J 2025

Empowering Vulnerable Children Through AI: A Participatory Study from Central Europe

DANĚK, Alois; Jarmila KLUGEROVÁ a František VLACH

Základní údaje

Originální název

Empowering Vulnerable Children Through AI: A Participatory Study from Central Europe

Autoři

DANĚK, Alois; Jarmila KLUGEROVÁ a František VLACH

Vydání

BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, Romania, 2025, 2068-0473

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50302 Education, special

Stát vydavatele

Rumunsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 0.500 v roce 2024

Označené pro přenos do RIV

Ano

Organizační jednotka

Ambis Univerzita

Klíčová slova anglicky

artificial intelligence;inclusive education;residential childcare;social inclusion;participatory action research: digital equity;non-formal education

Štítky

Změněno: 31. 1. 2026 09:25, Ing. František Vlach, Ph.D., MBA, LL.M.

Anotace

V originále

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.