Year: 2024
Type: article
Study design: Observational Study
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.
Source: CASALC Review
Authors: Simona Pecková, Zuzana Slobodová
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4404185213