Educators’ Perceptions of AI and Climate Change in Hungary’s Vocational Education

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Abstract
Artificial intelligence (AI) and climate change are
two of the most pressing global challenges, significantly
influencing vocational education and training (VET). This study
explores how teachers in transport and logistics education in
Hungary perceive the anticipated impacts of AI and climate
change on their professional roles and the broader socioeconomic
context. The research involved two samples:
humanities teachers and vocational instructors from a VET
center in Szekesfehervar using an online questionnaire. The
survey assessed knowledge, attitudes, perceived risks, and
openness to training related to AI and climate change. Results
revealed mixed attitudes toward AI: while many teachers were
open to its use, a large proportion, especially vocational
teachers, viewed it as a security risk. In contrast, climate change
elicited more consistent concern, with all vocational teachers
agreeing on the need to prepare students for its effects.
Generational differences were also observed, with Generation Y
teachers showing more optimism toward AI and Generation Z
teachers being more critical. The findings highlight the need for
practice-oriented training programs that support AI integration
and pro-mote sustainability education. With appropriate
support, education can play a central role in addressing both
technological and ecological challenges.
- Title
- Educators’ Perceptions of AI and Climate Change in Hungary’s Vocational Education
- xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
- 43.
- Author
- Varsányiné Szeredi, Viktória
- Trenka, Zoltán János
- Pogátsnik, Monika
- xmlui.dri2xhtml.METS-1.0.item-contributor-editor
- Petőné Csuka, Ildikó
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2025
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
- AIS 2025 20th International Symposium on Applied Informatics and Related Areas
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
- 2025. November 13.
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- 5 p.
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- education, VET teachers, artificial intelligence, climate change
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-identifiers
- DOI: 10.12700/AIS.2025.043
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- PROCEEDINGS of 20th International Symposium on Applied Informatics and Related Areas
- xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
- 978-963-449-405-8
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Konferenciaközlemény
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Bölcsészettudományok - neveléstudományok
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem
- xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
- Alba Regia Műszaki Kar