AI-Enabled Production-Oriented Approach: Construction and Implementation Paths for College English Teaching Design Principles

Abstract

The Production-Oriented Approach (POA) drives students’ learning processes through task-based scenarios. In the context of the deep integration of digital technology and education, AI-enhanced POA can further improve teaching quality. This paper explores the construction of teaching design principles and practical methods for university English teaching under the AI-enabled POA framework. It argues that teachers should base their practices on the theoretical foundations of POA while aligning with the empowering dimensions of AI technology, thereby establishing teaching design principles that focus on goal orientation, human-machine collaboration, data loops, authentic contexts, and dynamic evaluation. In practice, teachers should create a precise teaching-feedback-optimization loop through a teaching management support system that encompasses pre-class, in-class, and post-class activities.