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Network planning methodology in the problem of adaptive learning of university students

https://doi.org/10.32517/0234-0453-2020-35-8-45-56

Abstract

The article proposes a methodology of network planning in the problem of adaptive learning of university students. The elements of network planning are briefly presented, the use of adaptive learning methods in the educational process is described. The learning process in the university is considered, and the possibilities of describing it using the formalism of network planning within some discipline are analyzed. The developed technique for assessing the performance of tasks is given. The process of interaction between a teacher and a student in the learning process is described in terms of assessing the sequence of this interaction and the parameters of the proposed algorithm. The developed model of the discipline in the form of a linear sequence of actions for the study of the discipline is presented. To reflect the efforts made to obtain a learning outcome, a graphical representation of the discipline's network model is given. The results of the use of network graphics in the educational process within one discipline are presented. The formulas used to assess the student when using this technique are described. Several variants of passing the academic discipline by a student are considered, analytical data obtained by comparing these variants are presented. A computer program designed to support the developed technique is presented. The results of using the proposed methodology for assessing the study of a discipline by a university student are analyzed. The study of the methodology presented in the article can be useful for both university teachers and students.

About the Authors

M. Yu. Kataev
Tomsk State University of Control Systems and Radioelectronics
Russian Federation

Mikhail Yu. Kataev - Doctor of Sciences (Engineering), Professor, Professor at the Department of Automated Control Systems, Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics.
634050, Tomsk, prospect Lenina, 40.



A. A. Sukhorukov
Tomsk State University of Control Systems and Radioelectronics
Russian Federation

Alexander A. Sukhorukov - master student, Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics.
634050, Tomsk, prospect Lenina, 40.



L. A. Bulysheva
Old Dominion University
United States

Larisa A. Bulysheva - Candidate of Sciences (Engineering), Associate Professor at the Department of Information Technology and Decision Making, Old Dominion University.
23529, Norfolk, VA.



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Review

For citations:


Kataev M.Yu., Sukhorukov A.A., Bulysheva L.A. Network planning methodology in the problem of adaptive learning of university students. Informatics and education. 2020;(8):45-56. (In Russ.) https://doi.org/10.32517/0234-0453-2020-35-8-45-56

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)