Creating a Proctoring System Using Neural Network in the Educational Process

The professional activity of a person depends on his knowledge, skills and abilities, and secondly, on the knowledge he has acquired through the professional environment and information-educational resources. Therefore, the improvement of knowledge is connected with the use of information in an educational setting. The emergence of big data and high-performance devices, the direction of artificial intelligence, and the method of machine learning became the basis for creating a modern informational and didactic educational environment using neural networks. Therefore, in the context of the globalization of education, the issue of making and using an information portal is considered to improve the training of future computer science teachers based on machine learning and to increase the professional competence of computer science teachers currently working in the field of education. The article mentions the following parts of the use of machine learning algorithms in the creation and implementation of an information and education portal: organizing a server platform, using a second-level virtual hosting service, entering the system in real-time by creating a neural network through human face recognition, checking the performance of control work through voice recognition, passing the exam by proctoring the sections of the informational education portal, organizing a chatbot to establish feedback with users, and incorporating these topics into the general content of the informational education portal. Therefore, the article aims to develop an informative educational portal with the help of machine learning algorithms and master the methods of creating a system for students in the learning process. Theoretical and empirical research is being conducted to determine the prerequisites for training future computer science teachers based on machine learning methods. Research is being included in the educational process of students of the educational programs "6B01511-Informatics", "7M01511-Informatics", and "7M01525-STEM education" of the Eurasian National University named after L.N. Gumilyov. The result of creating a proctoring system based on neural networks is the basis for developing and implementing an informational educational portal. The development of the considered work is considered an information knowledge space that will be used in the training of future computer science teachers and in improving the professional competence of current computer science teachers.