Deep Learning Approach in Beauty Education: Strengthening Employability Skills for Sustainable Professional Development
DOI:
https://doi.org/10.55927/eajmr.v5i6.192Keywords:
Deep Learning, Employability Skills, Beauty Education, Vocational Education, Sustainable Professional DevelopmentAbstract
This study aimed to examine the implementation of the Deep Learning approach in Beauty Education and its contribution to strengthening employability skills for sustainable professional development. A quantitative approach using a quasi-experimental pretest–posttest control group design was employed. The findings revealed that the experimental group showed a significant increase in employability skill scores from 68.42 to 86.31, while the control group improved from 67.95 to 74.28. Statistical analysis using paired sample and independent sample t-tests demonstrated significant differences between both groups (p < 0.05). The study found that the Deep Learning approach significantly improved students’ communication, critical thinking, collaboration, adaptability, and professional responsibility through authentic and reflective learning experiences.
References
Biggs, J., & Tang, C. (2022). Teaching for Quality Learning at University (5th ed.). Open University Press.
Creswell, J. W., & Creswell, J. D. (2023). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th ed.). Sage Publications.
World Economic Forum. (2023). The Future of Jobs Report 2023. World Economic Forum.
Darmawang, D. (2022). Vocational education oriented in employability and entrepreneur skills to face challenges and competitiveness of graduates. Vocational Education Conference Proceedings
Jackson, D. (2022). Employability skill development in higher education: Trends and future directions. Higher Education Research & Development, 41(3), 789–803.
Pritasari, O. K., et al. (2026). Technological integration and soft skill synergy in vocational education: A data-driven model for enhancing hairdressing work competence. Salud, Ciencia y Tecnología, 6, 2638.
Rusmiyati, A., et al. (2026). Strengthening employability skills through authentic vocational learning environments. Edunesia Journal of Education, 7(2), 115–129.
Sudira, P. (2026). Deep learning implementation in vocational education for sustainable professional competence. Journal of Vocational Education Studies, 14(1), 44–59.
Sugiyono. (2022). Metode Penelitian Pendidikan. Bandung: Alfabeta.
Turosidah, H., et al. (2026). Integrating deep learning and project-based learning in vocational education: Impacts on professional competencies. Journal of Vocational Career Education, 11(1), 21–36.
OECD Vocational Education Report Partnership for 21st Century Learning. (2022). Framework for 21st Century Learning. Battelle for Kids.
UNESCO. (2024). Technical and Vocational Education and Training for the Future of Work. UNESCO Publishing.
World Economic Forum. (2023). The Future of Jobs Report 2023. World Economic Forum.
Yupelmi, M. (2026). Enhancing entrepreneurial competence in higher education beauty programs through STEAM and student engagement. European Journal of Educational Research.
Partnership for 21st Century Skills. (2019). Framework for 21st Century Learning.
World Economic Forum. (2023). Future of Jobs Report.
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Copyright (c) 2026 Sri Usodoningtyas, Ekohariadi Ekohariadi, Maspiyah Maspiyah, Luthfiyah Nurlaela, Tri Wrahatnolo, Ratna Suhartini
This work is licensed under a Creative Commons Attribution 4.0 International License.
