Using a neural network in the work of an informatics teacher

Abstract

Neural networks in education are a promising direction for encreasing the level of teaching and improving the quality of learning. Neural networks can be used for various types of learning, from teaching to creating personalized learning materials for individual students. The article describes the prospects and possibilities of using neural networks in the work of an informatics teacher, provides examples of queries to the neural network and options for their execution by the neural network, and analyzes the responses issued by the neural network to queries. Methodological ideas for using a neural network will be useful to informatics teachers when preparing for informatics lessons, extracurricular activities and competitions. The use of neural networks by teachers in their activities will allow the teacher to save time when preparing for a lesson, use a creative approach when planning lessons, diversify the teacher's teaching materials and will contribute to the formation of the ability to use information technology to solve teaching problems.