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This is a Experimental Study study.

Design of a Machine Learning-Based Information Integration System for Local Applied Undergraduate Colleges

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The system significantly improves management efficiency and decision-making quality in local colleges.
Core modules include student information management, teaching resources, teacher assessment, and decision support.
Machine learning functionalities enable student performance prediction and teaching resource optimization.
The design addresses performance, reliability, and security for high-concurrency access in education.

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The system enhances educational management efficiency using machine learning and big data processing techniques.

Yijian Zhang (2025) studied this question.

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