Research on SVM Analysis Model of Influencing Factors of Employability of Graduates from Higher Vocational Colleges and Universities in Jiangxi Province DOI Open Access

K.T. Chen,

Jacquline Tham, Ali Khatibi

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

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

Language: Английский

Application of artificial intelligence for feature engineering in education sector and learning science DOI Creative Commons
Chao Wang,

Tao Li,

Zhicui Lu

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 110, P. 108 - 115

Published: Oct. 8, 2024

Language: Английский

Citations

5
Innovative Physics Pedagogy Using Ant Colony Optimization for Wind Power System Methodologies DOI Creative Commons

Natchanun Prainetr,

Supachai Prainetr

Published: Feb. 14, 2025

Language: Английский

Citations

0
Reliability analysis in curriculum development for social science education driven by machine learning DOI Creative Commons
Rui Mao

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 121, P. 19 - 26

Published: Feb. 25, 2025

Language: Английский

Citations

0
Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods DOI Creative Commons
Long‐Sheng Chen, Thao-Trang Huynh-Cam, Van-Canh Nguyen

et al.

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(5), P. 134 - 134

Published: May 19, 2025

Graduate employability remains a crucial challenge for higher education institutions, especially in developing economies. This study investigates the key academic and vocational factors influencing early employment outcomes among recent graduates at public university Vietnam’s Mekong Delta region. By leveraging predictive analytics, research explores how data-driven approaches can enhance career readiness strategies. The analysis employed AI-driven models, particularly classification regression trees (CARTs), using dataset of 610 from to predict employability. input included gender, field study, entrance scores, grade point average (GPA) scores four years. output factor was graduates’ (un)employment within six months after graduation. Among all factors, third-year GPA, final-year performance are most significant predictors employment. tested CARTs achieved highest accuracy (93.6%), offering interpretable decision rules that inform curriculum design support services. contributes intersection artificial intelligence by providing actionable insights universities, policymakers, employers, supporting alignment with labor market demands improving graduate outcomes.

Language: Английский

Citations

0
An automated stress detection model based on dual approach of clinical psychologist prediction and machine learning DOI
Diptimoni Narzary, Uzzal Sharma, Ashish Khanna

et al.

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

Language: Английский

Citations

1
Research on SVM Analysis Model of Influencing Factors of Employability of Graduates from Higher Vocational Colleges and Universities in Jiangxi Province DOI Open Access

K.T. Chen,

Jacquline Tham, Ali Khatibi

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

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

Language: Английский

Citations

0