Yekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Ekaterinburg, Russian Federation
Yekaterinburg, Ekaterinburg, Russian Federation
Yekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Ekaterinburg, Russian Federation
Ekaterinburg, Russian Federation
employee
Ekaterinburg, Ekaterinburg, Russian Federation
UDC 616.31
The aim of the study is to assess the prevalence of the use of artificial intelligence in the educational process of students of various courses of the Faculty of Dentistry. Materials and methods. A study was conducted based on the results of a survey of 530 students of 2–5 courses of the Faculty of Dentistry of the Ural State Medical University. The questionnaire includes 14 questions divided into three blocks. Questions from the first block are used to assess the prevalence of the use of artificial intelligence by students in the educational process. Questions from the second block are used to assess students' satisfaction with the text capabilities of artificial intelligence, and questions from the third block are used to assess the graphic capabilities. Results. The capabilities of neural networks are most often used by 2nd-year students (43.4%). Most students prefer two neural networks - "ChatGPT" and "Yandex neuro" - 76.2% and 57.1%, respectively. Up to 63.6% of students check the information generated by artificial intelligence using educational resources. Conclusions. When using neural networks, students most often use "ChatGPT" and "Yandex neuro" - 76.2% and 57.1%, respectively, for preparing text works and 50.0% and 45.2%, respectively, for creating visual works. Most students combine traditional methods of obtaining information with the use of artificial intelligence in a 1:1 ratio. A high level of critical attitude towards the information received was identified among students: 63.6% of students check the reliability of the information received from neural networks using various educational resources, including electronic ones. The introduction of artificial intelligence capabilities into the educational process of students of the Faculty of Dentistry is a promising direction for improving the educational process.
artificial intelligence, neural networks, students, dental faculty, artificial intelligence capabilities
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