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%2F00216208%3A11310%2F25%3A10500208" target="_blank" >RIV/00216208:11310/25:10500208 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.11118/978-80-7701-025-2-0028" target="_blank" >https://doi.org/10.11118/978-80-7701-025-2-0028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/978-80-7701-025-2-0028" target="_blank" >10.11118/978-80-7701-025-2-0028</a>

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

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

Public recreation and landscape protection – with respect hand in hand… Proceedings of the 16th Conference

ISBN

978-80-7701-026-9

ISSN

2336-6311

e-ISSN

2336-632X

Počet stran výsledku

6

Strana od-do

28-33

Název nakladatele

Mendel University in Brno Czech Society of Landscape Engineers – ČSSI, z.s.

Místo vydání

Brno

Místo konání akce

Křtiny

Datum konání akce

12. 5. 2025

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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