This paper delves into the immense potential of AI-driven adaptive texts in enhancing students’ reading comprehension skills. It reveals how these technologies can significantly improve learning outcomes by precisely aligning with individual learner needs, thus promoting personalized instruction. By examining the working principles and implementation strategies of adaptive texts, the paper provides educators with a practical guide to effectively integrate AI technology into everyday teaching. From assessing student needs, selecting appropriate tools, designing instructional plans, and facilitating interactive discussions, to monitoring learning progress and fostering autonomous learning, this paper comprehensively covers all aspects of adaptive text-based teaching. It underscores the deep integration of technology with educational philosophies. Ultimately, the paper calls for the education sector to continuously monitor the advancements in AI technology and actively explore its applications in education, jointly creating a personalized, efficient, and innovative teaching future.

Xiaoqi He. Enhancing Reading Comprehension with AI-Generated Adaptive Texts. International Journal of New Developments in Education (2024), Vol. 6, Issue 7: 46-52. https://doi.org/10.25236/IJNDE.2024.060708.

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