MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061175 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Ai Based Personalized Learning Recommendation System For Students.
Inventors include Anjali Devi M; Saravanaprabhu K; Satheesh Kumar S; Sathishwaran G; Shalini M; Shushanth E; Sowmya G; and Thenmozhi S.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An Al-based personalized learning recommendation system for students enhances academic performance through adaptive learning strategies. The system collects data on student performance, assessment scores, learning pace, and engagement patterns. Artificial intelligence algorithms analyze this data to identify strengths, weaknesses, and learning preferences. Based on insights, the system provides personalized learning resources, exercises, and study plans. Real-time feedback helps students improve knowledge retention and skill development. Educators receive actionable insights to tailor teaching methods and interventions. Historical data supports trend analysis and progress tracking. Cloud or loT integration enables remote access and continuous monitoring. Secure data storage ensures privacy and confidentiality of student information. Continuous learning algorithms refine recommendations over time for better accuracy. The system promotes self-paced learning and enhances student engagement. Automated reporting reduces administrative workload for teachers. Low-latency processing ensures timely suggestions and updates. This intelligent system provides a scalable, adaptive, and effective solution for personalized education management.
Disclaimer: Curated by HT Syndication.
