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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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TECHNOLOGIES FOR TEACHING MEDICAL DISCOURSE TO MEDICAL STUDENTS

Authors: Besschetnova L.; Berdaliyeva T.; Abdullayeva G.;

TECHNOLOGIES FOR TEACHING MEDICAL DISCOURSE TO MEDICAL STUDENTS

Abstract

Abstract The article examines medical discourse as a special type of institutional professional discourse functioning in the field of medical communication. The main approaches to defining the concept of “discourse” in modern linguistics are analyzed, and its structural, pragmatic, and cognitive characteristics are revealed. Special attention is paid to the specifics of medical discourse, its genre forms, and communicative interaction models within the “doctor–patient” and “specialist–specialist” systems. The distinction between medical text and medical discourse is substantiated as a methodologically significant condition for developing effective teaching technologies. The paper considers active and interactive methods for developing professional communicative competence in medical students, including role-playing games, clinical cases, discussions, business games, and problem-based learning. It is concluded that interactive technologies are a key tool in shaping the professional linguistic identity of future doctors and ensure the development of speech skills necessary for successful medical practice.

Keywords

medical discourse, medical communication, professional medical speech, institutional discourse, medical text, interactive teaching methods, communicative competence, medical education, professionally oriented teaching, linguodidactics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green