Neural Networks That Simplify Teacher Work

Abstract

The modern education sector is closely linked to technological innovations. Digitization, artificial intelligence (AI) and neural networks are penetrating all spheres of society, opening up new opportunities in education. This trend is aimed at simplifying the work of teachers and making the learning process more effective. However, the large number of tasks assigned to teachers can lead to a decrease in the quality of education and a limitation of their creative potential. Therefore, reducing the workload of teachers and allowing them to concentrate on their main task - providing quality education - is becoming an urgent issue.The use of AI and neural networks in the field of education is reaching a new level. For example, automating tasks such as preparing lesson plans, developing educational materials, assessing student knowledge, and analyzing data saves teachers time. Although previous studies have shown the general advantages of artificial intelligence and automation, the direct impact of these technologies on teacher work has not been comprehensively considered.The novelty of this study is that it identifies neural networks as a tool for facilitating teacher work and suggests ways to use them in practice. The purpose of the report is to identify the role of neural networks in the pedagogical process and show effective ways to reduce the workload of teachers with their help. In addition, the practical capabilities of neural networks and their impact on improving the quality of education are analyzed.