MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202611100613 A) filed by Dr. Ravina Gupta; Dr. Moniza Ray S P; Dr. Sanjeev Kumar Sharma; Dr. Santosh Kumar Nayak; Lathakumari K R; Sugin S. V; Dr. Agalya Vt Raj; Dr. A. Geetha; Ms. C. Vinodhini; S. Peerani; Mr. V. Dinesh Kumar; and Chaitrashree S R on August 20, 2026, for Artificial Intelligence-Based Personalized Efl Student Performance Prediction And Learning Enhancement System.
Inventors include Dr. Ravina Gupta; Dr. Moniza Ray S P; Dr. Sanjeev Kumar Sharma; Dr. Santosh Kumar Nayak; Lathakumari K R; Sugin S. V; Dr. Agalya Vt Raj; Dr. A. Geetha; Ms. C. Vinodhini; S. Peerani; Mr. V. Dinesh Kumar; and Chaitrashree S R.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention provides an artificial intelligence-based system for predicting and improving the performance of students learning English as a Foreign Language. The system acquires academic records, assessment responses, language competency information, learning behavior, engagement characteristics and historical performance data to generate a dynamic multidimensional learner profile. An artificial intelligence prediction engine processes the learner profile to predict future performance and identify performance risk. A competency diagnosis module identifies specific language deficiencies, while a personalized learning intervention engine selects and sequences individualized learning resources and activities. Subsequent student performance is captured through a feedback and adaptation module, which compares actual outcomes with predicted outcomes and updates the learner profile, prediction parameters and intervention strategy. The system thereby establishes a continuous prediction, diagnosis, intervention and feedback cycle for adaptive EFL learning enhancement.
Disclaimer: Curated by HT Syndication.
