MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082605 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering Technology on July 04, 2026, for Adaptive Vocabulary Learning System Using Recall-Driven Analytics And Dynamic Review Scheduling.
Inventors include Mr. Vorem Kishore; Ms. Mudavath Prathiksha; Ms. Padamata Eesha Sree; Mr. Racharla Srinidh; Ms. Ravuri Venkata Sri Harshitha; and Ms. Amitha Tadi.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention aims to provide an Adaptive Vocabulary Learning System Using Recall Driven Analytics and Dynamic Review Scheduling, which can improve vocabulary acquisition and retention by means of various personalized learning tools. The system can collect user interaction data with vocabulary and store a history of searched words to analyze user learning patterns. By means of recall-driven analytics, the system can calculate the strength of previously learned vocabulary based on user interaction history and identify which vocabulary may not be easily recalled by users. By means of dynamic review scheduling, the system can provide optimal review timing for users to improve their vocabulary acquisition. In addition, the system can provide various learning insights, such as recall strength analysis, priority vocabulary, and word difficulty, to improve user vocabulary acquisition more efficiently. By means of various tools, including vocabulary search, interaction history analysis, and dynamic review, the present invention can provide a more effective vocabulary acquisition tool compared with conventional vocabulary acquisition tools.
Disclaimer: Curated by HT Syndication.
