MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641106538 A) filed by Mr. M. Muthu Swamy Nathan; Ms. V. Visalakshi; Dr. Afsha Jamal; Dr. B. Mariappan; Dr. D. Ambika; Dr. K. Lavanya; Dr. R. Kanagaselvam; and Dr. K. N. Umadevi on September 04, 2026, for Artificial Intelligence-Based System And Method For Evaluating The Impact Of Bilingual Education On English Language Proficiency.
Inventors include Mr. M. Muthu Swamy Nathan; Ms. V. Visalakshi; Dr. Afsha Jamal; Dr. B. Mariappan; Dr. D. Ambika; Dr. K. Lavanya; Dr. R. Kanagaselvam; and Dr. K. N. Umadevi.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention relates to an artificial intelligence-based system and method for evaluat-ing the impact of bilingual education on English language proficiency. The system acquires learner interaction information from educational activities and determines usage of English and one or more supporting languages during instruction and learner responses. An English profi-ciency assessment engine evaluates multiple language dimensions including vocabulary, gram-mar, reading, listening, writing, speaking, pronunciation, fluency, sentence construction, and contextual comprehension. A longitudinal learning database stores bilingual exposure infor-mation and successive proficiency measurements over multiple learning sessions. An artificial intelligence evaluation engine processes the longitudinal information to identify relationships between bilingual instructional exposure and changes in English proficiency while considering learner-specific baseline performance and other available learning variables. The system can analyze written responses using natural language processing and spoken responses using speech- processing techniques to identify language errors, pronunciation characteristics, fluency, re-sponse latency, lexical development, and syntactic changes.
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