Artificial Intelligence in the Educational Process of Students of Specialty 132 Material Science

Abstract. Problem. A current problem in recent years is an increase in interest in artificial intelligence, which is due to a significant increase in the power of computing equipment, as well as the availability of data through the global Internet network. The use of artificial intelligence is observed in many fields, in particular in materials science. Today, in the educational process, the issues of creating new materials, predicting properties, additional generation of design features of products are also being solved with the help of artificial intelligence. Goal. The goal of the research in the paper is to demonstrate the use of artificial intelligence in the educational process for students of higher education in the specialty 132 Materials science on the example of teaching the discipline of the selective block "Artificial intelligence in educational technologies". Methodology. Research methods for the application of the platform offer the opportunity to visualize the atomic structures of materials in a three-dimensional format. It helps students analyze material geometry, symmetry, and the spatial arrangement of atoms. Originality. The Materials Project platform is a powerful tool for analyzing and predicting material properties. Due to the fact that it is based on machine learning and provides open online access to the material base, this platform is promising for implementation in the practical activities of students within the discipline "Artificial Intelligence in Educational Technologies". Practical value. The practical training tasks described, which help to acquire the skills of materials scientists, may be used in the field of materials science and related disciplines in the future. The use of software products, in particular the Materials Project database, for the analysis of physico-chemical and mechanical properties of materials is demonstrated.