<?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.v4i4.1926</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Transformation of Teaching Competencies of University English Teachers from the Perspective of Human-Machine Collaboration</title><url>https://artdesignp.com/journal/EIR/4/4/10.18063/EIR.v4i4.1926</url><author>WangXinghua</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-04-26</published-time></date></history><abstract>Rapid advances in artificial intelligence are fundamentally transforming the educational landscape, making human-machine collaborative teaching an inevitable trend in university English education reform. This paper examines the development of teaching skills among university English instructors within the human-machine collaboration framework, identifying current shortcomings in their pedagogical capabilities, including inadequate information technology application skills, insufficient personalized instructional design, and monolithic assessment methods. It highlights the new demands that collaborative approaches place on teachers&amp;rsquo; teaching philosophies, technological integration, resource allocation, and instructional process monitoring. Recommended measures include implementing a tiered training system, establishing teaching practice platforms, refining evaluation mechanisms, and fostering a supportive culture. These findings provide theoretical guidance and practical insights for the professional development of university English educators in the modern era, contributing to the overall enhancement of teaching quality.</abstract><keywords>Human-machine collaboration, College English teachers, Teaching competence, Professional transformation, Educational digitalization</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Yin L, Xu M, Li Y, 2026, From &amp;ldquo;Knowledge Transmission&amp;rdquo; to &amp;ldquo;Human-Machine Collaboration&amp;rdquo;: Exploration and Reflection on AI-Driven Educational Transformation. Life Education, (12): 8&amp;ndash;11 + 29.
[2] Xiao C, Xiao L, Wang J, 2026, Human-Machine Collaboration in the Intelligent Era Empowers the Redefinition of University Teachers&amp;rsquo; Roles. Western Quality Education, 12(08): 112&amp;ndash;116.
[3] Liu S, Lu N, 2026, The Constitutive Logic and Development Path of University Teachers&amp;rsquo; Composite Competencies from a Human-Machine Collaborative Perspective. Higher Architectural Education, 35(02): 1&amp;ndash;8.
[4] Cheng R, 2026, Research on the Pathways of Generative AI Empowering Collaborative Human-Machine Teaching Models in College English Education. Journal of Hubei Open Vocational College, 39(05): 145&amp;ndash;146 + 152.
[5] Xu Z, 2026, AI Technology Empowering College English Teaching. Cai Zhi, (07): 13&amp;ndash;16.
[6] Wang X, 2026, Research on Innovative Strategies for College English Oral Teaching Under the Empowerment of Artificial Intelligence. Modern English, (04): 66&amp;ndash;68.
[7] He L, 2026, Research on the Human-Machine Collaborative Teaching Model for College English Classroom Instruction: A Case Study of the &amp;ldquo;English Writing&amp;rdquo; Course at Guangzhou Technology and Business College. Modern English, (03): 35&amp;ndash;37.
[8] Liu Q, 2026, Research on the Irreplaceability of College English Teachers&amp;rsquo; Educational Role in the AI Era. Proceedings of the 2026 Higher Education Development Forum (Volume I), 2.
[9] Wang N, 2025, Research on the Human-Machine Collaborative Feedback Model in College English Writing Instruction. Journal of Tianjin Sino-German University of Applied Sciences, (05): 61&amp;ndash;65.
[10] Dong W, 2025, Research on Enhancing the Teaching Agency of College English Teachers under the New &amp;ldquo;Trinity&amp;rdquo; Educational Paradigm. Modern English, (16): 47&amp;ndash;50.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
