Twee neural network as a new tool for English language teacher

Importance. The integration of artificial intelligence technologies into educational processes is becoming an irreversible process in the development of the information society. With regard to the methodology of foreign language teaching, many researchers note the huge potential of new technologies that can be used to increase the effectiveness of teaching and improve the quality of education. Artificial intelligence technologies are actively used in adaptive learning of foreign languages. Neural networks allow creating personalized training programs and unique content that meet the level of development of the student and his personal interests and needs. Artificial intelligence technologies make it possible to automate the performance of a number of pedagogical tasks, thereby saving the teacher’s time. Such tasks include the generation of educational content and automated assessment of academic performance. Numerous virtual assistants working on artificial intelligence algorithms make it possible to effectively learn a foreign language, respond to students’ requests, provide additional educational materials, give recommendations and are able to maintain feedback. However, despite the obvious advantages, neural networks have a number of significant disadvantages that can negatively affect the learning process. The purpose of this work is to study the Twee neural network, which is positioned as an effective assistant to an English teacher, to determine its linguistic and didactic potential and functional features, to identify its strengths and weaknesses, as well as to determine its applicability for solving certain pedagogical tasks.

Research Methods. Theoretical methods are used to conduct the research: the study of scientific literature on the research topic, analysis, generalization and classification; empirical methods: observation, description and experimental verification; practical methods: modeling the educational process. As a result of studying the linguodidactic potential and functional features of the Twee neural network, its tools are identified and described, allowing an English teacher to plan, organize and evaluate the educational process.

Results and Discussion. The applicability of the Twee neural network to the process of learning English has been studied and described in detail. This neural network allows generating unique educational content and creating communicative exercises aimed at developing all types of speech activity and aspects of language, with the exception of phonetics. The paper also analyzes the capabilities of the Twee neural network to perform pedagogical tasks that an English teacher faces on a daily basis.

Conclusion. In the current state, the Twee neural network is the first qualitative step towards integrating artificial intelligence technologies into the methodology of teaching a foreign language. Having a number of obvious advantages, this neural network will not be able to completely replace an English teacher, but will act as an additional learning tool. The obtained results and conclusions can be used in further research on the methodology of teaching foreign languages using artificial intelligence technologies.

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