Construction and application of a smart campus model integrating student management and educational innovation

This study focuses on the construction and application of smart campuses that integrate student management and educational innovation, and deeply analyzes how smart campuses can optimize student management processes and innovate education and teaching methods through advanced information technology. Through detailed data analysis, we found that the construction of smart campuses has achieved remarkable results in improving management efficiency. In comparison to the traditional student management model, smart campus leverages advanced data analysis technology to achieve precise tracking and evaluation of student behavior, learning status, and other pertinent information. This technological advancement has led to a noteworthy enhancement in management efficiency, with an approximate 30% increase. Furthermore, smart campus facilitates student management departments in promptly identifying and resolving issues faced by students through in-depth data analysis, ultimately leading to a significant improvement in student satisfaction. In terms of educational innovation, smart campus uses big data analysis to accurately locate students’ learning needs and points of interest, providing strong support for personalized teaching. According to statistics, in classes that adopt the smart campus teaching model, the average score of students has increased by 15%, and the degree of learning participation has also increased significantly. In addition, this study also focuses on data security and privacy protection issues in the construction of smart campuses, and proposes corresponding solutions. The construction and application of smart campuses that integrate student management and educational innovation not only improves management efficiency, but also promotes the innovation and development of education and teaching. In the future, we will continue to deepen research and promote the continuous optimization and upgrading of smart campus construction. The 15% improvement came from the one semester comparative experiment of the Taihu Lake University in Wuxi. 142 students in the experimental group used smart campus teaching, while 136 students in the control group used traditional teaching, covering computer, business administration, engineering and other majors. Statistical analysis confirms that the improvement in grades is significant, verifying the positive impact of smart campuses on learning outcomes.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-08-26
DOI
https://doi.org/10.1177/14727978251371174
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
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article

Construction and application of a smart campus model integrating student management and educational innovation

Yiran Jiang
Journal of Computational Methods in Sciences and Engineering
Engineering Education and Technology
article

Construction and application of a smart campus model integrating student management and educational innovation

Yiran Jiang
article en

Abstract

This study focuses on the construction and application of smart campuses that integrate student management and educational innovation, and deeply analyzes how smart campuses can optimize student management processes and innovate education and teaching methods through advanced information technology. Through detailed data analysis, we found that the construction of smart campuses has achieved remarkable results in improving management efficiency. In comparison to the traditional student management model, smart campus leverages advanced data analysis technology to achieve precise tracking and evaluation of student behavior, learning status, and other pertinent information. This technological advancement has led to a noteworthy enhancement in management efficiency, with an approximate 30% increase. Furthermore, smart campus facilitates student management departments in promptly identifying and resolving issues faced by students through in-depth data analysis, ultimately leading to a significant improvement in student satisfaction. In terms of educational innovation, smart campus uses big data analysis to accurately locate students’ learning needs and points of interest, providing strong support for personalized teaching. According to statistics, in classes that adopt the smart campus teaching model, the average score of students has increased by 15%, and the degree of learning participation has also increased significantly. In addition, this study also focuses on data security and privacy protection issues in the construction of smart campuses, and proposes corresponding solutions. The construction and application of smart campuses that integrate student management and educational innovation not only improves management efficiency, but also promotes the innovation and development of education and teaching. In the future, we will continue to deepen research and promote the continuous optimization and upgrading of smart campus construction. The 15% improvement came from the one semester comparative experiment of the Taihu Lake University in Wuxi. 142 students in the experimental group used smart campus teaching, while 136 students in the control group used traditional teaching, covering computer, business administration, engineering and other majors. Statistical analysis confirms that the improvement in grades is significant, verifying the positive impact of smart campuses on learning outcomes.

Journal of Computational Methods in Sciences and Engineering
Wuxi Taihu Hospital (CN)
Openalex Percentile: Top 67%
Engineering Education and Technology
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