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<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Facing the current severe employment situation, colleges and universities need to strengthen the cultivation and management of talents to meet the social...

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

Data publikacji: 26 lut 2024

Zakres stron: -

Otrzymano: 08 sty 2024

Przyjęty: 15 sty 2024

DOI: https://doi.org/10.2478/amns-2024-0432

Słowa kluczowe
Deep neural network, Multiscale convolutional kernel, Art design, Human-computer interaction system, Multimodal perception

© 2024 Xiaona Liang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Data publikacji: 26 lut 2024

Zakres stron: -

Otrzymano: 08 sty 2024

Przyjęty: 15 sty 2024

DOI: https://doi.org/10.2478/amns-2024-0432

Słowa kluczoweDeep neural network, Multiscale convolutional kernel, Art design, Human-computer interaction system, Multimodal perception

© 2024 Xiaona Liang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Deep neural network, Multiscale convolutional kernel, Art design, Human-computer interaction system, Multimodal perception