Keywords
College english Teaching
Oral training
Automated grading
Gamified learning
Submitted : 2025-07-09
Accepted : 2025-07-24
Published : 2025-08-08
Abstract
This paper discusses the application and reflection of AI technology in college English teaching. Confronted with challenges like unmet personalized learning needs, unequal resource distribution, and teachers’ heavy workload in traditional classes, the author integrates AI tools and innovative scenarios based on teaching practice. Direct applications include Doubao AI’s hierarchical oral training, automated grading with error profiling, and Liulishuo’s phonetic correction. Gamified designs using large models (e.g., DeepSeek V3) enhance vocabulary and grammar learning. A “knowledge base-agent-workflow” framework is developed for complex tasks, combining knowledge construction, customized agents (e.g., Grammar Coach), and automated workflows. The study emphasizes AI’s role in transforming teaching to human-AI collaboration while stressing technology as a complement to educators for holistic student development.
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