Technological Integration and Soft Skill Synergy in Vocational Education: A Data-Driven Model for Enhancing Hairdressing Work Competence

Authors

DOI:

https://doi.org/10.56294/saludcyt20262638

Keywords:

Technological Integration, Soft Skills, Vocational Education, Employability, Hairdressing Competence

Abstract

Vocational education increasingly requires the integration of technical proficiency with adaptive interpersonal skills to prepare graduates for digitally oriented service industries. This study aimed to develop a data-driven model explaining how technological integration, soft skills, motivation, learning environment, and internship experience influence work competence among hairdressing students. A quantitative descriptive–correlational design was employed involving 237 students from four Indonesian vocational schools, using validated questionnaires and performance-based assessments. Descriptive findings indicate high levels of technical mastery (M = 82.4) and soft skills (M = 80.7), supported by very high motivation (M = 84.3) and internship experience (M = 85.6). Correlation results show significant associations between work competence and soft skills (r = 0.64), motivation (r = 0.71), and internship experience (r = 0.69). Multiple regression analysis identifies motivation (β = 0.42, p < 0.01) and internship experience (β = 0.37, p < 0.05) as the strongest predictors, with additional contributions from soft skills (β = 0.31, p < 0.05) and learning facilities (β = 0.28, p < 0.05), explaining 72% of variance in competence (R² = 0.72). Extended analysis shows that internships exceeding three months improved technical performance by 40 %, while technology-supported learning enhanced autonomy, reflective practice, and collaborative engagement. The findings demonstrate that vocational competence is a multidimensional construct shaped by psychological, experiential, and institutional factors. Integrating digital tools with structured soft skill development strengthens employability readiness, supports reflective and adaptive learning processes, and provides a comprehensive framework for preparing graduates to perform effectively in creative, client-centered professional environments.

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Published

2026-01-01

How to Cite

1.
Pritasari OK, Suparji S, Maspiyah M, Suhartini R, Arizal H, Ramadani AH, et al. Technological Integration and Soft Skill Synergy in Vocational Education: A Data-Driven Model for Enhancing Hairdressing Work Competence. Salud, Ciencia y Tecnología [Internet]. 2026 Jan. 1 [cited 2026 Jan. 18];6:2638. Available from: https://sct.ageditor.ar/index.php/sct/article/view/2638