THE IMPROVEMENT OF READING COMPREHENSION VIA AI PLATFORMS

Abstract

The enormous potential of AI-driven adaptive texts to improve students' reading comprehension abilities is explored in this research. It demonstrates how these tools, by properly matching the demands of each individual student, may greatly enhance learning results and support individualised teaching. Through an analysis of the concepts and methods of implementation of adaptive texts, the study offers educators a useful manual for successfully incorporating AI technology into regular instruction. All facets of adaptive text-based teaching are thoroughly covered in this article, from determining the requirements of the students, choosing the right resources, creating lesson plans, and conducting interactive discussions to tracking learning outcomes and encouraging self-directed learning. It emphasises how deeply technology and educational ideologies are intertwined. The study concludes by urging the education industry to aggressively investigate AI's educational applications and keep a close eye on its developments in order to collaboratively build a future of teaching that is creative, efficient, and individualised