Teachers’ opinions on the application of corpora in ICT and AI-aided foreign language education

Krzysztof Polok, Aleksandra Drózd and Małgorzata Przybysz-Zaremba

The Journal of Educational Research, 2025, vol. 118, issue 6, 663-673

Abstract: This study aims to investigate teachers’ perspectives on the ICT and AI-aided incorporation of corpora in foreign language instruction. A corpus, defined as a collection of linguistic data available in a machine-readable format, encompasses diverse form types ranging from spoken to written language, contemporary to historical texts, and involving one or multiple languages. Qualitative data collection methods are employed in this study due to the complex nature of human interactions. Personal interviews are conducted to gather teachers’ opinions, and the collected data are analyzed using qualitative description techniques. During the preparation of the surveys, the notions concerning the learners’ interests and the ratio of their acceptance by the teachers on the one hand, and the ways AI propositions may be of help here are planned to be paid attention to. Also, Likert scales are employed to obtain generalization of the results. The findings indicate that corpora serve as valuable linguistic tools that offer innovative approaches to language learning. Additionally, it is indicated that—in the opinions of a number of the surveyed teachers—AI appears to be quite helpful in language learning, mostly by delivering personalized learning experiences that allow the learners to develop the language skills (in the sense understood by Gardner) at their own pace and focus on topics that interest them.

Date: 2025
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DOI: 10.1080/00220671.2025.2510381

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