Цифровизация в практической подготовке студентов технических вузов

Abstract

Importance. One of the key tasks of the production practice is the experience of transferring knowledge to independently solve new tasks. Modeling of production processes in virtual laboratories, VR training sessions, blockchain can be considered as technologies aimed at development the ability to data transfer, analyze, and systematize. Digitalization of practical training is able to solve the problems of non-standard thinking development, the need to strengthen the responsibility of students, the specialist qualification dependence on the digital technologies possession degree. The possibilities of digital technologies, intellectual information and educational systems in the focus of practical training of students and the development of thinking formed the purpose of the research. Materials and Methods. The review of information sources is carried out, the own experience of practical training organization is systematized. The survey method investigated the attitude of students to online interaction, the attitude of enterprises to the admission of trainees to production facilities. A model of the procedure for evaluating and storing practice results is proposed. Results and Discussion. Artificial intelligence and process automation shift the emphasis of education from algorithmized activities (reading material, drawing up a text plan, selecting key ideas, etc.) to the development of specific non-standard skills – the ability to find a non-stereotypical optimal solution, conduct expertise, apply knowledge in unusual conditions. At the same time, the reduction in the volume of subject material allows us to pay more attention to the development of non-routine actions, autonomy in the workplace, and the development of a proactive attitude to the profession. The virtual model of the technological process allows to see in detail any element of the complex, while the VR operator perceives the object and forms a response. The analysis of the spatial position and state of the object, the transfer of existing theoretical knowledge into a specific production situation, the formation of an objects holistic perception develop both thinking and practical skills. Evaluation of students practical training results with the use of blockchain increases the efficiency of the process, makes the data storage system reliable. Conclusion. Modernization of vocational education through the introduction of adaptive and practice-oriented educational programs, learning and evaluation algorithms based on artificial intelligence solutions will ensure effective digital training.