AI-ENHANCED DEVELOPMENT OF STUDENTS' LINGUO-COGNITIVE COMPETENCE THROUGH THE TPACK FRAMEWORK IN FOREIGN LANGUAGE EDUCATION

This article examines innovative methodological approaches to the development of students’ linguo-cognitive competence through the integration of artificial intelligence (AI) technologies within the Technological Pedagogical Content Knowledge (TPACK) framework in foreign language education. Linguo-cognitive competence is interpreted as a multidimensional construct that combines linguistic knowledge, cognitive processing, and communicative application in academic and professional contexts. The study focuses on the role of AI-based tools in enhancing semantic processing, supporting analytical thinking, and facilitating reflective learning. Particular attention is given to the interaction between technological, pedagogical, and content knowledge, which enables the transformation of traditional teaching models into adaptive and student-centered environments. The findings demonstrate that the integration of AI technologies within the TPACK framework significantly improves students’ ability to analyze information, structure knowledge, construct arguments, and participate effectively in academic discourse.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-09
DOI
https://doi.org/10.5281/zenodo.20095543
Primary Topic
Innovations in Education and Learning Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-ENHANCED DEVELOPMENT OF STUDENTS' LINGUO-COGNITIVE COMPETENCE THROUGH THE TPACK FRAMEWORK IN FOREIGN LANGUAGE EDUCATION

Gulxan Amrullayevna Jumayeva, Gofur Ashurovich Allamuratov
Zenodo (CERN European Organization for Nuclear Research)
Innovations in Education and Learning Technologies
article

AI-ENHANCED DEVELOPMENT OF STUDENTS' LINGUO-COGNITIVE COMPETENCE THROUGH THE TPACK FRAMEWORK IN FOREIGN LANGUAGE EDUCATION

Gulxan Amrullayevna Jumayeva, Gofur Ashurovich Allamuratov
article en

Abstract

This article examines innovative methodological approaches to the development of students’ linguo-cognitive competence through the integration of artificial intelligence (AI) technologies within the Technological Pedagogical Content Knowledge (TPACK) framework in foreign language education. Linguo-cognitive competence is interpreted as a multidimensional construct that combines linguistic knowledge, cognitive processing, and communicative application in academic and professional contexts. The study focuses on the role of AI-based tools in enhancing semantic processing, supporting analytical thinking, and facilitating reflective learning. Particular attention is given to the interaction between technological, pedagogical, and content knowledge, which enables the transformation of traditional teaching models into adaptive and student-centered environments. The findings demonstrate that the integration of AI technologies within the TPACK framework significantly improves students’ ability to analyze information, structure knowledge, construct arguments, and participate effectively in academic discourse.

Zenodo (CERN European Organization for Nuclear Research)
National Pedagogical University of Uzbekistan named after Nizami (UZ)
Quality Education
Openalex Percentile: Top 3%
Innovations in Education and Learning Technologies
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