MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096579 A) filed by Mr. M. A. Raghu; Dr. Wranton Perez R; Dr. G. Padmaja Rani; Mrs. G. Lakshmi Bhuvaneshwari Devi; and Mr. Ansar Ahmed Siddiqui on August 10, 2026, for System And Method For Digital English Language Teaching Using Multimodal Learner Analytics And Adaptive Feedback Modules.
Inventors include Mr. M. A. Raghu; Dr. Wranton Perez R; Dr. G. Padmaja Rani; Mrs. G. Lakshmi Bhuvaneshwari Devi; and Mr. Ansar Ahmed Siddiqui.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to a computer-implemented system and method for digital English language teaching using multimodal learner analytics and adaptive feedback modules. The invention acquires learner interaction information including speech, textual responses, pronunciation samples, engagement indicators, behavioral metrics, and educational performance data from one or more learner devices. The acquired information is preprocessed and analyzed to generate comprehensive learner profiles representing language proficiency, learning behavior, engagement characteristics, and competency progression. An artificial intelligence prediction engine estimates future learner performance and proactively recommends instructional interventions. An adaptive feedback module dynamically generates personalized pronunciation guidance, grammar correction, vocabulary enhancement, writing assistance, listening exercises, reading activities, and conversational practice according to continuously updated learner profiles. An instructional content management module automatically modifies lesson sequencing, assessment complexity, and revision schedules to optimize learning efficiency. The invention further provides cloud-based synchronization, instructor analytics dashboards, secure learner information management, and scalable educational deployment, thereby significantly improving English language acquisition through intelligent personalized digital instruction. Accompanied Drawing [FIGS. 1-2]
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