The use of AI in foreign language teaching at universities - one year later

The paper deals with artificial intelligence in foreign language teaching, its potential, opportunities and also threats. The purpose of the study is to find out about the sentiment of foreign language teachers towards artificial intelligence, their experience and the extent to which they have already been trained in this field. In order to achieve these objectives, the authors adopted a mixed approach, where a questionnaire and interviews were used as research tools. Based on the results of the questionnaire survey, we can conclude that no dependence between age and sentiment towards AI has been proved. Also, there is no dependence between training provided by university and teachers ́ sentiment towards AI. On the other hand, there is a dependence between training provided by the language department and teachers´ sentiment towards AI. By now, most university language teachers have not received enough training from their employer and acquire their skills mainly through self-study. They would appreciate continuous training in AI and related fields.

Authors

Publication Details

Journal
CASALC Review
Published
2024-11-08
DOI
https://doi.org/10.5817/casalc2024-1-1
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.82
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article

The use of AI in foreign language teaching at universities - one year later

Simona Pecková, Zuzana Slobodová
2 citations
CASALC Review
Online Learning and Analytics
0.82
article

The use of AI in foreign language teaching at universities - one year later

Simona Pecková, Zuzana Slobodová
article en
2 citations

Abstract

The paper deals with artificial intelligence in foreign language teaching, its potential, opportunities and also threats. The purpose of the study is to find out about the sentiment of foreign language teachers towards artificial intelligence, their experience and the extent to which they have already been trained in this field. In order to achieve these objectives, the authors adopted a mixed approach, where a questionnaire and interviews were used as research tools. Based on the results of the questionnaire survey, we can conclude that no dependence between age and sentiment towards AI has been proved. Also, there is no dependence between training provided by university and teachers ́ sentiment towards AI. On the other hand, there is a dependence between training provided by the language department and teachers´ sentiment towards AI. By now, most university language teachers have not received enough training from their employer and acquire their skills mainly through self-study. They would appreciate continuous training in AI and related fields.

CASALC ReviewVol. 14(1)
Quality Education
Openalex Percentile: Top 18%
Online Learning and Analytics
0.82
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