System Transformation of the Mathematical Model for the Process of Forgetting the Knowledge Obtained by a Student at Lecture and the Method of its Identification

Authors

  • B. I. Mokin Vinnytsia National Technical University
  • O. O. Voitsekhovska Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1997-9266-2020-149-2-50-57

Keywords:

forgetting of knowledge, bands of forgetting, speed of forgetting, synergistic memory component, mathematical model, iterative way of identification, optimal parameter estimates

Abstract

Systematic transformation of the mathematical model for the process of forgetting the knowledge obtained at the lectures was carried out by an “excellent students” (with a high level of memory) with reference to the “bands of forgetting” characteristic for this category of students; obtained by “intermediate students” (with good memory) with an attachment to the “bands of forgetting” characteristic of this category of students; obtained by mediocre students (with the same median level of memory) with an attachment to the category of “bands of forgetting” characteristic of this category; obtained by students with a grade point average lower than average but able to receive a satisfactory grade in the process of no more than two examinations with an attachment to the student's “bands of forgetting” category; and those obtained by poorly performing students who must either be deducted or retained for a student with a “bands of forgetting” characteristic of this category.

System-transformed mathematical model is implemented in relative time and contains three basic parameters, one of which characterizes the rate of forgetting by the student of the information obtained at the lecture, the second characterizes the synergistic component that slows down the process of forgetting, and the third characterizes that component of the received information that remains in student’s memory forever.

On the basis of the least squares criterion, a method of identification of a systematically transformed mathematical model for the process of forgetting the knowledge obtained at the lectures by students of the categories listed above was implemented using computational structures tied to the corresponding “bands of forgetting”, through which an iterative method of obtaining optimal estimates is realized above.

Author Biographies

B. I. Mokin, Vinnytsia National Technical University

Academician of NAPS of Ukraine, Dr. Sc. (Eng.), Professor, Professor of the Chair of Electromechanical Systems of Automation in Industry and Transport, Professor of the Chair of System Analysis, Computer Monitoring and Engineering Graphics

O. O. Voitsekhovska, Vinnytsia National Technical University

Post-Graduate Student, Assistant of the Chair of System Analysis, Computer Monitoring and Engineering Graphics

References

Б. І. Мокін, і О. О. Войцеховська, «Удосконалення ймовірнісної математичної моделі процесу забування інформації, отриманої студентом на лекції,» Вісник Вінницького політехнічного інституту, № 4, с. 49-57, 2019.

Б. І. Мокін, А. В. Писклярова, і О. Б. Мокін, «Дослідження впливу синергетичної складової у математичній моделі процесу засвоєння студентом навчальної дисципліни,» Інформаційні технології та комп’ютерна інженерія, № 2, с. 9-14, 2013.

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Б. І. Мокін, і О. Б. Мокін, «Підвищення ступеня адекватності моделі процесу забування знань,» Вісник Вінницького політехнічного інституту, № 4, с. 116-121, 2013.

В. Н. Тутубалин, Теория вероятностей. Москва: изд-во Московского университета, 1972, 230 с.

Б. І. Мокін, В. Б. Мокін, і О. Б. Мокін, Математичні методи ідентифікації динамічних систем, навч. посіб. ВНТУ, Вінниця, Україна: ВНТУ, 2010, 260 с.

Я. З. Цыпкин, Адаптация и обучение в автоматических системах. Москва: изд-во «Наука», 1968, 400 с.

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Published

2020-04-30

How to Cite

[1]
B. I. Mokin and O. O. Voitsekhovska, “System Transformation of the Mathematical Model for the Process of Forgetting the Knowledge Obtained by a Student at Lecture and the Method of its Identification”, Вісник ВПІ, no. 2, pp. 50–57, Apr. 2020.

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Information technologies and computer sciences

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