AI-ENHANCED DEVELOPMENT OF STUDENTS’ LINGUO-COGNITIVE COMPETENCE THROUGH THE TPACK FRAMEWORK IN FOREIGN LANGUAGE EDUCATION
DOI:
https://doi.org/10.5281/zenodo.20095543Keywords:
linguo-cognitive competence, TPACK, artificial intelligence, cognitive strategies, academic discourse, foreign language education.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.
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