Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence

人工智能驱动的新型实用英语教材结构与实现

Abstract: 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.

摘要： 人工智能正在改变应用英语教材的形式，使其从固定的纸质序列转变为能够诊断学习者、推荐任务并提供形成性反馈的自适应学习系统。

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.

本文研究了人工智能驱动的新型实用英语教材的结构与应用。文中提出了一种五层架构：知识图谱、学习者画像、任务生成、反馈编排以及教师端管理。

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%.

研究人员对186名非英语专业本科生进行了为期八周的教学原型测试。与静态数字教材相比，该系统将单元完成准确率从72.4%提高到了84.9%，口语任务平均分提高了10.8分，并将教师的批改时间缩短了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.

因此，人工智能驱动的教材既能保持课程的稳定性，又能提供个性化的学习路径、丰富的练习材料以及可追溯的课堂数据。