DIDACTIC SYSTEMS WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR INTEGRATIVE TEACHING OF ENGLISH AND LATIN IN MEDICAL UNIVERSITIES

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-19
DOI
https://doi.org/10.5281/zenodo.14185695
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

DIDACTIC SYSTEMS WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR INTEGRATIVE TEACHING OF ENGLISH AND LATIN IN MEDICAL UNIVERSITIES

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

DIDACTIC SYSTEMS WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR INTEGRATIVE TEACHING OF ENGLISH AND LATIN IN MEDICAL UNIVERSITIES

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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