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Model of Integral Assessment of Innovation Implementation in Higher Educational Establishments

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The concept of innovative educational environment of higher education establishment is considered and its main components are highlighted. The model of the integrated assessment of implementing innovations in higher education establishment is constructed. The developed model for assessing the level of development of the innovative educational environment of a specific higher education establishment during a certain period has been applied and a graphical analysis of the calculation results has been carried out.
Twórcy
  • Vinnytsia Institute of Trade and Economics of Kyiv National University of Trade and Economics, Ukraine
  • Vinnytsia Institute of Trade and Economics of Kyiv National University of Trade and Economics, Ukraine
  • Vinnytsia Scientific-Educational Institute of Economics of Ternopil National Economical University, Ukraine
  • Lublin University of Technology, Lublin, Poland
  • East Kazakhstan State Technical University named after D. Serikbayev, Ust-Kamenogorsk, Kazakchstan
  • Institute Information and Computational Technologies CS MES RK and Almaty University of Power Engineering and Telecommunications, Kazakhstan
Bibliografia
  • [1] A. Blum, “The development of an integrated science curriculum information scheme,” European Journal of Science Education, vol. 3, pp. 1-5, 1981.
  • [2] O. A. Dubaseniuk, “Innovative educational technologies - the basis of modernization of university education,” in Educational innovative technologies in the process of teaching of educational disciplines, Ukrainian, 2004, pp. 3-14.
  • [3] L. W. Anderson, D. R. Krathwohl, P. W. Airasian, K. A. Cruikshank, R. E. Mayer, P. R. Pintrich, J. Raths, and M. C. Wittrock, A Taxonomy for Learning, Teaching, and Assessing: A revision of Bloom's Taxonomy of Educational Objectives, New York, Pearson, Allyn&Bacon, 2001.
  • [4] A. Kolupayeva, O. Taranchenko, and E. Danilavichute, Special Education Today in Ukraine, ed. A. F. Rotatori, J. P. Bakken, S. Burkhardt, F. E. Obiakor, U. Sharma, “Emerald Group Publishing Limited,” vol. 28, pp. 311-351.
  • [5] A.I. Oliynyk, “Information technologies as the basis and means of realization of innovative processes in modern education: author's dissertation for obtaining science’s degree of Candidate Philosophy Sciences: specialty 09.00.10,” in Philosophy of Education, Kyiv, 2008, pp. 22.
  • [6] Tuning educational structures in Europe a pilot project for higher education institute on supported by the European Commission. Available at https://media.ehea.info/file/Tuning_project/89/3/Tuning-EducationalStructures-Europe-executive-summary_575893.pdf
  • [7] S. A. Yaremko, and O.M. Kuzmina, “Simulation of data safety components for corporative systems,” Proceedings of SPIE 10445, 2017.
  • [8] N. Gilbert, and K. Troitzsch, Simulation for the Social Scientist, 1999.
  • [9] P. S. Zalabak, and G. Winograd, “Organizational Trust: What it Means, Why it Matters,” Organization Developmental Journal, vol. 18, no. 4, pp. 35–49, 2000.
  • [10] I. I. Nikolina, and M. V. Bondar, “Justification of the ways of enterprise development with using production functions,” Current problems of the economy, no. 4, pp. 416-426, 2016.
  • [11] A. O. Azarova, Mathematical risk models for decision support systems, Vinnytsya, UNIVERSUM–Vinnitsa, 2003, pp. 188.
  • [12] A.O. Azarova, Mathematical models of the evaluation of enterprise strategic potential and making decision concerning its improvement: monograph, ed. A. O. Azarova and O. V. Antoniuk, Vinnitsa, VNTU, 2012, pp. 168.
  • [13] V. V. Kruglov, Neural networks. Theory and practice, ed. V. V. Kruglov and V. V. Borisov, Moscow, Hotline - Telecom, 2002, pp. 382.
  • [14] A. P. Rotshtein, M. Posner, and H. B. Rakytyanska, “Cause and effect analysis by fuzzy relational equations and a genetic algorithm,” Reliability Engineering and System Safety, vol. 91, no. 9, pp. 1095-1101, 2006.
  • [15] A. P. Rotshtein, and H. B. Rakytyanska, “Diagnosis problem solving using fuzzy relations,” IEEE Transactions on Fuzzy Systems, vol. 16, no. 3, pp. 664-675, 2008.
  • [16] L. I. Timchenko, “A multistage parallel-hierarchic network as a model of a neuronlike computation scheme,” Cybernetics and Systems Analysis, vol. 36, no. 2, pp. 251-267, 2000.
  • [17] L. I. Timchenko, Y. F. Kutaev, V. P. Kozhemyako, et al.., “Method for training of a parallel-hierarchical network, based on population coding for processing of extended laser paths images,” Proceedings of SPIE 60678, 2002.
  • [18] M. F. Kirichenko, Yu. V. Krak, and A. A. Polishchuk, “Pseudo inverse and projective matrices in problems of synthesis of functional transformers,” Kibernetika i Sistemnyj Analiz, vol. 40, no. 3, pp. 116-129, 2004.
  • [19] Yu. V. Krak, “Dynamics of manipulation robots: Numerical-analytical method of formation and investigation of computational complexity,” Journal of Automation and Information Sciences, vol. 31, no. 1-3, pp. 121-128, 1999.
  • [20] T. Balova, N. Rokhas Kriulko, A. Kotyra, “System of knowledge extraction from ontology of electronic educational resource,” IAPGOŚ, vol. 2, no 3, pp. 3-4, 2012.
  • [21] V. Vassilenko, S. Valtchev, J. P. Teixeira, and S. Pavlov, “Energy harvesting: an interesting topic for education programs in engineering specialities,” Internet, Education, Science, pp. 149-156, 2016.
  • [22] S. I. Vyatkin, A. N. Romanyuk, Z. Y. Gotra, et al.., “Offsetting, relations, and blending with perturbation functions,” Proc. of SPIE 10445, 2017.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d77d4899-71b3-49c5-90c3-eeab8d00c72a
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