Sankt-Peterburg, St. Petersburg, Russian Federation
Russian Federation
Sankt-Peterburg, St. Petersburg, Russian Federation
The aim of the work is to increase the efficiency of teaching computer-aided design of printed circuit boards of ship integrated control systems (CAD PCB SICS) with forming an individual learning path, in which there is a need to move from traditional teaching to intelligent adaptive training. The research method is to analyze the peculiarities of forming an individual trajectory of teaching CAD PCB. Research results and novelty: an algorithm for implementing the training course at intelligent adaptive teaching CAD PCB SICS is developed; an algorithm for determining the complexity level of educational material for teaching CAD PCB by study priority is developed; Kohonen's algorithm for forming an intelligent adaptive environment of the educational process of teaching CAD PCB SICS is considered; an algorithm for adaptive testing with forming individual trajectories of teaching CAD PCB SICS is developed taking into account the student’s preferences and individual characteristics.
artificial intelligence, computer-aided design, printed circuit board, intelligent adaptive training system, artificial neural network, individual learning path
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