Digital Learning Ecosystems For Vocational Education: A Data-Driven Framework For Enhancing Quality Management Mechanisms
DOI:
https://doi.org/10.55640/eijmrms-05-11-06Keywords:
Digital learning ecosystem, Vocational education, Quality management, learning analyticsAbstract
The rapid digitalization of vocational education has expanded opportunities to improve teaching quality, strengthen outcome transparency, and support evidence-based institutional management. To harness these benefits, coherent frameworks are needed to connect technological, pedagogical, and administrative components. This study develops a data-driven digital learning ecosystem model designed to enhance quality management in vocational education. The framework integrates learning analytics, adaptive feedback processes, competency-based assessment, teacher digital capacity development, data governance, and continuous improvement mechanisms. Using document analysis, expert interviews, and international comparative review, the research identifies key requirements for effective ecosystem implementation, including unified data standards, interoperable platforms, and robust infrastructure. The findings highlight that well-structured data use and platform integration are central to achieving transparent monitoring and responsive decision-making. The model offers practical guidance for institutions and policymakers seeking to strengthen the quality and efficiency of vocational training through advanced digital tools.
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