Applied Mathematics and Nonlinear Sciences (Jan 2024)
Research on SVM Analysis Model of Influencing Factors of Employability of Graduates from Higher Vocational Colleges and Universities in Jiangxi Province
Abstract
With the expansion of higher vocational colleges and universities, the difficulty of employment of graduates has become an increasingly serious problem in the development of society. The reason for this phenomenon, in addition to the total pressure, lies in the difference between the knowledge, ability, and quality of college students and the needs of employers. This paper crawls the employment information data of graduates of higher vocational colleges and universities from relevant websites, combines the text classification method based on the SVM analysis model to mine the system of graduates’ employment ability, and takes it as a survey scale. Then Jiangxi Province’s higher vocational graduates were selected as the research object. After testing the reliability and validity of the scale, the scale, combined with independent samples, T-test method regression analysis, and other mathematical and statistical methods to explore the factors affecting the employment ability of graduates of higher vocational colleges and universities in Jiangxi Province. Among them, there is no significant difference in the overall employability in terms of gender and specialty category (P>0.05), while there is a significant difference in terms of having or not having work experience (P<0.05). The training objectives and strategies significantly contribute to the improvement of the professional competence of higher vocational graduates, which is a key factor in the influence of employability. Accordingly, students actively improve themselves at the same time. Colleges and universities should develop training objectives and strategies with the needs of enterprises to give students the necessary career guidance in a timely manner and other countermeasure suggestions.
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