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AI tools and cognitive lexicology in language education: A cross-linguistic perspective

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18440%2F25%3A50023158" target="_blank" >RIV/62690094:18440/25:50023158 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://rudn.tlcjournal.org/archive/9(4)/9(4)-02.pdf" target="_blank" >https://rudn.tlcjournal.org/archive/9(4)/9(4)-02.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22363/2521-442X-2025-9-4-21-34" target="_blank" >10.22363/2521-442X-2025-9-4-21-34</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    AI tools and cognitive lexicology in language education: A cross-linguistic perspective

  • Popis výsledku v původním jazyce

    The paper looks at several conceptual questions in contemporary cognitive lexicology and considers how recent AI tools can be brought into language teaching in a way that does more than automate routine tasks. At its centre is a premise that lexical meaning cannot be separated from the cognitive mechanisms through which speakers organise and transmit knowledge. From this angle, the relationship between mental structures and linguistic form becomes more than a theoretical point and serves as a practical guide for analysing how meaning is built and negotiated. The discussion turns to the discursive-cognitive direction in cognitive lexicology, which has increasingly emphasised the need to move towards a more grounded, communicative-pragmatic interpretation of lexical and metaphorical phenomena across different languages and cultures. The study pursued two aims: to trace the conceptual metaphors and frames that emerge in Russian, English, and Kazakh, and to assess how AI-based tools contribute to students’ cognitive awareness when working with such material. The project combined quantitative methods (corpus queries, embedding models, and statistical testing) with a qualitative reading of students’ reflections and of the metaphorical patterns that surfaced in their work. The contribution of the study lies in the creation of a cognitively oriented AI platform together with a set of teaching modules that show how AI can act as a mediator between languages. These modules allow learners to explore cross-linguistic conceptual structures, observe culturally specific mappings, and see more clearly how metaphor, categorisation, and framing condition lexical meaning. The approach provides a practical framework for integrating AI into language teaching and supports the development of metalinguistic awareness and intercultural understanding.

  • Název v anglickém jazyce

    AI tools and cognitive lexicology in language education: A cross-linguistic perspective

  • Popis výsledku anglicky

    The paper looks at several conceptual questions in contemporary cognitive lexicology and considers how recent AI tools can be brought into language teaching in a way that does more than automate routine tasks. At its centre is a premise that lexical meaning cannot be separated from the cognitive mechanisms through which speakers organise and transmit knowledge. From this angle, the relationship between mental structures and linguistic form becomes more than a theoretical point and serves as a practical guide for analysing how meaning is built and negotiated. The discussion turns to the discursive-cognitive direction in cognitive lexicology, which has increasingly emphasised the need to move towards a more grounded, communicative-pragmatic interpretation of lexical and metaphorical phenomena across different languages and cultures. The study pursued two aims: to trace the conceptual metaphors and frames that emerge in Russian, English, and Kazakh, and to assess how AI-based tools contribute to students’ cognitive awareness when working with such material. The project combined quantitative methods (corpus queries, embedding models, and statistical testing) with a qualitative reading of students’ reflections and of the metaphorical patterns that surfaced in their work. The contribution of the study lies in the creation of a cognitively oriented AI platform together with a set of teaching modules that show how AI can act as a mediator between languages. These modules allow learners to explore cross-linguistic conceptual structures, observe culturally specific mappings, and see more clearly how metaphor, categorisation, and framing condition lexical meaning. The approach provides a practical framework for integrating AI into language teaching and supports the development of metalinguistic awareness and intercultural understanding.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    50302 - Education, special (to gifted persons, those with learning disabilities)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Training, Language and Culture

  • ISSN

    2520-2073

  • e-ISSN

    2521-442X

  • Svazek periodika

    9

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    RU - Ruská federace

  • Počet stran výsledku

    14

  • Strana od-do

    21-34

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-105026496019