AI-Enhanced Vocational School Management Framework: A Systematic Review and Novel Implementation Model for Indonesian SMK Daily Operations.
Keywords:
artificial intelligence, vocational education management, educational administration, AI implementation framework, smart school systemsAbstract
The integration of artificial intelligence (AI) in vocational school management presents transformative opportunities for enhancing daily operational efficiency, particularly in resource-constrained contexts. This systematic literature review examines AI applications in educational management and proposes a novel AI-Enhanced Vocational School Management Framework (AI-VSMF) specifically designed for Indonesian Sekolah Menengah Kejuruan (SMK) daily operations. Through a comprehensive analysis of 129 high-quality Scopus-indexed publications (2020-2026), we identified key AI technologies and management applications across administrative automation, student performance monitoring, resource optimization, and decision support systems. The proposed AI-VSMF framework integrates four core modules: (1) Intelligent Administrative Operations, (2) Smart Student Management, (3) Adaptive Learning Analytics, and (4) Resource Optimization Engine. Contextualized for SMK Bondowoso, Indonesia, the framework emphasizes cost-effective, scalable solutions suitable for resource-limited vocational schools. This study contributes a practical implementation roadmap that addresses infrastructure constraints, technical capacity, and cultural adaptation needs specific to Indonesian vocational education contexts. The framework offers actionable pathways for SMK administrators to leverage AI technologies for improving operational efficiency, student outcomes, and institutional competitiveness in the evolving digital education landscape.
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