<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">EIR</journal-id><journal-title-group><journal-title>Educational Innovation Research</journal-title></journal-title-group><issn>3029-1844</issn><eissn>3029-1852</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/EIR.v3i8.911</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Algorithmic Inclusion or Professional Displacement? Reconstructing Teacher Agency in Rural Small-Scale Schools in the Age of Artificial Intelligence and Demographic Contraction</title><url>https://artdesignp.com/journal/EIR/3/8/10.18063/EIR.v3i8.911</url><author>HeXingyuan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>8</issue><history><date date-type="pub"><published-time>2025-09-26</published-time></date></history><abstract>As China navigates the unprecedented intersection of a &amp;ldquo;demographic winter&amp;rdquo; (negative population growth) and a &amp;ldquo;digital spring&amp;rdquo; (the explosion of Generative AI), rural basic education faces a critical juncture. The demographic hollowing has rendered traditional &amp;ldquo;scale-based&amp;rdquo; 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 &amp;ldquo;deskilling&amp;rdquo; of rural teachers and the reduction of their role to mere &amp;ldquo;system operators.&amp;rdquo; Drawing upon the theory of&amp;nbsp;Socio-Technical Systems&amp;nbsp;and the&amp;nbsp;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 &amp;ldquo;knowledge transmitter&amp;rdquo; to the&amp;nbsp;&amp;ldquo;algorithmic orchestrator,&amp;rdquo;&amp;nbsp;&amp;ldquo;contextual curator,&amp;rdquo;&amp;nbsp;and&amp;nbsp;&amp;ldquo;emotional anchor.&amp;rdquo;&amp;nbsp;This study posits that only through this &amp;ldquo;human-in-the-loop&amp;rdquo; transformation can rural schools leverage AI to achieve personalized learning while preserving the cultural and emotional integrity of rural education.</abstract><keywords>Rural education, Artificial intelligence (AIEd), Teacher agency, Human-AI collaboration, Demographic contraction, Digital divide</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] National Bureau of Statistics of China, 2023,&amp;nbsp;Statistical Communiqu&amp;eacute; of the People&amp;rsquo;s Republic of China on the 2022 National Economic and Social Development, China Statistics Press, Beijing.
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