MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641119754 A) filed by Dr N V V S Narayana; Dr Raja Sekhar P; Dr Ch N K Bhavani; Dr Rupa Selvaraj; V Padmaraju; and Rakesh Gorle on October 06, 2026, for A Computer-Implemented System And Method For Psychologicallyadaptive Learning Path Generation Using Cognitive And Behavioural Learning Patterns.
Inventors include Dr N V V S Narayana; Dr Raja Sekhar P; Dr Ch N K Bhavani; Dr Rupa Selvaraj; V Padmaraju; and Rakesh Gorle.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: The present invention relates to a computer-implemented system and method for psychologically adaptive learning path generation using cognitive and behavioural learning patterns. The system receives learner interaction data including performance, response accuracy, response latency, task completion, content navigation, repetition, revision, engagement, and assessment characteristics. A cognitive pattern analysis module determines learning characteristics including comprehension, concept mastery, retention, learning rate, and error recurrence, while a behavioural pattern analysis module determines engagement, persistence, hesitation, repetition, skipping, and interaction patterns. The determined characteristics are combined to generate an individualized learner profile and estimate a current learning state. An adaptive learning path generator selects and sequences learning content according to the learner profile, prerequisite relationships, difficulty, and learning state. The system continuously monitors subsequent learner interactions and dynamically modifies content sequence, difficulty, pacing, reinforcement, revision, assessment, and feedback. The invention thereby provides a continuously adaptive and personalized learning pathway responsive to evolving cognitive and behavioural learning characteristics.
Disclaimer: Curated by HT Syndication.
