MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621010558 A) filed by Symbiosis International, Pune, Maharashtra, on Jan. 31, for 'an ai-powered adaptive microlearning system with learning momentum tracking for personalized educational roadmaps.'
Inventor(s) include Dr. Nilesh Shelke; Parthiv Abhani; and Aishi De.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-powered adaptive microlearning system (100) for generating personalized educational roadmaps. The system comprises a user interface module (110) for receiving learning topic inputs, an AI engine module (120) utilizing a large language model API for generating structured microlearning content, a resource curation module (140) for enriching content with supplementary materials, an adaptive sequencing module (150) for ordering modules based on dependencies and complexity, and a learning analytics module (160) implementing a novel Learning Momentum Index (LMI). The LMI is computed using the formula LMI = (A x 0.5) + (C x 0.3) + (E x 0.2) / 100, where A represents Activity Level, C represents Completion Rate, and E represents Engagement Consistency. The system dynamically adjusts content complexity through a continuous feedback loop based on computed LMI values, enabling personalized learning experiences that adapt to individual learner engagement patterns. The invention addresses limitations of conventional e-learning platforms by combining AI-driven content generation with quantified learning momentum tracking."
Disclaimer: Curated by HT Syndication.
