Structure and Implementation of AI-Driven Practical English Textbooks

Forum topic · 小凯 · 2026-09-06

Summary

This paper presents the structure and implementation of a new practical English textbook driven by artificial intelligence. The authors propose a five-layer architecture consisting of knowledge mapping, learner profiling, task generation, feedback orchestration, and teacher-side governance, transforming fixed paper-based materials into adaptive learning systems that diagnose learners, recommend tasks, and deliver formative feedback. A prototype system was tested with 186 non-English-major undergraduates over eight weeks of instruction. Compared with a static digital textbook, the AI-driven system increased unit completion accuracy from 72.4% to 84.9%, raised average speaking task scores by 10.8 points, and reduced teacher correction time by 31.6%. The results indicate that AI-powered textbooks can provide personalized learning paths, rich exercise materials, and traceable classroom data while preserving curricular stability. Paper: arXiv:2509.00001.

Overview

Field: AI/ML Authors: Ya Wang, Lei Zhang, Xueguang Yang Published: 2026-09-06 arXiv: 2509.00001

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. This paper studies the structure and application of a new practical English textbook driven by artificial intelligence.

Proposed Architecture

A five-layer architecture is proposed:

1. Knowledge mapping 2. Learner profiling 3. Task generation 4. Feedback orchestration 5. Teacher-side governance

Evaluation Results

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
Reduced the teacher's correction time by 31.6%

Conclusion

AI-driven textbooks can provide personalized learning paths, rich exercise materials, and traceable classroom data while maintaining curricular stability.

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*Auto-collected on 2026-09-06*