The Use of Artificial Intelligence in The Training of Social Interaction Specialists in Higher Education Institutions
Year: 2025
Type: article
Study design: Clinical Trial
Abstract: The article reveals the concept's content, essence, and advantages. The main properties of artificial intelligence are highlighted, and measures have been developed to address potential problems in successfully integrating artificial intelligence tools into the educational process for training social interaction specialists. The most effective proposals for introducing artificial intelligence into the higher education curriculum are documented. Examples and approaches for training future specialists in social interaction through artificial intelligence are provided. Recommendations for the use of artificial intelligence in the training of future social interaction specialists are grouped. To develop profes-sional competence in artificial intelligence technologies among higher education students, we engaged students in the social interaction spe-cialty. All participants, aged 18-25 years, provided consent for the study before its start and were informed about the conditions of participa-tion in the questionnaire. We assessed the growth of professional competence among higher education students in the social interaction spe-cialty using artificial intelligence technologies, using the Pearson χ2 homogeneity criterion. The initial states of EG and CG coincide, but the final states differ. The reliability of the difference in the characteristics of EG and CG after the completion of the experiment meets the re-quirements of statistical research.
DOI: 10.14419/6fx8b339
Institutions: Ferenc Rakoczi II Transcarpathian Hungarian University, Taras Shevchenko National University of Kyiv, Khmelnytskyi National University, National Pirogov Memorial Medical University, Vinnytsya, Rivne State University of Humanities, International Humanitarian University, Oleksandr Dovzhenko Hlukhiv National Pedagogical University, Admiral Makarov National University of Shipbuilding, National University of Life and Environmental Sciences of Ukraine
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4417428101
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