MGPU has found that three-quarters of students are using neural networks for their studies.

The research team at MGPU has completed a comprehensive study on the use of artificial intelligence in the educational environment. The work was prepared by the laboratory of sociocultural educational practices at the Institute for Advanced Studies at MGPU. The study included not only quantitative surveys but also a series of group discussions. In total, 1,277 individuals participated in the research: 419 teachers, 100 MGPU lecturers, 556 high school students, and 202 university students. More than 100 representatives from all categories of respondents took part in the group discussions.

The survey results show a dynamic adoption of artificial intelligence technologies by all participants in the educational process. Among school teachers, 46.5 percent are already using neural networks in their work, while this figure reaches 54 percent among university lecturers. The younger generation also demonstrates high engagement with new technologies: 75 percent of high school students and 80 percent of university students actively utilize the capabilities of artificial intelligence in their studies.

“Neural networks have become a new tool in the educational process. Both teachers and students find them helpful for solving various tasks. It is important to understand that artificial intelligence will not replace teachers and lecturers, as live communication is irreplaceable. Neural networks can assist in solving routine tasks, freeing up time for creative work and a personalized approach to students,” notes Ekaterina Asonova, head of the laboratory of sociocultural educational practices at the Institute for Advanced Studies at MGPU.

The outcome of the research provided insights into different approaches to mastering neural networks among students and teachers. While students and pupils prefer practical engagement with technologies through crafting prompts, educators opt for a more thorough approach, seeking a systematic understanding of working with tools like ChatGPT.

The study revealed a variety of applications for AI in the educational process. MGPU lecturers most frequently use neural networks for generating images (43 percent), creating presentations (33), and writing texts (33). They are less likely to turn to AI for literature selection and preparing exam assignments, while eight percent utilize the technology for checking course and thesis papers.

Students display a wide range of applications for artificial intelligence in their studies. They actively use neural networks for project preparation, writing essays and reports, finding ready-made solutions to problems, creating presentations, and testing their knowledge. Notably, 43 percent of students view AI as an assistant in completing academic tasks, indicating the formation of a new approach to organizing the educational process using modern technologies.

Based on the data obtained, the research team developed a comprehensive model for using neural networks in the school educational process. The model includes seven categories of participants in the educational process, ranging from class teachers and subject teachers to staff at information centers and libraries. Roles and interaction formats have been defined for each category, including staff meetings, parent-teacher conferences, class hours, extracurricular events, and club activities using AI.