Knowledge profiling for personalized language learning

Abstract

There are 1.5 billion English-language learners worldwide. More and more of them use some digital tools and media to improve their skills. Online learning platforms show competitiveness compared to offline lessons. This work proposes a framework for creating a language learning platform for profiling user knowledge and providing personalized study materials. We describe the developed minimal viable product for vocabulary and tenses learning. We planned to test the solution through private tutoring, and, for now, we evaluated the recommendation system for prioritization of learned vocabulary on collected external data. Code of our MVP is stored in the GitHub repository.