Task-Based Teaching Method in Distance English Teaching

Abstract

With the rise of high-speed internet and interactive platforms, distance English teaching has become mainstream. However, challenges such as limited interaction, delayed feedback, and declining motivation persist. This study proposes a multi-modal task-collaboration model grounded in task-based language teaching that integrates voice, gesture, and text interactions within a three-stage cycle (pre-task activation–task execution–result feedback), enhanced by artificial intelligence-driven real-time diagnosis and data visualization. An eight-week action research study verified that the model significantly boosts learning motivation, collaboration efficiency, and language output complexity, while offering teachers effective monitoring tools. The study concludes with reflections on limitations and suggests future improvements, including generative artificial intelligence feedback and expanded cross-cultural tasks, aiming to provide a scalable paradigm for online English education.