Generative Artificial Intelligence (GenAI) in K-12 Education

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11410%2F25%3A10507825" target="_blank" >RIV/00216208:11410/25:10507825 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=tVQ~ijHeck" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=tVQ~ijHeck</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14712/23362189.2025.4924" target="_blank" >10.14712/23362189.2025.4924</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Generative Artificial Intelligence (GenAI) in K-12 Education

Popis výsledku v původním jazyce

The educational landscape of K-12 classrooms is undergoing changes because of the emerging influence of Generative Artificial Intelligence (GenAI). The tools are driving educational transformation through personalised learning experiences, streamlined teacher workflows, and improved curriculum design, which is leading educators and policymakers to challenge conventional educational methods in the digital age. The rapid informal adoption of these technologies by students, teachers, and parents has accelerated urgent discussions on how K-12 education systems should respond. At the same time, meaningful integration of GenAI requires more than technological readiness. It relies on coherent national policies, high-quality teacher preparation, strong ethical principles, and equitable access to digital infrastructure. This study explores how four countries, namely the Czech Republic, Israel, Latvia, and Slovakia, are responding to these demands. Through a qualitative comparative approach, the paper identifies shared directions, country-specific challenges, and emerging opportunities. The findings highlight differing levels of preparedness and coordination and offer practical insights for policymakers, educators, and stakeholders working to support the responsible and inclusive adoption of GenAI in schools.

Název v anglickém jazyce

Generative Artificial Intelligence (GenAI) in K-12 Education

Popis výsledku anglicky

The educational landscape of K-12 classrooms is undergoing changes because of the emerging influence of Generative Artificial Intelligence (GenAI). The tools are driving educational transformation through personalised learning experiences, streamlined teacher workflows, and improved curriculum design, which is leading educators and policymakers to challenge conventional educational methods in the digital age. The rapid informal adoption of these technologies by students, teachers, and parents has accelerated urgent discussions on how K-12 education systems should respond. At the same time, meaningful integration of GenAI requires more than technological readiness. It relies on coherent national policies, high-quality teacher preparation, strong ethical principles, and equitable access to digital infrastructure. This study explores how four countries, namely the Czech Republic, Israel, Latvia, and Slovakia, are responding to these demands. Through a qualitative comparative approach, the paper identifies shared directions, country-specific challenges, and emerging opportunities. The findings highlight differing levels of preparedness and coordination and offer practical insights for policymakers, educators, and stakeholders working to support the responsible and inclusive adoption of GenAI in schools.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Pedagogika

ISSN

0031-3815

e-ISSN

2336-2189

Svazek periodika

75

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

20

Strana od-do

381-400

Kód UT WoS článku

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EID výsledku v databázi Scopus

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