Volume 4,Issue 3
Research on Role Transformation and Competency Reconstruction Methods of College English Teachers in the Era of Artificial Intelligence
As artificial intelligence technology increasingly permeates every facet of higher education, the fundamental landscape of college English instruction—including pedagogical models and talent development standards—has undergone profound transformations. The traditional teacher role and competency framework for college English educators have become obsolete, failing to meet modern pedagogical demands. Drawing on theories such as posthumanism and distributed cognition, this study examines the structural shifts in English teaching driven by AI, identifies core pathways for teacher transformation, and proposes actionable competency restructuring strategies. These insights aim to equip college English instructors with practical tools for adapting to intelligent teaching environments and achieving professional growth, ultimately advancing English education toward higher quality.
[1] Chen P, 2025, Teaching Adaptation Strategies for Chinese University English Teachers in the AI Era. Advances in Social Science and Culture, 7(5): 49-56.
[2] Zhao J, Zhao L, Li Z, et al., 2025, Exploring College English Teachers’ Self-Perceptions and Their Students’ Perceptions of Digital Literacy in the AI Era. Region - Educational Research and Reviews, 7(2): 154-158.
[3] Jingwei Z, Jie H, 2025, The Construction and Practice of the “Human-Machine Collaboration” Teaching Model for College English Teachers in the AI Era. Global Vision Research, 2(1).
[4] Xin H, 2025, Research on the Reform Path of College English Teaching in the Era of Artificial Intelligence. Journal of Contemporary Educational Research, 9(1): 135-139.
[5] Liu Y, Feng H, 2024, Innovative Ideas and Approaches for College English Teaching in the Era of Artificial Intelligence. Journal of Artificial Intelligence Practice, 7(3): 16-23.
[6] Song N, 2024, Discussion on the Innovation of College English Teaching in the Era of Artificial Intelligence. Artificial Intelligence Technology Research, 2(4): 18-24.