TURK 2025

Modern artificial intelligence and neural network technologies are increasingly being used in the educational process, including in teaching physics. Neural network technologies allow you to personalize the learning process, adapting the material to the level of knowledge of each student, as well as automate knowledge verification and analyze typical errors. They are widely used in the creation of virtual laboratories, interactive simulations of physical phenomena and intellectual tutors, which makes learning more visual and accessible. However, along with the advantages, there are also challenges: the need for high-quality data to train models, the risk of reducing the role of a teacher, and issues of academic integrity. Despite this, the introduction of neural network technologies into education opens up new perspectives, increasing the effectiveness of learning and facilitating the development of complex physical concepts.