Sociological monitoring of students’ attitude to the use of neural networks in the educational process in the context of digital transformation

At the current stage of socio-economic development in the context of the digital transformation of the education system, the use of neural networks in the educational process is an important aspect. The purpose of the study is to analyze students’ perception of neural networks. The results of sociological monitoring of students’ attitude to the use of neural networks in the educational process in the context of digital transformation have been presented. The study has been conducted using an electronic questionnaire survey of 448 students from 12 branches of the Financial University under the Government of the Russian Federation located in different regions of Russia. As a result of the conducted sociological research, it has been revealed that the majority of students quite often use neural networks for educational purposes and note significant advantages, such as speeding up learning educational material, automating routine tasks, and the possibility of organizing personalized, convenient learning. Some students’ concerns when using neural networks in the  educational process have been noted, due to the lack of clear instructions and recommendations for integrating neural networks into the educational process, potential risks associated with the relevance and accuracy of data obtained from neural networks, students’ dependence on neural networks, and decreasing creativity and analytical thinking in the process of performing educational tasks. To improve the use of neural networks in the educational process in Russian universities, recommendations have been developed regarding the training of teaching staff and students to work with artificial intelligence, forming methodological support, implementing ethical standards and a system for monitoring, and evaluating the effectiveness of these technologies.

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