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Construction of Artificial Intelligence-driven Education Management Informatization System and Its Practice in College Management

  
Mar 24, 2025

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Wangang, C. (2023) proposed a model for a digital education management information system that integrates wireless communication with BP neural networks to enhance the efficiency and effectiveness of educational management. This approach is similar to other studies that have utilized BP neural networks in educational contexts, such as the continued education management system research and the application of BP neural networks in network security evaluation in higher education. WangangC. (2023) proposed a model for a digital education management information system that integrates wireless communication with BP neural networks to enhance the efficiency and effectiveness of educational management. This approach is similar to other studies that have utilized BP neural networks in educational contexts, such as the continued education management system research and the application of BP neural networks in network security evaluation in higher education.Search in Google Scholar

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Zhang, J., & Wang, Y. (2023, November). The integration of big data into college student information management has been explored to enhance the personalization of education and improve the quality of student services. Big data analytics enable the analysis of student behavior patterns, which can inform more tailored educational strategies and resources. Additionally, the development of educational data platforms can facilitate the storage and analysis of vast amounts of student data, providing insights that support better decision-making and resource allocation in educational institutions.. In International Symposium on Intelligence Computation and Applications (pp. 253-261). Singapore: Springer Nature Singapore. ZhangJ. & WangY. (2023, November). The integration of big data into college student information management has been explored to enhance the personalization of education and improve the quality of student services. Big data analytics enable the analysis of student behavior patterns, which can inform more tailored educational strategies and resources. Additionally, the development of educational data platforms can facilitate the storage and analysis of vast amounts of student data, providing insights that support better decision-making and resource allocation in educational institutions.. In International Symposium on Intelligence Computation and Applications (pp. 253-261). Singapore: Springer Nature Singapore.Search in Google Scholar

L. Wang’s research, presented at the International Conference on Signal and Information Processing, Networking and Computers, explores the interactive innovation of student management information, leveraging internet analysis technology. This aligns with the broader discourse on the innovative strategies for student management in the digital age, as evidenced by the references. L. Wang’s research, presented at the International Conference on Signal and Information Processing, Networking and Computers, explores the interactive innovation of student management information, leveraging internet analysis technology. This aligns with the broader discourse on the innovative strategies for student management in the digital age, as evidenced by the references.Search in Google Scholar

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Zhang, H., Dai, W., & He, J. (2024) conducted an analysis on the effectiveness of information-based teaching in enhancing learning achievements among Chinese higher vocational college students. Their study aligns with the growing emphasis on personalized and data-driven educational approaches, as evidenced by the increasing adoption of differentiated teaching strategies and the use of technology to tailor educational content to individual student needs (Reference 0). Additionally, ***plements the findings of other studies that have shown the positive impact of information-based teaching on student satisfaction and pass rates, despite no significant difference in test scores (Reference 4). The broader context of these studies highlights the importance of adapting teaching methods to the information technology environment, which is crucial for the development of innovative abilities and professional skills in higher vocational education (Reference 2). ZhangH.DaiW. & HeJ. (2024) conducted an analysis on the effectiveness of information-based teaching in enhancing learning achievements among Chinese higher vocational college students. Their study aligns with the growing emphasis on personalized and data-driven educational approaches, as evidenced by the increasing adoption of differentiated teaching strategies and the use of technology to tailor educational content to individual student needs (Reference 0). Additionally, ***plements the findings of other studies that have shown the positive impact of information-based teaching on student satisfaction and pass rates, despite no significant difference in test scores (Reference 4). The broader context of these studies highlights the importance of adapting teaching methods to the information technology environment, which is crucial for the development of innovative abilities and professional skills in higher vocational education (Reference 2).Search in Google Scholar

In the era of big data, the informationization construction of teaching management in universities has become a pivotal aspect of educational modernization. The research by Zhao (2024) delves into the strategies and outcomes of integrating big data technologies into university teaching management, aiming to enhance the overall quality and efficiency of educational processes. In the era of big data, the informationization construction of teaching management in universities has become a pivotal aspect of educational modernization. The research by Zhao (2024) delves into the strategies and outcomes of integrating big data technologies into university teaching management, aiming to enhance the overall quality and efficiency of educational processes.Search in Google Scholar

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