Didactic Potential of Linguistic Corpora Based on Artificial Intelligence Technologies for Adapting Learning Materials.

The relevance of our study lies in the growing interest in the applied application of artificial intelligence technologies in various fields of human activity.

Aim is to consider neural networks as an example of artificial intelligence technologies for adapting texts in teaching foreign languages.

Methodology. To achieve this goal, we turn to the methods of pedagogical modeling and experiment, as well as statistical data processing. During the research the following methods were used: the analysis of methodological issues, pedagogical modeling, pedagogical experiment, as well as statistical data processing with the use of Student’s criterion.

Scientific novelty and/or theoretical and/or practical significance. The scientific novelty of the research consists in the proposed method of using texts adapted by neutron networks within the framework of a “mobile quest” task series. The theoretical significance of the study includes clarifying the didactic potential of the selected task type. The practical significance, in its turn, is due to the given example of integrating the “mobile quest” task in a specific learning environment, as well as a review of text analysis tools based on artificial intelligence technologies.

Results. The results of the experiment prove the effectiveness for the development of subject and meta-subject skills.

Conclusion. We conclude that it is necessary and appropriate to use relevant and adapted by means of neural networks texts in teaching foreign languages.

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