Digital Learning Characteristics and Principles of Information Resources Knowledge Structuring
Margarita Belichenko, Nitza Davidovitch, Yuri Kravchenko
APA 6th edition
Belichenko, M., Davidovitch, N., & Kravchenko, Y. (2017). Digital Learning Characteristics and Principles of Information Resources Knowledge Structuring. European Journal of Educational Research, 6(3), 261-267. doi:10.12973/eu-jer.6.3.261
Belichenko M., Davidovitch N., and Kravchenko Y. 2017 'Digital Learning Characteristics and Principles of Information Resources Knowledge Structuring', European Journal of Educational Research , vol. 6, no. 3, pp. 261-267. Available from: http://dx.doi.org/10.12973/eu-jer.6.3.261
Chicago 16th edition
Belichenko, Margarita , Davidovitch, Nitza and Kravchenko, Yuri . "Digital Learning Characteristics and Principles of Information Resources Knowledge Structuring". (2017)European Journal of Educational Research 6, no. 3(2017): 261-267. doi:10.12973/eu-jer.6.3.261
Analysis of principles knowledge representation in information systems led to the necessity of improving the structuring knowledge. It is caused by the development of software component and new possibilities of information technologies. The article combines methodological aspects of structuring knowledge and effective usage of information resources which are designed for the scientific and methodological study of practical recommendations in Digital learning implementation. It is shown at the paper that one of the most important problems, which face the processing of knowledge or construction systems, is knowledge representation. The main idea of the paper is increasing the efficiency at the university learning process on the basis of a possible applications and rational structuring knowledge. The proposed concept of using information resources of Digital Learning is based on the idea of using the principles of abstraction, encapsulation, modularity, hierarchy, typing, concurrency preservation and implementation in such stages of this process as algorithmic support of knowledge structuring and structured transfer of knowledge to students. The topic of the article is unique as we try to see Digital learning in multidisciplinary aspects: education, mathematics, statistics. The article combines a theoretical approach to structuring knowledge that is based on the integrated usage of fuzzy semantic network, theory of predicates, Boolean functions, theory of complexity of network structures and practical aspects and ways of construction Digital Learning Systems at the University.
Keywords: Information resources, knowledge structuring, digital learning, fuzzy semantic network, knowledge representation, higher education.
Altbach, P. G. (2007). Introduction: The underlying realities of higher education in the 21st century. In P. G. Altbach, & P. M. Peterson (Eds.), Higher education in the new century: Global challenges and innovative ideas. Rotterdam/Taipei: Sense Publishers.
Aliev R.A. (1990) Production systems with artificial intelligence / Aliev R.A, Abdikeev N.M, Shakhnazarov M.M - M.: Radio and Communication, - 264 p.
Altbach, P. G., Reisberg, L., & Rumbley, L. E. (2009). Trends in global higher education: Tracking an academic revolution. Report prepared for the UNESCO2009 World Conference on Higher Education, Paris: United National Educational, Scientific, and Cultural Organization.
Bridges, D., Juceviciene, P., Jucevicius, R., Mclaughlin, T. H., & Stankeviciute, J. (Eds.). (2014). Higher education and national development: Universities and societies in transition. London: Routledge.
Buch G. (1992). Object-oriented programming / Buch G. - M.: Concord, - 519 p.
Bushuyev, S., & Bushueva, N. (2010). Project Management. Fundamentals of professional knowledge and competence assessment system of project managers (National Competence Baseline, NCB UA Version 3.1).
Bykov V., & Kucherenko V. (2005) Distance learning process: a tutorial [ed.]. - K: Millennium, - 292 p.
Iegorchenkov, O. V., Lisitsyn, O. B., & Kataev, D. S. (2012). Optimization of information management in product design management system. Management of Complex Systems, 13, 28-31.
Kukharenko V. V. (2001). Practice of distance learning: a manual. - Kharkiv: NTU "KhPI", - 124 p.
Kravchenko Yu. V. (2009). Concept of the structure of the informational resource of the remote systems / Kravchenko Yu. V., Oksiuk OG // In the context of information technology in the sphere of safety and defense. - K.: - No. 1 (4). - P. 6-11.
Kravchenko Yu. V. (2009). Mathematical model of a complex social system / Kravchenko Yu.V., Lobanov AA, Oksiuk AG // The material of the international scientific conference "Intellectual systems in making decidions and solving problems of the enumerative telecommunication (ISDMCI'2009)". - Kherson: KhNTU, - P. 56-57.
Kravchenko Yu. V. (2003). Methodology of multicriterial discrete optimization of complex technical systems on matroid structures / Yu. V. Kravchenko, V. V. Afanasyev // Scientific Journal ІПМ в Еіі. G. Є. Puhov vip. 22 - 1. - K.: ІPМ в Е ім. G. Є. Pukhova - P. 73 - 78.
Kravchenko Yu. V. (2010). The model of representation of knowledge on the basis of predicates and fuzzy semantic networks / Kravchenko Yu. V., Oksiuk AG, Andrushchenko VN // Materiels of the international scientific conference "Intellectual systems in making desicions and problems of the enumerative telecommunications" (ISDMCI '2010). " - Kherson: KhNTU, - P. 156.
Tesla, J. M., Inosova, S. V., Timinskyy, O. G., & Iegorchenkov, O. V. (2010). Interpretation and use of the uncertainty principle in project management. Management of Complex Systems, 3, 33-36.