An AI-driven textbook can maintain the stability of the curriculum while providing personalised learning paths, rich practice materials and traceable classroom data.
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. 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.
The PERFORM-AI Framework is proposed, which integrates personalization, engagement, responsive feedback, formative assessment, originality, reflective learning, monitored AI use, and independent transfer, and concludes that the most effective model for English language learning is not AI replacing teachers but an instr...
C. Shabharishwaran, P. Kavinkumar, B.Manojkumar· Stanzaleaf International Jou...· 0 citations
The impact of AI in ELT is explored, its impact on language abilities is considered, and the shifting nature of the teacher's role, its challenges and future possibilities are discussed.
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The paper argues that the future of English Language Teaching should not be organized around technological replacement of teachers but around a human-centred partnership between teachers, learners, and intelligent systems.
V. V. Malinee, Syed Mujahid· Stanzaleaf International Jou...· 0 citations
A methodology that is focused on the needs of the learner and on the learning goals, checks whether or not artificial intelligence provides a real instructional benefit, and then assigns the appropriate responsibilities to the technology, the learner, and the teacher.
Gohar Hambardzumyan· Universal Library of Languag...· 0 citations
A Large Language Model-assisted personalized writing feedback system that significantly improves grammatical accuracy, language diversity, and learner engagement while reducing instructors’ feedback workload is developed.
Di Wang, Lili Zhang· Advanced Electromagnetics· 0 citations
A Model-Driven Development framework that integrates Web technology and artificial intelligence (Web-AI-I), and builds a lightweight, cross-device English intelligent teaching application through the Web native technology stack to solve the coupling problem between teaching logic and Web application architecture throug...
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