With the increasing complexity of college student work management, traditional task scheduling methods have made it difficult to meet the needs of real-time and efficiency. This study aims to explore the application of a real-time task scheduling framework based on the Hash algorithm in student work management to improve management efficiency and response speed. By analyzing the characteristics of student work management, a Hash algorithm framework suitable for real-time task scheduling is designed, which can dynamically allocate tasks and ensure the balance and efficiency of task processing. The experimental results show that after adopting this framework, the task scheduling time is shortened by 35% on average, and the task processing success rate is improved by 25%. In addition, the framework performs well in dealing with unexpected tasks, can quickly adjust resource allocation, and ensures the continuity and stability of student work management. This study not only enriches the application theory of real-time task scheduling in student work management but also provides effective technical support for practical management.
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