Research on the Construction and Key Technologies of a Central Platform for Smart Education Resources in Higher Education: A Case Study of the Practical Implementation of an Online Learning Platform at a University
DOI:
https://doi.org/10.70088/jsmmzn86Keywords:
central platform for smart education resources, educational resource sharing, platform construction, artificial intelligence (AI)Abstract
Amid the trend of digital transformation in education, the construction of a central platform for educational resources in higher education has emerged as a key initiative to enhance educational quality and optimize resource allocation. While universities worldwide are actively exploring digital transformation paths tailored to their unique needs, they continue to face challenges such as fragmented educational resources and a lack of synergy. Accordingly, this paper proposes a framework for constructing a central platform for smart education resources in universities. The core objective is to integrate diverse educational resources by establishing a platform system for data aggregation, governance, and sharing through unified standards and interfaces. The construction framework encompasses several layers, including infrastructure, a capability engine layer, an application service layer, an open capability layer, and business systems. It aims to enhance the efficiency of teaching and research, as well as the quality of administrative decision-making, by enabling efficient resource allocation, deep data mining, and leveraging artificial intelligence. This paper also introduces the key technologies in its construction, including: enhancing the platform's cloud-native capabilities, establishing standardized interface specifications, creating an atomic service model for technical capabilities, and comprehensively improving the platform's business responsiveness, capacity for scalable innovation, service quality, and the noteworthy new model of AI-powered content management. Looking ahead, the central platform for educational resources is expected to deepen its integration with emerging AI technologies, further expand the scope of resource sharing, and contribute to building a more open, efficient, and personalized smart education ecosystem, thereby providing a powerful impetus for the high-quality development of higher education.
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Copyright (c) 2025 Yulin Yang, Lu Wang, Cui Liu (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.