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All Journal Jurnal Media Computer Science Journal of Vocational and Career Education
Dymyati, Ria
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Computer Science & IT Other

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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.
Multimodal Learning in AIoT Systems: Sensor Fusion and Vision-Based Intelligence Wulanjari, Agnes Prima; Dymyati, Ria; Indar Bismoko, Indar Bismoko; Fajaryati, Nuryake; Utami, Pipit
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.11040

Abstract

This study evaluates the effectiveness of multimodal learning in Artificial Intelligence of Things (AIoT) systems, focusing on the integration of sensor fusion and computer vision for classification tasks. A systematic review and meta-analysis were conducted on studies published between 2020 and 2025. Thirteen studies met the inclusion criteria; however, only six provided comparable quantitative data due to inconsistent baseline reporting and evaluation practices. The results indicate that multimodal approaches generally improve accuracy compared to unimodal baselines when comparable evaluations are available, with an average increase of 8.88% (95% CI: 5.33%–12.44%, p < 0.001). High heterogeneity was observed, influenced by domain, sensor configuration, and model architecture. These findings suggest that multimodal effectiveness is conditional and depends on modality complementarity, fusion strategy, and system-level constraints
Co-Authors Fadlullah, Yanuar Agung Indar Bismoko, Indar Bismoko Maulana, Muhamad Riyan Nuryake Fajaryati Pipit Utami Putu Sudira Siswantoyo , Siswantoyo Syahria, Yoga Wulanjari, Agnes Prima Yusuf, Arya