“Frankenstein's Children”? Socialising modifications of the educational process in the age of artificial intelligence.
Abstract
RESEARCH OBJECTIVE: The aim is to provide a theoretical diagnosis of the impact of the pace of contemporary civilisational changes – which are consequences of the development of information technologies – on the specificity of modifications to the youth socialisation space and their impact on the forecasted changes to the educational model of the future.
THE RESEARCH PROBLEM AND METHODS: The research problem is contained in the question: To what extent does the leap in civilisation progress generated by the successive stages of the digital revolution modify young people’s socialisation process, creating new spaces and new realised patterns of educational interactions? A selective analysis of theoretical works and research reports from sociology, pedagogy, psychology, psychiatry, neuroscience and information technology was used as a research method, combining it with the results of my research work.
THE PROCESS OF ARGUMENTATION: The article analyses the new quality of the youth socialisation process taking shape in recent years and its effects in educational spaces, using selected elements of the conceptual model applied to analyses of the world of contemporary youth in times of accelerated civilisational change.
RESEARCH RESULTS: As a consequence of the development of new opportunities brought about by the dynamic development of information technologies, especially artificial intelligence systems, we are seeing the creation of new foundations for the socialisation process of young people, which is noticeably making its presence felt in educational spaces.
CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: The modifications to socialisation process of young people emerging in the wake of rapid civilisational change are contributing to the shaping of a new model of education for the future, and the existing one is beginning to lose its relevance. The development of appropriate mechanisms to continuously monitor the impact of AI systems on their users seems necessary in such a situation.
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