Intellectual Property India Publishes Patent Application for 'AI-Driven System For Generating Adaptive English Language Teaching Materials Based On Learner Proficiency Levels' Filed by Dr. D. Abinaya; Dr. P. B. Chella Gomathi; Mr. Monish Tukaram Chavan; M. Sathyaprabha; Mr. A. Thiyagu; Ms. A. Mercy Kiruba Glory; Mr. B. Navaneetha Krishnan; Ms. J. Mownisha; and Dr. X. Princess Carmel Mary

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641055348 A) filed by Dr. D. Abinaya; Dr. P. B. Chella Gomathi; Mr. Monish Tukaram Chavan; M. Sathyaprabha; Mr. A. Thiyagu; Ms. A. Mercy Kiruba Glory; Mr. B. Navaneetha Krishnan; Ms. J. Mownisha; and Dr. X. Princess Carmel Mary, Tirupathi, Andra Pradesh, on April 30, for 'ai-driven system for generating adaptive english language teaching materials based on learner proficiency levels.'

Inventor(s) include Dr. D. Abinaya; Dr. P. B. Chella Gomathi; Mr. Monish Tukaram Chavan; M. Sathyaprabha; Mr. A. Thiyagu; Ms. A. Mercy Kiruba Glory; Mr. B. Navaneetha Krishnan; Ms. J. Mownisha; and Dr. X. Princess Carmel Mary.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "An artificial intelligence-driven system for generating English language teaching materials with adaptive difficulty is disclosed. The system integrates natural language processing, machine learning, and user performance analytics to create personalized educational content. It comprises a content generation module for producing exercises and reading materials, a learner profiling module for analyzing user performance, an adaptive difficulty engine for adjusting content complexity, and a feedback analysis component for continuous improvement. The system dynamically generates teaching materials tailored to the learner's proficiency level, learning pace, and performance history. It continuously updates learner profiles based on real-time interaction data, enabling precise adjustment of difficulty levels. The invention enhances engagement and learning efficiency by providing contextually relevant, diverse, and progressively challenging content. The system is scalable and can be deployed across web and mobile platforms, supporting integration with existing educational frameworks. It reduces manual workload for educators while improving learning outcomes for students. This invention provides a novel and effective solution for personalized language learning, overcoming limitations of traditional static teaching methods and existing digital platforms."

Disclaimer: Curated by HT Syndication.