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arXiv AI By Ya Wang, Lei Zhang, Xueguang Yang, Bo Chen

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

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Artificial intelligence is transforming applied English materials from fixed paper sequences into adaptive learning systems that diagnose learners, recommend tasks, and provide formative feedback. This study presents a five‑layer architecture—knowledge mapping, learner profiling, task generation, feedback orchestration, and teacher‑side governance—for a new AI‑driven practical English textbook. In an eight‑week trial with 186 non‑English‑major undergraduates, the system improved unit completion accuracy from 72.4% to 84.9%, raised speaking task scores by 10.8 points, and cut teacher correction time by 31.6%.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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