Researching artificial intelligence language models for developing the virtual language learning assistant
Year: 2025
Type: conference-paper
Abstract: The article discusses the possibilities of using articial intelligence language models to develop a virtual assistant for learning languages. Analysis of modern trends in mobile learning and the integration of articial intelligence into educational processes shows the promise of using neural networks to personalize the learning experience. Research and comparative analysis of three AI models – GPT-4o, GPT-3.5-turbo and Gemini 1.5 Flash – were conducted to assess their eectiveness in processing Ukrainian-language content, generating texts and providing contextual understanding of queries. Based on the results obtained, a mobile application for learning languages was developed that uses GPT-4o as the main language model. The cross-platform mobile application provides interactive learning, including adaptive tasks, automatic exercise checking, real-time feedback and game elements. The results conrm the feasibility of using AI assistants in language education and open up prospects for further research in the eld of automated learning.
Institution: Pryazovskyi State Technical University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W7166117366