According to the results of a study conducted by the Umskul educational platform and the Position center, it turned out that every fifth teacher in Russia actively uses neural networks in their work. The survey was attended by 1,265 teachers, 36% of whom plan to start using neural networks in the near future. Already 20% of teachers actively include these technologies in the educational process.
Interest in neural networks is especially noticeable among young teachers aged 22 to 30, 53% of whom are confident in their educational prospects and 34% already use them in their work. Teachers note that neural networks help automate routine tasks, save time in preparing and checking work, and also increase the accuracy and objectivity of assessments. Neural networks also provide access to more educational resources and information.
However, educators face a number of challenges in implementing neural networks, including a lack of technical skills, the need to adapt curricula, and the high costs of implementing AI. Despite these challenges, most respondents are confident in the possibility of using neural networks, especially in subjects such as computer science, English, and physics.
Source: Ferra
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