Application and Analysis of Intelligent Student Work System in Colleges and Universities Based on Big Data

Abstract

This paper conducts an in-depth study on the application of big data technology in constructing smart student affairs systems at
universities. By analyzing emerging challenges and demands in university student management, it explores how big data can be leveraged to
achieve intelligent and precise administration. The article elaborates on the system's architectural design, functional modules, and core technological support, while demonstrating its practical value through real-world applications in areas such as behavioral analysis, mental health
monitoring, academic early warning and support, and career guidance. The research aims to provide theoretical references and practical approaches for enhancing administrative efficiency and optimizing educational services in higher education institutions, thereby advancing student affairs toward smarter and more scientific development.