Knowledge profiling for personalized language learning

dc.contributor.author	Tarasov, Anton
dc.date.accessioned	2021-09-08T08:24:32Z
dc.date.available	2021-09-08T08:24:32Z
dc.date.issued	2021
dc.identifier.citation	Tarasov, Anton. Knowledge profiling for personalized language learning: Bachelor Thesis: manuscript / Anton Tarasov; Supervisor: Oles Dobosevych; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2021. – 49 p.: ill.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/2860
dc.description.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.	uk
dc.language.iso	en	uk
dc.subject	language learning	uk
dc.subject	online learning platforms	uk
dc.title	Knowledge profiling for personalized language learning	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk