Modeling Interdisciplinary Connections and Assessing Their Effectiveness in Educational Technologies

  • Vladimir Zhukov Ivanovo State Power Engineering University named after V. I. Lenin, Rabfakovskaya ul. 34, Ivanovo, 153003, Russian Federation
  • Valery Ochkov National Research University "Moscow Power Engineering Institute", Krasnokazarmennaya ul. 14, buil. 1, Moscow, 111250, Russian Federation
  • Irina Akhmetova Kazan State Power Engineering University, Krasnoselskaya ul. 51, Kazan, 420066, Russian Federation
  • Elena Petrova Moscow Pedagogical State University, Malaya Pirogovskaya ul. 1, buil. 1, Moscow, 119435, Russian Federation
  • Yulia Shatskikh National Research University "Moscow Power Engineering Institute", Krasnokazarmennaya ul. 14, buil. 1, Moscow, 111250, Russian Federation
Keywords: interdisciplinary connections, knowledge synthesis, matrix modeling, educational technology criteria.

Abstract

It is well known that the structure of an educational technology largely determines the quality and cost of instruction. Despite many years of practical experience in using educational technologies, the improvement of these technologies continues to the present day. One of the most effective and low-cost methods for enhancing the educational process is the use of appropriate mathematical models. One such model, which allows for a new understanding of educational technology and provides practical recommendations based on it, is the matrix model of learning.

Author Biographies

Vladimir Zhukov, Ivanovo State Power Engineering University named after V. I. Lenin, Rabfakovskaya ul. 34, Ivanovo, 153003, Russian Federation

Dr. Sci. (Tech.), Professor at Ivanovo State Power Engineering University, zhukov-home@yandex.ru

Valery Ochkov, National Research University "Moscow Power Engineering Institute", Krasnokazarmennaya ul. 14, buil. 1, Moscow, 111250, Russian Federation

Dr. Sci. (Tech.), Professor at MPEI​, ochkovvf@mpei.ru

Irina Akhmetova, Kazan State Power Engineering University, Krasnoselskaya ul. 51, Kazan, 420066, Russian Federation

Dr. Sci. (Tech.), Head of Department, KGEU, irina_akhmetova@mail.ru

Elena Petrova, Moscow Pedagogical State University, Malaya Pirogovskaya ul. 1, buil. 1, Moscow, 119435, Russian Federation

Dr. Sci. (Pedagogy), Professor at MPGU, eb.petrova@mpgu.su

Yulia Shatskikh, National Research University "Moscow Power Engineering Institute", Krasnokazarmennaya ul. 14, buil. 1, Moscow, 111250, Russian Federation

Cand. Sci. (Tech.), Head of Department of Theoretical Electrical Engineering, MPEI​, shatskih_jv@mail.ru

References

V. P. Zhukov, A. N. Belyakov, and A. E. Barochkin, Matrix Modeling of Technological Systems, Ivanovo, Russia: Iz-vo IGEU, 2020 (in Russian).

G. G. Kadamceva, V. P. Zhukov, V. E. Mizonov, and V. V. Komlev, “Optimization of the structure of university education,” in Proc. XIX Int. Conf. Mathematical Methods in Engineering and Technology (MMTT-19) [Abstracts], Voronezh, Russia, 2006 (in Russian).

V. V. Komlev, V. P. Zhukov, V. E. Mizonov, and G. G. Kadamceva, “Mathematical modeling and structural optimization of educational technologies,” Vestnik ISEU, no. 3, pp. 56–59, 2006 (in Russian).

V. V. Komlev, V. P. Zhukov, V. E. Mizonov, and G. G. Kadamceva, “Structural optimization and quali- ty management of educational technologies,” Modern High Technologies, no. 1, pp. 20–23, 2006 (in Russian).

D. Wilson, Entropy Methods for Modeling Complex Systems, Moscow: Nauka, 1978 (in Russian).

Published
2025-10-01
How to Cite
Zhukov, V., Ochkov, V., Akhmetova, I., Petrova, E., & Shatskikh, Y. (2025). Modeling Interdisciplinary Connections and Assessing Their Effectiveness in Educational Technologies. Computer Tools in Education, (3). https://doi.org/10.32603/2071-2340-2025-3-6
Section
Computer science