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Research on the Development Mechanisms of AI Literacy for Higher Education Faculty in the Intelligent Education Ecosystem

Author(s)

Jue Wang, Baiyi Li*

Affiliation(s)

School of Business, Wuhan Huaxia Institute of Technology, Wuhan, Hubei, China *Corresponding Author.

Abstract

The rapid integration of AI into higher education has reshaped the intelligent education ecosystem, demanding systemic mechanisms for faculty AI literacy development. This study bridges educational ecology and professional development theories to propose a "environmental input–agent transformation–ecological output" framework, addressing the disconnect between technological evolution and faculty readiness. Key challenges include fragmented institutional integration, ethical risks from algorithmic dominance, and regional disparities. Through institutional analysis and multi-agent simulation, we identify a three-dimensional mechanism: driving forces, coupling pathways and synergistic effects. The study offers a governance toolkit for China’s plan-driven context, balancing algorithmic efficiency with humanistic values while aligning with China’s Education Modernization 2035.

Keywords

AI Literacy; Intelligent Education Ecosystem; Educational Ecology; Co-evolution Mechanisms; Faculty Professional Development

References

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