AI-Empowered Reconstruction of Higher Education Ecosystems Teaching Innovation, Management Transformation, and Implementation Pathways

Xing Zhong

doi:10.63313/IJSSEH.9025

Authors

Xing Zhong School of Foreign Language Literature, Zhaoqing University, Zhaoqing, Guangdong 526061, China Author

DOI:

https://doi.org/10.63313/IJSSEH.9025

Keywords:

Artificial Intelligence, Higher Education, Teaching Innovation, Management Transformation, Ecological Reconstruction

Abstract

With the rapid advancement of technologies such as generative AI and large language models (LLMs), artificial intelligence has evolved from an auxiliary tool to a core element within the higher education ecosystem. By systematically reviewing AI applications across higher education teaching domains (mathematics, foreign languages, physical education, etc.) and educational management domains (one-stop communities, student education, etc.), this study analyzes the underlying technical frameworks and value logic supporting AI. It reveals current shortcomings in humanities, technological limitations, application disparities, and other practical challenges. Concurrently, it emphasizes the construction of collaborative mechanisms, refinement of regulatory systems, and enhancement of competency cultivation across three dimensions, while optimizing and improving standardized frameworks.

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