<?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>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/EIR.v4i7.16120</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Effectiveness and Boundaries of Generative Artificial Intelligence-Assisted Development of Ideological and Political Education Resources in College English Courses</title><url>https://artdesignp.com/journal/EIR/4/7/10.26689/EIR.v4i7.16120</url><author>LiuTiantian</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>7</issue><history><date date-type="pub"><published-time>2026-07-26</published-time></date></history><abstract>The rapid spread of generative artificial intelligence has opened a new technical path for developing ideological and political education resources in College English courses, while also triggering ongoing debate over educational effectiveness and value risks. Rather than making an either-or binary judgment, this study takes &amp;ldquo;conditional efficacy&amp;rdquo; as its core analytical perspective. It disentangles the operating logic and preconditions of AI-assisted resource development from three levels&amp;mdash;the efficiency mechanism, the adaptation mechanism, and the human&amp;ndash;AI collaboration structure&amp;mdash;and examines actual educational outcomes and limitations across three dimensions: resource supply, student participation, and teacher development. It then sorts out the generative logic and potential risks of cognitive, value, and ethical boundaries, and finally proposes a systematic governance path that regulates efficacy through boundaries, providing a practical framework for college English teachers to use AI in developing curriculum-based ideological and political education resources in a standardized and efficient manner.</abstract><keywords>Generative artificial intelligence,College English,Curriculum-based ideological and political education,Resource development,Application boundaries</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Cui HX, 2025, Exploration of Strategies for Developing Ideological and Political Education Resources in College English Based on Textbooks. Taste &amp;amp; Classics, (5): 126&amp;ndash;128.
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