MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083176 A) filed by Sathyabama Institute Of Science And Technology on July 07, 2026, for Deep Reinforcement Learning-Based Self-Evolving Educational Intelligence Framework For Personalized Learning.
Inventors include Ms Rajapriya S P; Dr. B. Lalithadevi; Ms. Triveni K; Dr. A. Sinduja; Ms. Gayathri Sivakumar; and Ms. Abirami G.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The rapid advancement of artificial intelligence and intelligent educational technologies has created a growing demand for adaptive learning systems capable of delivering highly personalized educational experiences. To address this need, a Deep Reinforcement Learning-Based Self-Evolving Educational Intelligence Framework for Personalized Learning is proposed. This framework integrates deep reinforcement learning with large language models, knowledge graphs, learning analytics and multimodal educational data to continuously assess learner behaviour, cognitive performance, preferences and knowledge gaps. Based on real-time feedback, the system automatically recommends personalized learning paths, optimizes instructional content, adjusts assessment difficulty and provides intelligent tutoring support. The proposed framework evolves continuously through reward-based learning, enabling it to refine teaching strategies and improve effectiveness over time. The architecture supports predictive performance analysis, adaptive content generation, explainable AI-based recommendations and real-time progress monitoring while ensuring data privacy and secure learner profiling. The framework is suitable for online education, higher education, professional skill development, corporate training and lifelong learning environments. Experimental evaluations demonstrate improved learner engagement, knowledge retention, academic performance and learning efficiency compared to traditional adaptive learning systems. Its scalable architecture supports deployment across cloud, edge and hybrid educational platforms. Overall, the proposed deep reinforcement learning-based self- evolving educational intelligence framework represents a next-generation AI-powered solution for intelligent, personalized and continuously evolving digital education.
Disclaimer: Curated by HT Syndication.
