Artificial intelligence in developing doctoral students' research competencies

Abstract

The study deals with the topical issue of introducing artificial intelligence (AI) into the students’ professional training at the third educational and research level of higher education. The aim of the study is to empirically verify the AI role in building the research competence of future doctors of philosophy (PhDs). The research employed the following methods: monitoring, quantitative, qualitative, comparative data analysis, modelling. The study involved monitoring the development of the students’ research competence of the third educational and research level of higher education according to substantive, design, procedural, optional, communicative components. The method of using AI in building the research competence of PhD students was developed and tested. The level of research competence increased during the implementation of the method of using AI. So, the growth was the following: substantive – by 7.5%, design – by 10%, procedural – by 8.4%, optional – by 11.4%, and communicative – by 8.5% components. The results of the study can be used in the educational process of higher education institutions (HEIs) to create the content of the training of applicants. The prospect of research is the development of recommendations regarding the use of AI tools in the development of their research skills.

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