Abstract
It is proposed the training process of qualified specialists in accordance with the needs of a person and the requirements of the labor market in the smart city to be presented in the form of five consecutive functional stages: determination of professional inclinations and abilities; monitoring of the urban labor market; a choice of the future profession; a choice of educational institution; formation of an individual learning trajectory. The model of the data analysis process of career orientation testing with obvious uncertainty and hidden redundancy is presented. For storing and analyzing big data, it is suggested to use data warehouses and the model of data warehouse of the complex assessment of educational institution activities is provided. The diffusion-liked model of the multicomponent knowledge potential dissemination is described and variants of the problem solution of identifying the component parameters of the knowledge potential are described, with the aim of their further usage for the formation of individual learning trajectories. The architecture of the software and algorithmic complex of information and technological support of the processes for specialist training in the smart city is developed.
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Bomba, A., Kunanets, N., Nazaruk, M., Pasichnyk, V., Veretennikova, N. (2019). Information Technologies of Modeling Processes for Preparation of Professionals in Smart Cities. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_69
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