Generative neural network tools as a factor in improving the effectiveness of teaching activities: an analysis of modern approaches
Abstract
The paper examines the process of integrating digital technologies into the educational environment of higher education institutions, with an emphasis on the use of generative neural networks as a tool for optimizing teachers' activities in creating digital educational resources. The analysis of existing solutions and practices for the use of artificial intelligence in educational institutions has been carried out, and key problems related to high demands on the digital competencies of teaching staff have been identified. A hypothesis is proposed on the expediency of developing a specialized set of services based on generative artificial intelligence, designed to compensate for the shortage of digital skills and automate individual stages of the development of training courses. The implementation of the proposed approach helps to reduce the time spent by teachers, improve the quality of educational content and adapt the educational process to the requirements of the modern digital economy.
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