Exploration of AI Based Comprehensive Management System for Vocational College Students

Abstract

With the rapid development of information technology, artificial intelligence (AI) has gradually infiltrated various aspects of education, bringing unprecedented opportunities. This study focuses on the challenges faced by student management in vocational colleges in China, which bear the responsibility of cultivating high-quality skilled talents. The research aims to explore an AI-based comprehensive management system to improve management efficiency, optimize resource allocation, and promote student development. The study adopts a combination of literature review, questionnaire survey, case analysis, and system design. Through these methods, the current status and trends of AI in education management were reviewed, key demand points were identified, and a system framework including multiple modules such as student information management and personalized learning recommendation was designed. Simulation testing and practical application feedback were used to optimize the system. Results show that the AI-based system significantly improves management efficiency, reduces the rate of academic failure, promotes active learning, and enhances students' self-awareness and social adaptability. This system not only elevates the intelligence level of educational management but also accurately meets student needs, promoting educational equity and quality. It transforms passive management into active service, building a student-centered and efficient educational ecosystem. Future optimizations, such as strengthening interconnection with other educational platforms, hold promise for contributing to the high-quality development of higher vocational education.