Alina Drokina ORCID iD “Kharkiv Humanitarian-Pedagogical Academy” of the Kharkiv Regional Council, Kharkiv Ukraine
Alina Drokina
Candidate of Pedagogical Sciences, Lecturer at the Department of Pedagogy, Psychology, Primary Education and Educational Management, Municipal Establishment “Kharkiv Humanitarian-Pedagogical Academy” of the Kharkiv Regional Council, Kharkiv, Ukraine.
Iryna Upatova ORCID iD Municipal Establishment “Kharkiv Humanitarian-Pedagogical Academy” of Kharkiv Regional Council, Kharkiv Ukraine
Iryna Upatova
Doctor of Sciences in Pedagogical, Full Professor, Professor of the Department of Natural Sciences, Municipal Establishment “Kharkiv Humanitarian-Pedagogical Academy” of Kharkiv Regional Council, Kharkiv, Ukraine.
Tеtiana Shanskova ORCID iD Zhytomyr Ivan Franko State University Ukraine
Tеtiana Shanskova
Doctor of Pedagogical Sciences, Associate Professor, Zhytomyr Ivan Franko State University, Head of the Department of Primary Education and Culture of Professional Language, Zhytomyr, Ukraine.
Viktoriia Pavelko ORCID iD Kremenets Taras Shevchenko Regional Academy of Humanities and Pedagogy, Kremenets Ukraine
Viktoriia Pavelko
Candidate of Pedagogical Sciences, Associate Professor of the Department of Pedagogy, Preschool and Primary Education, Kremenets Taras Shevchenko Regional Academy of Humanities and Pedagogy, Kremenets, Ukraine.
Alina Predyk ORCID iD Yuriy Fedkovych Chernivtsi National University, Chernivtsi Ukraine
Alina Predyk
Сandidate of Pedagogical Sciences (Ph.D.), Associate Professor, Associate Professor of the Department of Pedagogy and Methodology of Primary Education, Faculty of Pedagogy, Psychology and Social Work, Yuriy Fedkovych Chernivtsi National University, Chernivtsi.
BRAIN. Broad Research in Artificial Intelligence and Neuroscience
Volume: 16 |
Issue: 3 |
Preparing Future Educators of Primary School for Implementing STEM Education Elements and the Use of Artificial Intelligence (AI) in the Field of Education
Alina Drokina -
“Kharkiv Humanitarian-Pedagogical Academy” of the Kharkiv Regional Council, Kharkiv (UA),
Iryna Upatova -
Municipal Establishment “Kharkiv Humanitarian-Pedagogical Academy” of Kharkiv Regional Council, Kharkiv (UA),
Tеtiana Shanskova -
Zhytomyr Ivan Franko State University (UA),
Viktoriia Pavelko -
Kremenets Taras Shevchenko Regional Academy of Humanities and Pedagogy, Kremenets (UA),
Alina Predyk -
Yuriy Fedkovych Chernivtsi National University, Chernivtsi (UA),
Tetiana Mukhina -
Berdуansk State Pedagogical University, Zaporizhzhia, Ukraine (UA),
Abstract
This article examines ways of preparing future educators to work within the digital transformation context in modern schools. Our authors explore the role of STEM technology and the use of Artificial Intelligence (AI) in developing professional competencies among undergraduate education students, which are essential for working in today’s schools. The study highlights key trends in higher pedagogical education, which are emphasised through the STEM approach application. The сontemporary school is viewed as a space that nurture individuals prepared to acquire an integrated knowledge system and apply it within a dynamically changing social and educational environment. The article demonstrates the effectiveness of applying the STEM approach and the use of Artificial Intelligence (AI) in primary education, which is associated with the real synergy between different fields of knowledge in the educational process. We believe that teachers can incorporate project-based learning plans into STEM lessons. Technologies as modern teaching tools expand students’ professional opportunities in the job market, guiding them towards designing and exploring scientific and technical activities. This article defines the role of the education of STEM in the modern world, emphasises the importance on preparing teaching staff for STEM implementation, and explores the significance of introducing STEM education in primary school. Modern AI capabilities in the context of primary education are analysed, including personalised learning, automated assessment, digital assistants, and intelligent decision support systems.
Academic discipline and sub-disciplines:
Education; Artificial Intelligence; STEM