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Journal of Vocational and Career Education
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 25032305     DOI : https://doi.org/10.15294/jvce
Core Subject : Education,
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Journal of Vocational and Career Education starting in 2024 migrates from OJS 2 to OJS 3 to better secure from various unwanted things, including journal hacking and so on. To submit, the author please visit the new website page of our journal at the link https://journal.unnes.ac.id/journals/jvce
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 3 Documents
 1 
Search results for , issue "Vol. 11 No. 2 (2026): December 2026" : 3 Documents clear
Implementation of a Deep Learning Approach with the Project Based Learning Model in the Element of Fashion Style and Design Development Turosidah, Umi Chasanah; Sutopo, Yeri; Wahyuningsih, Sri Endah; Ihsani, Ade Novi Nurul
Journal of Vocational and Career Education Vol. 11 No. 2 (2026): December 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jvce.v11i2.45302

Abstract

This study aims to examine the effects, improvements, and differences in the skills and work attitudes of students through the integration of a Deep Learning approach with the Project Based Learning PjBL model in the Style and Design Development element of the Fashion Design and Production subject at vocational high schools. The study employed a quasi-experimental method with a pretest posttest non-equivalent control group design. The participants consisted of 41 eleventh grade students from the Fashion Design Program at SMK Widya Praja Ungaran, including 21 students in the control class that implemented conventional PjBL and 20 students in the experimental class that implemented PjBL integrated with the Deep Learning approach. The research instruments consisted of a skills assessment rubric and a work attitude scale that had been validated by six experts using the Percentage of Agreement test. Data were analyzed using the N Gain test and the Independent Sample t Test. The findings indicate that the N Gain value of skills in the experimental class reached 65.4%, which falls within the moderate category and is higher than the control class with 53% in the less effective category. The N Gain value of work attitude in the experimental class reached 92% in the effective category, while the control class obtained 72% in the fairly effective category. The results of the t test show significant differences in skills t = 13.175, p = 0.000 < 0.05 and work attitudes t = 3.212, p = 0.003 < 0.05. These findings indicate that the integration of a Deep Learning approach within the PjBL model significantly improves student skills and work attitudes in vocational fashion design learning.
The Effectiveness of Digital Drawing Video Tutorials as Instructional Media Damayanti, Savira; Widjarnako, Dwi; Na’am, Muh Fakhriun
Journal of Vocational and Career Education Vol. 11 No. 2 (2026): December 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jvce.v11i2.45431

Abstract

Students have difficulty understanding the complex techniques of digital drawing without a clear and interactive visual guide. Video tutorials as media are an alternative solution that can provide the visualization in step-by-step and learning flexibility in accordance with students' individual learning pace. This study aims to analyze the effectiveness of video tutorials for using Adobe Illustrator as instructional media. The study used a quasi-experimental design. The subjects of the study were 11th-grade students majoring in Fashion Design at SMK Islam Sudirman 1 Ambarawa, consisting of two classes: XI Tabus 1 with 30 students and X Tabus 2 with 30 students. The techniques for collecting data were a validation sheet from media and material experts, a digital drawing skill test (posttest), and student and teacher questionnaires. Data were analyzed using descriptive statistics and an independent sample t-test to measure the effectiveness of the media. The results of the effectiveness test showed a significant difference in student skills between the experimental and control groups, as reflected in the mean posttest score. The statistical test showed a significance value [0.000] < 0.05, indicating that digital drawing video tutorials as media are effective for students' learning process. Digital drawing video tutorial as a media is feasible, effective, and received positive response from both students and teachers.
AI-Based Teacher Guidance in Vocational Schools:A Systematic Review on Generative AI for Holistic Student Development and Administrative Support Dymyati, Ria; Siswantoyo , Siswantoyo; Sudira, Putu; Fadlullah, Yanuar Agung; Maulana, Muhamad Riyan; Yusuf, Arya; Syahria, Yoga
Journal of Vocational and Career Education Vol. 11 No. 2 (2026): December 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jvce.v11i2.45441

Abstract

Generative artificial intelligence (GenAI) has emerged as a revolutionary technology in education, yet little is known about how GenAI can be specifically utilized to support teacher guidance and holistic student development, particularly in the context of vocational education. Evidence on how GenAI technology can enhance holistic student development in vocational schools, reduce administrative burdens, and support teacher guidance systems is explored in this systematic review. A synthesis of 45 peer-reviewed articles from the Scopus, Web of Science, and ERIC databases, published between 2020 and 2025 in accordance with PRISMA-ScR guidelines, was conducted. Five main thematic areas were identified through thematic analysis: (1) GenAI's function as a pedagogical assistant for individualized teacher support; (2) administrative automation that reduces teacher workload by thirty to forty percent; (3) natural language processing for qualitative analysis of student data; (4) comprehensive student development through career and character guidance; and (5) implementation challenges, including ethical issues, digital literacy gaps, and institutional readiness. These findings highlight GenAI's significant potential in addressing the teacher workload crisis, with approximately 40% of teachers' time spent on administrative tasks, while improving the quality of student guidance. However, its implementation still depends on resolving equity issues, developing robust institutional policies, and adopting human-centered pedagogical approaches. This review provides valuable insights for education practitioners, policymakers, and researchers seeking to implement sustainable AI-based guidance systems in vocational education. Recommendations include structured professional development programs, ethical frameworks for GenAI usage, and context-specific adaptation models for vocational schools, particularly in developing educational contexts.

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