Nauka innov. 2012, 8(5):11–22
https://doi.org/10.15407/scin8.05.011

A.V. Shevchuk
Institute of Regional Research NAS of Ukraine, Lviv

 

Self-Organization, Enthropy in Nature and Economic Mathematical Models and Computer Simulations as Instruments for Search of Innovative Ways of Higher Education Progresss

Section: Scientific Basis of Innovation Activity
Language: Ukrainian
Abstract: The critical review of mathematical models and computer simulations as instruments for search of innovative ways of higher school development is done. It is shown that today computer simulations, which are already used in practice to determine optimum of student contingent, university staff, amount of audiences etc. in the national educational systems depending on a demographic situation and financial possibilities of one or another country, are the most important. The autonomous educational systems are considered as dissipative structures, while it is shown that their existence, which is alienated from production, contradicts to the laws of physics and the nature of these structures. To correct the situation reassignment of higher school, at least in terms of vitally necessary specialties relevant to industrial dissipative structures, is proposed.
Key words: higher school, simulation model, dissipative structure.

References:
1. Ahromeeva T.S., Kapustin M.A., Kashhenko S.A. i dr. Novye napravlenija sistemnogo analiza i komp'juternogo modelirovanija obrazovatel'noj strategii i politiki Rossi. Preprint IPM No. 89, Moskva, 2001 [in Russian].
2. Novikov V.P., Sydorov Ju.I., Shved O.V. Suchasnyj stan i problemy vykladannja biotehnologii' v politehnichnyh universytetah Ukrai'ny. Novi tehnologii' navchannja: Nauk.-metod. Zb. Instytut innovacijnyh tehnologij i zmistu osvity MON Ukrai'ny. Kyiv, 2009. Vyp. 56. S. 25-33 [in Ukrainian].
3. Refleksivnye processy i upravlenie. III mezhdunarodnyj simpozium 8-10 oktjabrja 2001, Moskva. Tezisy. Pod red. A.V. Brushlinskogo i V.E. Lepskogo. Moskva: Institut psihologii RAN, 2001. 242 s. [in Russian].
4. Bush J., Hunt J. New Higher Education Model . October 6, 2011  www.insidehighered.com/views/2011/10/06/bush_hunt_essay
5. Jak zminylasja osvita v Ukrai'ni za 20 rokiv nezalezhnosti. Osvita.UA.  osvita.ua/home/aktual/22193/ [in Ukrainian].
6. Ismagilova L.A. Model' territorial'nogo razmeshhenija obektov sfery uslug. Vestnik UGATU. 2009. T. 12, No. 3 (32). S. 134-140 [in Russian].
7. Kobelev N.B. Osnovy imitacionnogo modelirovanija slozhnyh jekonomicheskih sistem. Moskva: Delo, 2003. 336 s. [in Russian].
8. Kalashnikova E.A. Ocenka konkurentosposobnosti vuzov. Aktual'nye problemy gumanitarnyh i estestvennyh nauk. 2010. No. 4. S. 130-132. www.publikacia.net/arhiv/042010.pdf [in Russian].
9. Kozyk V.V., Sydorov Ju.I., Skvorcov I.B., Tarasovs'ka O.B. Zastosuvannja modeli Lotki-Vol'terra dlja opysu duopol'no-duopsonijevoi' konkurencii' . Aktual'ni problemy ekonomiky. 2010. No. 2(104). S. 252-260 [in Ukrainian].
10. Andersen E.S., Valente M. Model Exploration and Extension in the Laboratory for Simulation Development. Chapter 1: Introduction to Artificial Evolutionary Processes . Danish Research Unit for Industrial Dynamics (DRUID) Artifical Economic Evolution. Draft. 2002.
http:.www.business.aau.dk/evolution/esapapers/esa02/andval1.pdf
11. Chang G.-C. Application of Computer Simulation in Education Development Planning / ED/EPS/2006/PI/12 October 2006  
unesdoc.unesco.org/images/0015/ 001501/150192e.pdf
12. Taremwa D. Simulation Model for Resource Optimization in Higher Education Institutions (September, 2009). dspace.mak.ac.ug/bitstream/123456789/ 504/3/ taremwa...
13. NetLogo Home Page - The Center for Connected Learning and ... - ccl.northwestern.edu/netlogo
14. The Economic Impact of The Higher Education System Of the State of Oklahoma.  www.okhighered.org/econ-dev/econ-impact-remi-9-08.pdf
15. Kapica S.P., Kurdjumov S.P., Malineckij G.G. Sinergetika i prognozy budushhego. Ser. «Kibernetika: neogranichennye vozmozhnosti i vozmozhnye ogranichenija». Moskva: Nauka, 1997. 285 s. [in Russian].
16. Malineckij G.G., Ravljuk S.G., Stepancov M.E. Matematicheskoe modelirovanie i prognozirovanie dinamiki vozrastnoj struktury uchitelej srednih shkol Rossii. Preprint Instituta prikladnoj matematiki im. M.V. Keldysha RAN, 2005, No. 90. www.keldysh.ru/papers/2005/prep90/prep2005_90.html [in Russian].
17. Stepancov M.E. Matematicheskaja model' napravlennogo dvizhenija gruppy ljudej. Matematicheskoe modelirovanie. 2004. T. 16, No. 3. S. 43-49 [in Russian].
18. Trifonova L.B. Modelirovanie uchebnogo processa na osnove dinamiki statisticheskih raspredelenij.  aeli.altai.ru/.../2001/trifova_shapovalova.html [in Russian].
19. Fofanov I.S. Otechestvennaja praktika upravlenija vuzami. Razrabotka avtomatizirovannoj sistemy upravlenija. Aktual'nye problemy gumanitarnyh i estestvennyh nauk. Moskva: 2010. No. 4. S. 165-167.  www.publikacia.net/arhiv/042010.pdf [in Russian].
20. Alchian A., Demsetz H. Production, Information Costs, and Economic Organization. American Economic Review. 1972. V. 62. P. 777-795.
21. Prigozhin I., Stengers I. Porjadok iz haosa: Novyj dialog cheloveka s pri rodoj (Ilya Prigogine, Isabelle Stengers. ORDER OUT OF CHAOS: Man’s new dialogue with nature). per. s angl pod obshh. red. V.I. Arshinova, Ju.L. Klimontovicha i Ju.V. Sachkova. Moskva: Progress, 1986. 471 s. [in Russian].
22. Kozyk V.V., Sydorov Ju.I. Ponjattja entropii' v ekonomichnyh systemah. Problemy nauky. 2011. No. 7. S. 10-13 [in Ukrainian].
23. Knjazeva E.N. Vzrashhivat' social'nye innovacii - znachit upravljat' kreativno. http:.spkurdyumov.narod.ru/Knyazeva36.htm [in Russian].