人工智能驱动的新型实用英语教材的结构与实现
Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence
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中文总结 AI 辅助
该研究提出五层架构的AI驱动新型实用英语教材，经186名非英语专业本科生8周教学测试，可提升学习准确率与口语成绩、减少教师批改时间，兼具课程稳定性与个性化学习优势。
中文摘要 AI 辅助
人工智能正将应用英语材料的形式从固定的纸质序列转变为可诊断学习者、推荐任务并提供形成性反馈的自适应学习系统。本文研究人工智能驱动的新型实用英语教材的结构与应用，提出五层架构：知识图谱、学习者画像、任务生成、反馈编排及教师端治理。该原型在186名非英语专业本科生中进行了8周教学测试，与静态数字教材相比，所提系统将单元完成准确率从72.4%提升至84.9%，口语任务平均分提高10.8分，教师批改时间减少31.6%。因此，人工智能驱动的教材可在维持课程稳定性的同时提供个性化学习路径、丰富练习材料及可追溯的课堂数据。
英文摘要
Artificial intelligence is changing the form of applied English materials from fixed paper sequences to adaptive learning systems that can diagnose learners, recommend tasks, and provide formative feedback. This paper studies the structure and application of a new practical English textbook driven by artificial intelligence. A five-layer architecture is proposed: knowledge mapping, learner profiling, task generation, feedback orchestration, and teacher-side governance. A prototype was tested on 186 non-English-major undergraduates for eight weeks of teaching. Compared with a static digital textbook, the proposed system increased the unit completion accuracy from 72.4% to 84.9%, raised the average score for speaking tasks by 10.8 points, and reduced the teacher's correction time by 31.6%. Therefore, an AI-driven textbook can maintain the stability of the curriculum while providing personalised learning paths, rich practice materials and traceable classroom data.
发表机构
- Air Force Logistics Academy（空军勤务学院）
机构由 AI 辅助整理，请以论文原文为准。
