming Zhang

H

Hongyu Pan

S

Shengxiao Su

Format Sitasi

Yang, Y., Meng, F., Zhang, Y., Pan, H., Su, S. (2024). Research on career planning prediction of college students based on grey model. https://doi.org/10.1145/3707292.3707355

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1145/3707292.3707355
Akses
Open Access ✓