To address the issues of fragmented ability development, insufficient evaluation accuracy, and a monoculture of educational agents in college English teaching, this study constructs an AI-empowered smart teaching model. Grounded in the theoretical frameworks of the Production-Oriented Approach (POA) and the BOPPPS model, the proposed framework integrates artificial intelligence technologies to enable intelligent transformation throughout the entire teaching process. This is achieved through four key pathways: developing an AI-enhanced BOPPPS instructional model, designing a three-stage cultivation chain (foundational skills — applied practice — advanced innovation), establishing a data-informed evaluation system, and fostering a multi-agent collaborative education mechanism. Practical implementation has demonstrated that this model effectively enhances students’ English proficiency in comprehensive application and ideological and political literacy. It provides a replicable teaching paradigm for cultivating outstanding engineers with both global competence and patriotic values, offering a valuable reference for the intelligent transformation of college English teaching. 

Yu Yuan. Exploration and Practice of AI-empowered Smart Teaching Model for College English. Frontiers in Educational Research (2026), Vol. 9, Issue 4: 51-60. https://doi.org/10.25236/FER.2026.090409.

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