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TRANSLINGUALISM AND ARTIFICIAL INTELLIGENCE: NEW OPPORTUNITIES FOR THE DEVELOPMENT OF SOFT SKILLS

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Currently, artificial intelligence (AI) and natural language processing significantly influence the development of modern technologies. AI offers opportunities to improve efficiency, save time, and optimize work processes across various fields. In recent years, the use of AI in education, particularly in language learning, has become widespread. The relevance of this study lies in the fact that, in the era of globalization, improving language learning through modern technological solutions is both important and promising. AI enables the development of adaptive curricula tailored to learners' proficiency levels, enhances learning efficiency, provides interactive educational materials, automates assessment of language skills, and increases motivation. This study explores approaches to developing a model for an integrated platform for learning the Kazakh language using AI. The aim of the study is to design an integrated platform model that supports the simultaneous development of language proficiency and flexible skills (soft skills) when teaching Kazakh in a translingual context using the generative capabilities of AI. To achieve this aim, existing AI-based platforms were analyzed, the scientific and methodological foundations of the translingual approach were defined, and the architecture of the proposed model was designed. The scientific novelty of the research lies in analyzing network platforms that utilize AI to identify optimal applications and in developing and proposing a platform model designed for second-language acquisition in a translingual framework by fostering flexible skills and comparing the target language with the native language. The study includes a comparative analysis of the advantages and limitations of educational applications such as Course Hero, Gradescope, Cognii AI, Socratic, and Praktika AI. The findings indicate that Cognii AI and Praktika AI are the most effective for meeting learners’ needs. The practical significance of the study is that its results may be useful for educators, specialists, and developers of AI-based online platforms and may serve as a guideline for integrating such technologies into language education. The study proposes implementing a translingual approach through AI-based learning platforms, enabling learners to develop communication, critical thinking, and emotional intelligence by comparing the native and target languages.
A.Baitursynuly Institute of Linguistics
Title: TRANSLINGUALISM AND ARTIFICIAL INTELLIGENCE: NEW OPPORTUNITIES FOR THE DEVELOPMENT OF SOFT SKILLS
Description:
Currently, artificial intelligence (AI) and natural language processing significantly influence the development of modern technologies.
AI offers opportunities to improve efficiency, save time, and optimize work processes across various fields.
In recent years, the use of AI in education, particularly in language learning, has become widespread.
The relevance of this study lies in the fact that, in the era of globalization, improving language learning through modern technological solutions is both important and promising.
AI enables the development of adaptive curricula tailored to learners' proficiency levels, enhances learning efficiency, provides interactive educational materials, automates assessment of language skills, and increases motivation.
This study explores approaches to developing a model for an integrated platform for learning the Kazakh language using AI.
The aim of the study is to design an integrated platform model that supports the simultaneous development of language proficiency and flexible skills (soft skills) when teaching Kazakh in a translingual context using the generative capabilities of AI.
To achieve this aim, existing AI-based platforms were analyzed, the scientific and methodological foundations of the translingual approach were defined, and the architecture of the proposed model was designed.
The scientific novelty of the research lies in analyzing network platforms that utilize AI to identify optimal applications and in developing and proposing a platform model designed for second-language acquisition in a translingual framework by fostering flexible skills and comparing the target language with the native language.
The study includes a comparative analysis of the advantages and limitations of educational applications such as Course Hero, Gradescope, Cognii AI, Socratic, and Praktika AI.
The findings indicate that Cognii AI and Praktika AI are the most effective for meeting learners’ needs.
The practical significance of the study is that its results may be useful for educators, specialists, and developers of AI-based online platforms and may serve as a guideline for integrating such technologies into language education.
The study proposes implementing a translingual approach through AI-based learning platforms, enabling learners to develop communication, critical thinking, and emotional intelligence by comparing the native and target languages.

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