Determination of the principles of organizing educational counseling in institutions of higher education

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DOI: https://doi.org/10.30929/2307-9770.2022.10.04.01

Paper Language: UKR

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Abstract

The article considers the issue of improving the efficiency of educational information acquisition by future electrical engineering students. Several methods for forming the timetable of tutorials are analyzed, which ensure the increase of fundamental and practical knowledge levels, the ability to work with technical equipment, and solve non-standard situations that might happen in working conditions. Streamlining of tutorials timetable was proved by the main principle of optimization of this process. The research was carried out on the example of teaching technical subjects of study to students during the academic semester. Subjects of the study were taught cyclically within two weeks. Processing of the results was carried out by methods of mathematical modeling and harmonic analysis. The obtained results were verified using a cybernetic model of the learning process by introducing the proposed optimal timetable of tutorials into the general timetable of classes. The survey proved the efficiency of educational information acquisition by electrical engineering students. As criteria for evaluating the efficiency of educational information acquisition, it is proposed to consider the mathematical expectation and dispersion of acquisition on the cycle interval. Based on the optimization approach and using the methods of harmonic analysis and mathematical modeling, the principle of increasing the efficiency of assimilation of educational information by electrical students, i.e. placing different forms of organization of training in a stable schedule, is determined. It has been proven that the introduction of additional consultations into the schedule according to the developed principle allows to even out the discreteness of information delivery, which increases the mathematical expectation of learning by 50% and reduces the variance by 1.8 times, significantly increasing the level of student training.

Keywords

human and machine systems, information acquisition, information presentation schedule, dispersion, cybernetic model

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