Author(s)

JiaoJiao Sun¹, Fei Wang^2*, QuanDe Dong², Cui Wang¹, Yaliu Yang¹

Affiliation(s)

¹Business School, Suzhou University, Suzhou 234000, Anhui, China.

²Network and Information Center, Suzhou University, Suzhou 234000, Anhui, China.

Corresponding Author

Fei Wang

ABSTRACT

With the rapid development of artificial intelligence—especially Large Language Model (LLM)—and big data technologies, smart campus construction in universities faces new opportunities and challenges. This paper proposes a system architecture based on "data governance + model services + application integration" and conducts a benchmark analysis of its feasibility and effectiveness using representative university cases. The study also outlines a four-stage construction path: top-level design, driven by Data Middle Platforms, empowered by intelligent applications, and safeguarded by institutional mechanisms.In addition, it establishes a supporting framework composed of organizational coordination, institutional regulation, and data security compliance.The findings of this study provide both theoretical guidance and practical reference for system planning, technology selection, and scenario deployment in the construction of smart campuses in higher education.

KEYWORDS

University informatization; Large language model; Data middle platform; Digital transformation; Construction path

CITE THIS PAPER

JiaoJiao Sun, Fei Wang, QuanDe Dong, Cui Wang, Yaliu Yang. The construction path of smart campus driven by artificial intelligence and big data. World Journal of Economics and Business Research. 2025, 3(4): 47-53. DOI: https://doi.org/10.61784/wjebr3067.

REFERENCES

[1] Chen Chen. The Realistic Path of Empowering Smart Education with Large Model Technology. Technology Vision, 2023(18): 22-24.

[2] Zhang Zhiyong, Li Xiang. Research on the Path and Strategy of Smart Campus Construction. China Educational Technology, 2023(2): 25-32.

[3] Gao Feng, Zhang Heng. Research on Big Data-Driven University Informatization Development. Modern Educational Technology, 2021, 31(4): 47-54.

[4] Chen Hui. Construction of University Smart Campus Data Governance System. Information Recording Materials, 2020(12): 56-58.

[5] Zhao Pengfei. Exploration of Artificial Intelligence Application in University Smart Governance. Information Science, 2022, 40(9): 112-117.

[6] Bai Zhongxian, Zhang Bin. Large Language Models Empowering Internet Knowledge Services: Platform Architecture, Application Challenges, and Governance Paths. Chinese Journal of Educational Informatics, 2025, 31(07): 40-49.

[7] Wang Huan. Comparative Analysis of Smart Education Development in Domestic and Foreign Universities. Education Modernization, 2022(23): 134-138.

[8] Hu An, Li Ze. Research on the Path of Education Reform Based on Artificial Intelligence. Education Theory and Practice, 2022(4): 19-24.

[9] Zeng Wei, Zhao Qian. Construction and Practice Exploration of University Data Middle Platform. Information System Engineering, 2023(5): 75-78.

[10] Tang Lei. Design and Implementation Analysis of University AI Assistant. Software Guide, 2021, 20(9): 102-106.

[11] Li Nan, Zhou Feng. Research on Smart Teaching Platform for Personalized Learning. e-Education Research, 2022, 43(7): 34-40.

[12] Du Peng. Research and Practice of University Intelligent Q&A System. Chinese Journal of Educational Informatics, 2023(6): 66-69.

[13] Wang Sen. Practice and Reflection on the Construction of University Smart Service Platform. Higher Education Research, 2022, 43(3): 88-93.

[14] Yang Fan. Research on AI-based Campus Security Management System. Information and Computer, 2021, 33(15): 101-103.

[15] Liu Jin. The Evolution of Educational Large Models and Their Application Prospects in Universities. Educational Measurement and Evaluation, 2024(2): 41-45.

[16] Zhou Jing. Trends and Challenges of Education Digital Transformation. Modern Distance Education, 2023(10): 54-59.