MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085617 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on July 13, 2026, for Machine Learning-Based System For Predicting Problem-Solving Capability From Knowledge And Cognitive Skill Metrics.
Inventors include Mr. Karnam Akhil; Dr. S. Nagini; Karthik K; and Dumpeti Sai Pradham Kanth.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention introduces a comprehensive Augmented Reality (AR) and Virtual Reality (VR) based cognitive remediation framework designed to support slow learners in undergraduate Computer Science and Engineering programs by transforming abstract C programming concepts into immersive, interactive gamified experiences. By addressing core cognitive challenges such as attention deficits, memory retention, and problem-solving difficulties, the system creates adaptive learning modules that leverage narrative- driven scenarios in a virtual spaceship environment to teach decision-making structures like IF, IF-ELSE, Nested IF-ELSE, and ELSE-IF ladders. Developed using Unity for game logic and Meta Quest 2 for VR deployment, the platform integrates pre-assessment surveys for learner profiling, real-time performance tracking, and personalized feedback mechanisms to foster engagement, confidence, and skill mastery. This approach overcomes the limitations of traditional remediation methods by providing multisensory, motivating alternatives that promote deeper conceptual understanding and long-term retention, ultimately empowering slow learners to achieve academic success in programming fundamentals.
Disclaimer: Curated by HT Syndication.
