Didactic Systems With Artificial Intelligence Technologies for Integrative Teaching of English and Latin in Medical Universities
Year: 2024
Type: article
Abstract: this article explores the development and implementation of didactic systems aimed at advancing artificial intelligence (AI) technologies in the integrative teaching of English and Latin to medical university students. Recognizing the critical role of these languages in medical education, the study focuses on the potential of AI tools to enhance language acquisition, professional vocabulary development, and cognitive engagement. The proposed systems incorporate AI-driven solutions such as adaptive learning platforms, virtual tutors, and natural language processing applications to address challenges in traditional teaching methods. Findings indicate that AI integration facilitates personalized learning, improves academic outcomes, and fosters a deeper understanding of linguistic and professional concepts. The article also highlights challenges and provides recommendations for optimizing AI-based language instruction in medical education.
Author: Djalilova, Zarnigor
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6893093649
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