- Гриб'юк, О.О. (orcid.org/0000-0003-3402-0520) (2024) Pedagogical design of variable models of computer-oriented methodological systems for research teaching of natural and mathematical subjects using artificial intelligence technologies Педагогіка формування творчої особистості у вищій і загальноосвітній школах, 1 (92). pp. 93-102. ISSN 1992-5786
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Abstract
The study provides a comprehensive overview of the potential applications of pedagogical design in the context of computer-oriented methodological systems for research-based teaching of natural and mathematical subjects, including the use of artificial intelligence technologies. The author's models, which utilise AI services, are proposed as a means of organising students' research activities. The developed variable didactic constructs in research teaching are represented by a system of logically interrelated variable research tasks. In combination with variable models, instructions and the necessary minimum of educational information, this system makes it possible to discover new knowledge about the objects of research, find patterns and form hypotheses. Among the typology of lessons proposed in the study, the most appropriate ones in the context of pedagogically balanced and methodologically motivated use of COMSRL components are highlighted. The utilisation of dynamic mathematical systems ensures the requisite interactivity of working with a drawing and the possibility of its study in dynamics. The article offers a classification of the components of COMSRL that can be used in the process of research and teaching of mathematical subjects in a pedagogically balanced and methodologically motivated way to develop the creative potential of students and improve the professional skills of teachers. The data obtained in the course of the experimental study were used to analyse the most appropriate variable models of COMSRL in the process of research and teaching of natural and mathematical subjects. In order to select software tools that are appropriate for guiding students in the process of research education, criteria for the use of COMSRL components, including the use of artificial intelligence technologies, are proposed. The effective use of the proposed system depends on the teacher's ability to design a learning model in compliance with the conditions developed in the experimental study. The findings of the study demonstrate that it is feasible and advantageous to integrate variable models of COMSRL with conventional teaching methodologies, without overwhelming students.
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