FROM DIGITALIZATION TO INTELLIGENCE: CURRENT STATUS AND FUTURE TRENDS OF UNIVERSITY OA SYSTEMS
DOI:
https://doi.org/10.35631/IJMOE.830007Keywords:
University B/S Architecture, Data Mining, Digitalization, Education Informatization, Intelligent Decision Support, OA Systems, Smart CampusAbstract
The rapid evolution of information technology has catalyzed a paradigm shift in higher education administration, driving a transition from foundational digitalization toward the era of the "Smart Campus." This paper provides a comprehensive review of this evolution, analyzing the current architectural standards and forecasting future developmental trajectories of University Office Automation (OA) systems. Currently, the landscape is dominated by B/S (Browser/Server) architectures and modular frameworks like SpringBoot, which have successfully mitigated traditional inefficiencies by centralizing data management and automating core workflows such as course scheduling and grade entry. However, a critical analysis reveals that while these systems excel at data storage and process automation, they often lack the analytical depth required for strategic governance. Consequently, this study identifies a pivotal industry trend: the migration from static administrative tools to dynamic, intelligent decision-support platforms. We explore emerging innovations, including the integration of data mining algorithms for analyzing student performance, the adoption of mobile-first ecosystems for real-time accessibility, and the implementation of robust security models like Role-Based Access Control (RBAC). Ultimately, the paper concludes that the future of university administration lies in establishing interconnected, intelligent ecosystems that empower leadership with actionable insights, thereby optimizing resource allocation and significantly enhancing the quality of educational management in the context of Education Informatization 2.0.
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