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Volume 3,Issue 9

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26 September 2025

Algorithmic Inclusion or Professional Displacement? Reconstructing Teacher Agency in Rural Small-Scale Schools in the Age of Artificial Intelligence and Demographic Contraction

Xingyuan He1
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1 Affiliated Senior High School of Handan University, Handan 056000, Hebei, China
EIR 2025 , 3(8), 20–24; https://doi.org/10.18063/EIR.v3i8.911
© 2025 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

As China navigates the unprecedented intersection of a “demographic winter” (negative population growth) and a “digital spring” (the explosion of Generative AI), rural basic education faces a critical juncture. The demographic hollowing has rendered traditional “scale-based” educational models obsolete in rural areas, leaving small-scale schools as the primary morphology. Concurrently, the rapid deployment of Artificial Intelligence in Education (AIEd) promises to bridge the resource gap but poses a new existential threat: the potential “deskilling” of rural teachers and the reduction of their role to mere “system operators.” Drawing upon the theory of Socio-Technical Systems and the Ecological Approach to Teacher Agency, this paper argues that the survival of rural education depends not on replacing teachers with algorithms, but on a fundamental reconstruction of teacher agency. We propose a transition from the “knowledge transmitter” to the “algorithmic orchestrator,” “contextual curator,” and “emotional anchor.” This study posits that only through this “human-in-the-loop” transformation can rural schools leverage AI to achieve personalized learning while preserving the cultural and emotional integrity of rural education.

Keywords
Rural education
Artificial intelligence (AIEd)
Teacher agency
Human-AI collaboration
Demographic contraction
Digital divide
References

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