MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043403 A) filed by Mangalam College Of Engineering, Ettumanoor, Kerala, on April 5, for 'an artificial intelligence-driven adaptive learning and academic performance prediction system using machine learning algorithms and student behavioral data analytics.'
Inventor(s) include Divya S B; Eldhose K Paul; Ashwani Vijayachandran; Tincy K Thomas; Praveena Prakash; Jins S; and Diya Rose Joseph.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence driven adaptive learning and academic performance prediction system designed to enhance educational outcomes through personalized instruction and predictive analytics. The system integrates machine learning algorithms with student behavioral data analytics to continuously monitor learning activities, engagement patterns, and performance metrics. Based on collected data, the system dynamically adapts learning content, difficulty levels, and instructional strategies to suit individual learner needs. Predictive models analyze historical and real-time data to forecast academic performance and identify potential risks of underachievement. The system provides timely feedback, recommendations, and interventions to improve learning efficiency and retention. It supports educators in decision-making by offering insights into student progress and learning trends. The invention is applicable in schools, universities, and online learning platforms, enabling data-driven education. It improves academic performance, enhances engagement, and provides a scalable solution for modern personalized learning environments."
Disclaimer: Curated by HT Syndication.
