Article Gold Open Access 2024

Research on the Educational Path of College Students' Career Planning Based on SWOT Analysis

Applied Mathematics and Nonlinear Sciences
Journal · Vol. 9 · Issue 1 · Art. 20240432
Abstract

Facing the current severe employment situation, colleges and universities need to strengthen the cultivation and management of talents to meet the social demand. Under the guidance of SWOT theory, this paper combs out the system model of college students' career planning. And from the four aspects of advantages, disadvantages, opportunities and challenges, it constructs the evaluation index system of college students' career planning based on SWOT. Combined with the principle of triangular fuzzy number, the evaluation model of college students' career planning based on fuzzy network analysis is constructed. Based on this, college students in 8 colleges and universities are selected as research objects. After collecting relevant data, the weights of each index are calculated, and the career planning of college students in 8 colleges and universities is comprehensively evaluated and analyzed from the perspectives of different genders and majors. The results show that the indicators of the strengths level have the most significant influence on college students' career planning, with a weight of 0.357. Only college 3 has a comprehensive score of college students' career planning greater than 90, male college students (72.76) have a slightly higher complete score of career planning than female college students (71.81), and students of science (76.92) have a somewhat higher comprehensive score of career planning than students of liberal arts (74.68). Combined with the analysis of this paper, college students' career planning education can be improved by guiding them to establish precise career planning, improving specialized guidance services, and increasing recruitment activities. © 2023 Xiaona Liang, Na Li and Xin Su, published by Sciendo.

Keywords

Author Keywords

Art Design Deep neural network Human-computer interaction system Multimodal perception Multiscale convolutional kernel

Index Keywords

Students Human computer interaction career planning Colleges and universities Arts computing College students SWOT analysis Fuzzy sets Arts designs Fuzzy neural networks College students' careers Convolutional kernel Human-computer interaction system Multimodal perception Multiscale convolutional kernel Deep neural networks
Author Affiliations
Hebei University of Engineering, Handan, Hebei, China
Funding & Acknowledgements
No funding information
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