ОГЛЯД ДОСВІДУ ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ РОЗВИТКУ ЦИФРОВОЇ КОМПЕТЕНТНОСТІ НАУКОВО-ПЕДАГОГІЧНИХ ПРАЦІВНИКІВ

Vasyl Oleksiuk; Oleh Spirin; Svitlana Ivanova; Iryna Mintii; Tetiana Vakaliuk; Alla Kilchenko

doi:10.14308/ite000806

Authors

Vasyl Oleksiuk Institute for Digitalisation of Education of the NAES of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-2206-8447
Oleh Spirin Institute for Digitalisation of Education of the NAES of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-9594-6602
Svitlana Ivanova Institute for Digitalisation of Education of NAES of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-3613-9202
Iryna Mintii Institute for Digitalisation of Education of NAES of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-3586-4311
Tetiana Vakaliuk Institute for Digitalisation of Education of NAES of Ukraine, Kyiv, Ukraine
Alla Kilchenko Institute for Digitalisation of Education of NAES of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-2699-1722

DOI:

https://doi.org/10.14308/ite000806

Keywords:

digital competence, generative AI, bibliometric analysis

Abstract

Abstract. The study is devoted to the analysis of foreign publications on the use of generative artificial intelligence (AI) for the development of digital competence of scientific and scientific-pedagogical workers in the field of educational sciences. The authors systematized and processed scientific publications from the Scopus and Web of Science databases covering the basic concepts of the study. Analysis of the metadata obtained showed a rapid increase in the number of studies since 2021, which continues to this day. The countries (China, the US, and EU countries) with the highest number of studies were identified, as well as the publications that publish articles on this topic most intensively. Studies from Ukraine are highlighted separately. Based on graph theory concepts (betweenness centrality, closeness centrality, density), research directions in this field were identified. These include: conceptual approaches to the use of AI in the context of digital transformation; digital literacy in the use of generative AI; training and professional development of teachers; methodological and ethical issues in the application of AI technologies. The results of thematic and cluster analysis show that researchers are mostly focused on higher education, generative AI models, the ChatGPT chatbot, other AI services, and the need to develop methods for building digital competence among educators and researchers, taking into account ethical aspects and principles of academic integrity. The analysis of Ukrainian experience in applying AI for competence development was performed based on metadata exported from the OUCI service. Its results demonstrated a rapid growth in scientists’ interest in this issue, but also revealed the limited nature of research on the target category of scientific and pedagogical staff.

The conclusions emphasize the relevance of developing the digital competence of scientific and pedagogical workers, but point to a lack of research on the systematic use of AI for this purpose, especially experimental research. The authors emphasize the need to develop a comprehensive methodology for using AI to develop the digital competence of scientific and scientific-pedagogical workers in the field of educational sciences.

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