2025
Empowering Vulnerable Children Through AI: A Participatory Study from Central Europe
DANĚK, Alois; Jarmila KLUGEROVÁ and František VLACHBasic information
Original name
Empowering Vulnerable Children Through AI: A Participatory Study from Central Europe
Authors
DANĚK, Alois; Jarmila KLUGEROVÁ and František VLACH
Edition
BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, Romania, 2025, 2068-0473
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
50302 Education, special
Country of publisher
Romania
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 0.500 in 2024
Marked to be transferred to RIV
Yes
Organization unit
Ambis University
UT WoS
Keywords in English
artificial intelligence;inclusive education;residential childcare;social inclusion;participatory action research: digital equity;non-formal education
Tags
Changed: 31/1/2026 09:25, Ing. František Vlach, Ph.D., MBA, LL.M.
Abstract
In the original language
Children living in residential childcare institutions worldwide face significant barriers to social inclusion, personal development, and educational equity. This article reports findings from the international project Sport, Culture, and Education: Empowering Visegrad's Children for a Brighter Future, which integrating non formal education, cultural expression, and snorts to foster inclusion and 2Ist-century competencies among children in residential childcare. An important innovation of the project was the integrative use of artificial intelligence (AI) to support pedagogical planning, adaptive content creation, and participatory evaluation processes. Employing a participatory action research design and mixed methods, the study involved 68 children from residential childcare institutions in the Czech Republic, Slovakia, and Ukraine, accompanied by 21 childcare professionals. Results show that Al has significantly enhanced the quality and individualisation of educational and cultural interventions, while also improving the efficiency of data collection and analysis. At the same time, our study highlights critical ethical, linguistic, and contextual challenges to the deployment of Al in these vulnerable populations. The article discusses the broader implications of Al in the context of residential childcare. It presents evidence-based recommendations for educators, not only in residential childcare settings but also those seeking to employ AI responsibly and effectively in the fields of child welfare and inclusive education.