- Гриб'юк, О.О. (orcid.org/0000-0003-3402-0520) (2025) The phenomenon of collective intelligence in the context of the convergence of simulation systems and artificial intelligence technologies for the professional development of teaching staff Габітус, 6 (74). pp. 181-189. ISSN 2663-5208
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Abstract
The present study examines aspects of psychological influence on the use of artificial intelligence technologies in the process of research training, analysing relevant factors and indicators of influence. The objective of the present experimental study is to achieve a comprehensive understanding of the phenomenon of collective intelligence in the context of the convergence of simulation systems and artificial intelligence technologies for the professional development of teaching staff. This encompasses the psychological ramifications of computer technology in a virtual environment during the process of research training. In order to achieve the objectives of the research, the experimental sites are to be referred to as 'Clever: The School of Natural and Mathematical Sciences is utilised. It is imperative to acknowledge the significance of risk identification in the virtual environment, as this facilitates the discernment of pivotal trends that are instrumental in the prospective advancement of collective intelligence. The identification process is further augmented by the utilisation of the components of the computer-oriented methodological system of research learning (COMSRL) in the research learning process, a methodology that is methodologically motivated. A system of learning activities has been developed for the purpose of facilitating exploratory learning. The consequence of this advancement is the attainment of expertise in the pedagogically balanced and methodologically motivated utilisation of AI. A particular focus is placed on the experimental study of the impact of models on the development of intelligence. The necessity of implementing a selection of AI tools to increase motivation and level of intellectual development has been established, which leads to an increase in the effectiveness of exploratory learning. The results were significant at the level of reliability р<=0,05. The data obtained during the experimental research were utilised to analyse the most relevant didactic tools in the context of research training, with a focus on the convergence of simulation systems and AI technologies for the professional development of teaching staff.
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