- Литвинова, С.Г. (orcid.org/0000-0002-5450-6635), Носенко, Ю.Г. (orcid.org/0000-0002-9149-8208), Осадча, К. П. (orcid.org/0000-0003-0653-6423), Пінчук, О.П. (orcid.org/0000-0002-2770-0838), Рашевська, Н. В. (orcid.org/0000-0001-6431-2503) and Сухіх, А.С. (orcid.org/0000-0001-8186-1715) (2025) Сonceptual model of generative artificial intelligence integration into the process of developing information and digital competence in students at the basic secondary education level Фізико-математична освіта, 5 (41). ISSN 2413-1571 (In Press)
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Abstract
The article considers the integration of generative artificial intelligence (GAI) into developing students' information and digital competence (IDC) in basic secondary education. The relevance of creating a conceptual model that combines pedagogical, cognitive, technological, and ethical dimensions based on the DigComp 2.2 framework and UNESCO recommendations is emphasized. Formulation of the problem. IDC is becoming key in the digital society, but traditional approaches in school do not provide the proper level of its formation. Students face difficulties searching and critically analyzing information, and the educational process requires individualization and broader use of digital tools. The spread of GSI actualizes the need for its conceptual implementation, taking into account pedagogical feasibility, ethics, and security. Materials and methods. The analysis of scientific and methodological literature, international documents on digital literacy, results of pedagogical observation, and content analysis of educational practices were used. The modeling method and structural-functional analysis were used to build the model, which allowed it to determine the relationships between its components. Results. A conceptual model of integrating GSI into the development of students' ICT has been developed, with a multi-level implementation. At the student level - personalization of educational trajectories, chat bots, recommendation systems, development of critical thinking; at the teacher level - optimization of routine tasks, analysis of achievements, creation of individual plans; at the management level - analytics for predicting results and correcting programs; at the social level - solving issues of accessibility, data protection, overcoming algorithmic bias. The model covers target, subject-object, content, technological, methodological, organizational, ethical, and result-evaluation components that form a holistic system. Conclusions. Integrating GSI into teaching opens up new opportunities for developing critical thinking, digital creativity, and student autonomy. The model has theoretical and practical significance, can be used to update educational standards, create methodological materials, and teacher training programs. Its implementation contributes to the formation of students' readiness for conscious interaction with intelligent technologies in the context of digital transformation.
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