Volume 2,Issue 3
具身认知理论下AI 赋能的大学英语听说教学路径探索
针对大学英语听说教学中长期存在的“学用分离”与“开口焦虑”困境，本研究基于具身认知理论，构建了人工智能赋能的“场景— 交互— 迁移”（SIT）教学模型。该模型利用生成式AI 技术创设高保真多模态具身情境，通过高频次、低压力的双向人机互动提供个性化即时反馈，并引导学生将虚拟环境中习得的语言技能迁移至真实世界的交际任务中。为期一年的纵向教学实验数据显示，SIT 模型显著提升了学生的口语流利度与准确性，有效降低了外语学习焦虑（FLAS 降幅达18%），课程满意度超过90%。研究证实，该模式为人机协同环境下的语言教学改革提供了可复制的实践范式，有助于提升学生的跨文化交际胜任力。
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