Developing students’ artificial intelligence usage culture in productive creativity learning

Introduction. The article presents the results of the study on developing students’ artificial intelligence culture, confronting the risks of its increasing overuse in learning. The purpose of the study is to identify, within the framework of cultural and anthropological approaches, the conditions for the development of students’ artificial intelligence culture in productive learning activities. Materials and Methods. The cultural and anthropological approaches built the methodological basis of the study. Theoretical methods (analysis, synthesis, generalisation, systematisation, classification, theoretical modelling), empirical methods (modelling experiment, observation, content analysis, analysis of learning outcomes, oral and online survey), and methods of statistical data processing (general statistics and correlation analysis) were used to achieve the purpose of the research. The study involved 209 teachers, 105 education undergraduates, and 23 master’s students. Results. The authors obtained the following results: the concept of ‘development of students’ artificial intelligence usage culture’ is defined; psychological and teaching conditions for developing students’ culture of artificial intelligence usage in productive learning activities are theoretically and experimentally verified. Conclusions. The research has revealed the correlation between the levels of students’ AI usage culture demonstrated in productive learning activities and psychological and teaching support provided by the university.