AI in Environmental Education: Tools, Trends and Future Directions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F25%3A00013732" target="_blank" >RIV/46747885:24510/25:00013732 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.mendelu.cz/artkey/doi-990008-0500_public-recreation-and-landscape-protection-8211-with-respect-hand-in-hand-8230.php" target="_blank" >https://doi.mendelu.cz/artkey/doi-990008-0500_public-recreation-and-landscape-protection-8211-with-respect-hand-in-hand-8230.php</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

AI in Environmental Education: Tools, Trends and Future Directions

Popis výsledku v původním jazyce

Artificial intelligence (AI) is rapidly advancing in education and has the potential to enhance various domains, including environmental education. Thus, the main purpose of this study is to identify AI tools that have the potential to support contemporary environmental education practices. The research is methodologically conducted through a systematic review of academic contributions in scientific databases related to the application of AI in (environmental) education. The systematic review is structured in accordance with the PRISMA statement methodological framework. The primary outcome is a classified overview of AI tools and a thematic synthesis of their applications across different educational levels within environmental education. Additionally, the findings contribute to the development of a currently underexplored theoretical framework for integrating AI into educational practice, laying the groundwork for future research and implementation of AI in environmental education.

Název v anglickém jazyce

AI in Environmental Education: Tools, Trends and Future Directions

Popis výsledku anglicky

Artificial intelligence (AI) is rapidly advancing in education and has the potential to enhance various domains, including environmental education. Thus, the main purpose of this study is to identify AI tools that have the potential to support contemporary environmental education practices. The research is methodologically conducted through a systematic review of academic contributions in scientific databases related to the application of AI in (environmental) education. The systematic review is structured in accordance with the PRISMA statement methodological framework. The primary outcome is a classified overview of AI tools and a thematic synthesis of their applications across different educational levels within environmental education. Additionally, the findings contribute to the development of a currently underexplored theoretical framework for integrating AI into educational practice, laying the groundwork for future research and implementation of AI in environmental education.

Druh

O - Ostatní výsledky

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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