MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611058854 A) filed by Dr. Shradha Jain; Dr. Nitisha Srivastava; Dr. Rubeena Bano; Dr. Monisha; Ms. Suruchi Chopra; Dr. Anju Shukla; Ms. Chahat Malhotra; and Mr. Suraj Parashar on May 08, 2026, for Pedagogical Intelligence Framework For Personalized Learning Outcome Optimization In Higher Education Institutions.
Inventors include Dr. Shradha Jain; Dr. Nitisha Srivastava; Dr. Rubeena Bano; Dr. Monisha; Ms. Suruchi Chopra; Dr. Anju Shukla; Ms. Chahat Malhotra; and Mr. Suraj Parashar.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention a Pedagogical Intelligence Framework (100) for personalized learning outcome optimization in higher education institutions. The system (100) comprises a Learner Data Ingestion and Profiling Module (110) that constructs dynamic multi-dimensional Learner Profile Vectors from multi-modal institutional data, an AI-Driven Adaptive Content Engine (120) that generates personalized learning pathways using reinforcement learning over pedagogically annotated content, a Predictive Outcome Modelling Engine (130) employing ensemble machine learning including gradient-boosted models and long short-term memory networks to forecast academic risk, a Faculty Intervention Management Interface (140) that presents explainable AI-driven intervention recommendations to instructors through a human-in-the-loop workflow, an Institution-Level Curriculum Analytics Dashboard (150) for programme-level governance, and a Central Data Repository and Knowledge Base (160) integrating all modules through a hybrid database architecture. The framework is characterized by end-to-end integration of real-time psychometric inference, adaptive content scaffolding, predictive risk stratification, and faculty intervention management within a single unified institutional system.
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