E ISSN: 2583-049X
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International Journal of Advanced Multidisciplinary Research and Studies

Volume 6, Issue 3, 2026

Applying Technology to the Management and Production of Digital Learning Resources for Higher Education Training



Author(s): Thu-Trang Nguyen, Thi-Huong Tran, Hong-Thai Le

DOI: https://doi.org/10.62225/2583049X.2026.6.3.6346

Abstract:

Digital learning resources have become a strategic component of higher education, especially in open, blended and distance learning environments. However, many institutions still treat digital resources as digitized documents rather than as structured, interactive, measurable and reusable learning systems. This paper proposes a technology-supported management model for organizing the production, deployment, evaluation and continuous improvement of digital learning resources in higher education. Based on applied research and institutional implementation analysis, the study synthesizes theoretical foundations, practical requirements, production workflows, quality criteria and governance mechanisms for digital learning resources. The proposed model integrates pedagogical design, multimedia production, learning management systems, quality assurance, learning analytics and institutional governance. It includes a five-layer architecture, an eight-step production workflow, a digital learning resource lifecycle, a RACI responsibility matrix, evaluation criteria and key performance indicators. The findings suggest that effective digital learning resource development requires a shift from individual content creation to process-based digital resource governance. Such a shift supports standardization, quality control, reusability, learner support and data-driven improvement. The framework can be adapted by higher education institutions seeking to strengthen digital transformation, improve distance education quality and develop sustainable digital learning ecosystems.


Keywords: Digital Learning Resources, Learning Management System, Distance Education, Higher Education, Educational Technology, Learning Analytics, Quality Assurance

Pages: 681-686

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