MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073846 A) filed by Vellore Institute Of Technology on June 15, 2026, for “a Dropout Prevention System For An E-Learning Platform”.
Inventors include Archana Tamizharasan; Kinjal Ghosh; Anirudh S; and Smaranika Dutta Pattnaik.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The invention relates to a computer-implemented method and system for preventing student dropout in an e-learning platform by leveraging multimodal interaction data and intelligent analytics. The method includes transforming student data into behavioural and cognitive features, predicting dropout risk along with an estimated time to dropout, and generating personalized intervention plans using an agentic artificial intelligence layer. Candidate interventions are evaluated through counterfactual simulation to identify the most effective action, which is then delivered via suitable communication channels. The system continuously monitors student responses and updates its intervention strategy using a reward-based learning mechanism. Additionally, cognitive metrics such as hesitation index and cognitive load score are computed to improve prediction and intervention accuracy, thereby enabling proactive and adaptive learner retention. Fig 1 to 15.
Disclaimer: Curated by HT Syndication.
