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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial intelligence in language education: Teachers' fears, hopes and solutions

Authors: Korte, Satu-Maarit; Kim, Youngsang; Sipilä, Keijo Tapani; Wang, Lixun;

Artificial intelligence in language education: Teachers' fears, hopes and solutions

Abstract

Abstract: The potential of Artificial Intelligence (AI) to improve educational outcomes, especially in language learning, has been widely discussed. Yet, the lived realities, expectations, and concerns educators have about AI’s role in schools remain unexplored. This commentary looks at a comparative study involving 636 second language teachers from Brazil, Finland, Hong Kong, and South Korea. It examines how educators perceive and use AI. The results show generally positive attitudes but highlight differences in self-efficacy, usage frequency, and pedagogical value. These differences are shaped by regional policies and digital resources. Understanding these insights is important for guiding teacher training, policy design, and the development of ethical, inclusive tools that respond to local needs.

Submitted: July 2025, Revision Submitted: November 2025, Accepted: December 2025

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Keywords

Teacher Training;, Second Language Teachers;, Comparative Study., Artificial Intelligence;

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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