System Information Justification of the Conformity Criteria of Systems Advantages of the Participants of the Educational Process
DOI:
https://doi.org/10.32405/2413-4139-2020-1(28)-70-78Keywords:
synergy, catastrophe theory, academic disciplines, innovative information technologies, spline functionsAbstract
The article states that, on the one hand, effective management of the educational process is possible under
the conditions of using informative qualitative “indicators”, and on the other hand, the activities of subjects
and objects of this process are the essence of a continuous chain of decisions that are made and implemented
in explicit and implicit forms and under the influence of many factors of different nature and sources of origin.
The relationship between the components of the influence of the human factor on decision-making and
the attitude of the participants of the educational process to its indicators and characteristics, which determine
both the effectiveness of implemented pedagogical measures and the point of bifurcation in the emergence of a
synergistic effect in education, is established.
The systemic content of the definition of “pedagogical measurement” was provided by N. Rosenberg, one
of the founders of the Russian pedagogical cybernetics, noting that it is a cognitive process that consists of the
fact that, on the basis of a numerical system (or class system) obtained earlier, an isomorphic empirical system
with relations that experimentally determine the quantitative values of quantities characterizing some features
of pedagogical objects or phenomena, or indicate the class to which they belong.
The uncertainty of the educational process and the subjectivity of expert qualimetry have a negative
impact on the “accuracy” of measuring its indicators and characteristics, and therefore on the quality of the
corresponding modeling and mathematical description, and therefore on improvement. In the context of the
article, the system of preferences of subjects and objects of the educational process is considered. The concept
of an ordered number of indicators, characteristics, objects and phenomena of this process is included in the
content of the definition “system of advantages”: from the more acceptable, significant, useful, etc. in the
imagination of the measurers to the less important. Formulated a range of criteria that determine the consistency of opinions (group preference systems) of the participants of the specified process in relation to the knowledge
of its indicators and characteristics. That allows for a more complete and comprehensive investigation of the
specified consistency, and therefore increases the reliability of the corresponding conclusions in the management process.
Downloads
References
1. Kharrynhton, Dzh. (2007). Sovershenstvo upravlenyia protsessamy [Excellence in process
management]. Moscow, 192 p. [in Russian].
2. Kamyshyn, V. V., & Reva, O. M. (2012). Metody systemnoho analizu u kvalimetrii navchalno
vykhovnoho protsesu [Methods of system analysis in qualimetry of the initial-vyhovny process]. Kyiv, 270 p.
[in Ukrainian].
3. Kamyshyn, V. V., Reva, O. M., & Trushkovskyi, K. Yu. (2016). Rozrobka strukturnoi modeli systemno
informatsiinoi kvalimetrii v upravlinni rozvytkom akademichnoi obdarovanosti [Development of a structural
model of system-information qualimetry in the management of development of academic talent]. Osvita ta
rozvytok obdarovanoi osobystosti – Education and development of a gifted personality. 12 (55). P. 5–11. [in
Ukrainian].
4. Dmytrenko, H. A., Anufriieva, O. L., Burlaienko, T. I., & Medvid, V. V. (2016). Kvalimetriia v
upravlinni: humanistychnyi kontekst [Qualimetrics in management: humanistic context: teaching. way]. Kyiv,
335 p. [in Ukrainian].
5. Rozenberh, N. M. (1979). Problemy izmerenii v didaktike [Measurement problems in didactics]. Kyiv,
175 p. [in Russian].
6. Еdvards, U. (1991). Pryniatye reshenyi. Chelovecheskyi faktor : v 6-ty t. [Decision making. The human
factor: in 6 volumes]. Moscow, P. 5–89. [in Russian].
7. Khodakov, V. Ye., Pylypenko, N. V., & Sokolova, N. A. (2005). Vstup do kompiuternykh nauk
[Introduction to computer science]. Kyiv, 496 p. [in Ukrainian].
8. Saimon, H. A. (2000). Teoryia pryniatyia reshenyi v ekonomycheskoi teorii i v nauke o povedenyy
[Theory of decision-making in economic theory and in the science of behavior]. Vekhy ekonomycheskoi mysli –
Milestones of economic thought. St.Peterburg. P. 54–72. [in Russian].
9. Reva O. M., Kamyshyn V. V., Radetska S. V., Malynovshevska A. V., Burdelna Ye. A., & Lypchanska,
L. M. (2019). Metody i modeli kvalimetrii synerhetychnoho efektu u dydaktytsi [Methods and models of
synergetic effect qualimetry in didactics]. Kyiv, 235 p. [in Ukrainian].
10. Nadezhnost y effektyvnost v tekhnike : spravochnyk v 10 t. [Reliability and efficiency in technology:
reference book in 10 volumes] (1988). Moscow, 328 p. [in Russian].
11. Samokhvalov, Yu. Ya., Naumenko, E. M. (2007). Ekspertnoe otsenivanie: metodycheskii aspekt
[Expert evaluation: Methodical aspect]. Kyiv, 362 p. [in Russian].
12. Hrabovetskyi, B. V. (2010). Metody ekspertnykh otsinok: teoriia, metodolohiia, napriamky
vykorystannia [Methods of expert evaluations: theory, methodology, directions of use]. Vynnytsia, 171 p. [in
Ukrainian].
13. Kozeletskyi, Yu. (1979). Psykholohycheskaia teoryia reshenyi [Psychological decision theory].
Moscow, 504 p. [in Russian].
14. Horbunov, V. V. (2009). Ekspertnaia otsenka – mery obektivizatsii subektivnoho mneniia [Expert
assessment - measures of objectification of subjective opinion]. Meditsina truda y promyshlennaia ekolohii –
Occupational medicine and industrial ecology. 2. P. 41–46. [in Russian].
15. Nychyporenko, S. V. (2017). Subiektyvni otsinky v doslidzhenni liudskoho rozvytku [Subjective
assessments in the study of human development]. Demohrafiia ta sotsialna ekonomika – Demography and
social economy. 2. P. 112–125. [in Ukrainian].
16. Parkynson, S. N. (2003). Zakony Parkinsona [Parkinson’s Laws]. Moscow, 400 p. [in Russian].
17. Tarasov, V. A., Herasymov, B. M., Levyn, Y. A., & Korneichu, V. A. (2007). Intellektualnye sustemi
podderzhki priniatyia reshenii: teoriia, syntez, effektyvnost [ Intelligent d ecision s upport s ystems: Theory,
synthesis, efficiency]. Kyiv, 336 p. [in Russian].
18. Miullep, P., Noiman, P., Shtopm, R. (1982). Tablitsi po matematycheskoi statistike [Tables on
mathematical statistics]. Moscow, 278 p. [in Russian].
19. Reva, O. M., Kamyshyn, V. V., Borsuk, S. P., Nevynitsyn, A. M., Shulhin, V. A. (2020). Liudskyi
chynnyk: Metodolohiia proaktyvnoi kvalymetrii zahroz pomylok aviadyspetcheriv [Human factor: Methodology
of proactive qualimetry of threat errors of air traffic controllers]. Kyiv, 126 p. [in Ukrainian].
20. Reva, O. M., Borsuk S. P., Kamyshyn, V. V. (2021). Tekhnolohiia usunennia statystychnoi pokhybky
«toho, khto vyzhyv», vyznachenni u stavlenni aviadyspetcheriv do nebezpek pomylok [Technology of
elimination of statistical error of “the one who lived”, definition in the relation of air traffic controllers to dangers
of errors]. Aktualni problemy bezpeky na transporti, v enerhetytsi, infrastrukturi [Actual safety problems. on
transport, energy, infrastructure]: International scientific-practical conf. (Lazurne, September 8–11, 2021).
Kherson, P. 112–116. [in Ukrainian].
