Decision Support in the Educational Process of the University based on a Cognitive Learning Model using a Neural Network

The paper discusses the use of neural network technology to support decision-making in the educational process of a university using a cognitive learning model. A software solution has been developed for a digital profile of a student based on an electronic portfolio of students, using artificial intelligence algorithms, modern web technologies, as well as cognitive learning models. The neural network was trained on prepared student data, which was obtained using a specially developed psychodiagnostic complex. Using a digital profile allows students to track their learning process based on recommendations offered by a neural network, make optimal decisions, build personalized educational trajectories, and also adjust educational learning trajectories.