Optimizing the Information Management of Innovation and Entrepreneurship Education in Colleges and Universities Based on AI-Driven SDN-IoT Architecture

The increasing demand for innovation and entrepreneurship education in higher education institutions necessitates the modernization of information management systems. This study investigates the current state of informatization in Chinese universities and identifies gaps in the deployment of network infrastructure, utilization of digital resources and integration of educational management systems. Based on a survey of 497 participants from diverse institutions, the findings reveal significant fragmentation in existing infrastructures and limited support for entrepreneurial initiatives. In response, this paper proposes a conceptual framework leveraging Artificial Intelligence (AI), Software Defined Networking (SDN) and the Internet of Things (IoT) to optimize information management. The framework emphasizes iterative performance evaluation, resource personalization and strategic interoperability to support the transformation of traditional educational systems into intelligent, scalable and responsive ecosystems. While the model remains theoretical, it offers a robust foundation for future empirical validation and policy-driven implementation in digital education reform.

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Publication Details

Journal
International Journal of High Speed Electronics and Systems
Published
2025-06-07
DOI
https://doi.org/10.1142/s0129156425406254
Citations
2
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
4.96
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article

Optimizing the Information Management of Innovation and Entrepreneurship Education in Colleges and Universities Based on AI-Driven SDN-IoT Architecture

Chunyan Ma, Xue Cheng Lu
2 citations
International Journal of High Speed Electronics and Systems
Advanced Technologies in Various Fields
4.96
article

Optimizing the Information Management of Innovation and Entrepreneurship Education in Colleges and Universities Based on AI-Driven SDN-IoT Architecture

Chunyan Ma, Xue Cheng Lu
article en
2 citations

Abstract

The increasing demand for innovation and entrepreneurship education in higher education institutions necessitates the modernization of information management systems. This study investigates the current state of informatization in Chinese universities and identifies gaps in the deployment of network infrastructure, utilization of digital resources and integration of educational management systems. Based on a survey of 497 participants from diverse institutions, the findings reveal significant fragmentation in existing infrastructures and limited support for entrepreneurial initiatives. In response, this paper proposes a conceptual framework leveraging Artificial Intelligence (AI), Software Defined Networking (SDN) and the Internet of Things (IoT) to optimize information management. The framework emphasizes iterative performance evaluation, resource personalization and strategic interoperability to support the transformation of traditional educational systems into intelligent, scalable and responsive ecosystems. While the model remains theoretical, it offers a robust foundation for future empirical validation and policy-driven implementation in digital education reform.

International Journal of High Speed Electronics and SystemsVol. 35(04)
Zhejiang Wanli University (CN), Northwest Normal University (CN)
Openalex Percentile: Top 5%
Advanced Technologies in Various Fields
4.96
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Optimizing the Information Management of Innovation and Entrepreneurship Education in Colleges and Universities Based on AI-Driven SDN-IoT Architecture — Chunyan Ma, Xue Cheng Lu · International Journal of High Speed Electronics and Systems (2025) | TGRS Research Map | TGRS