The Use of Artificial Intelligence Algorithms in Foreign Languages Teaching
The article is devoted to the analysis of the phenomenon of artificial intelligence and neural networks in the framework of foreign language education. The authors analyze the possibilities of these digital resources in foreign languages teaching. The article discusses current issues of the development and implementation of neural networks, describes their technical and technological characteristics for the educational content development. It has been identified and presented both the teaching and evaluating potential of neural networks in the practice of foreign languages teaching. It is presented the algorithm of software implementation in the form of an application. The authors analyze the existing tools of neural networks, the range of their capabilities in organizing feedback to students and the additional conditions that arise in this regard for mastering a foreign language. The article provides an algorithm for developing educational content based on neural networks for the development of all types of foreign language speech activity. They are given some methodological recommendations that describe the advantages and limits of using neural networks in the practice of foreign language education.
Authors
- Alexey S. Shimichev (ORCID: https://orcid.org/0000-0001-6526-4080)
- Mira B. Rotanova (ORCID: https://orcid.org/0000-0001-8185-4347)
Institutions
- Linguistics University of Nizhny Novgorod (RU)
- Nizhny Novgorod State Pedagogical University (RU)
Publication Details
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1109/qmtisit63393.2024.10762916
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00