The method of centralised distribution of electronic educational resources in academic e-learning

• Autorzy: Smatkov Sergei , Kuchuk Nina , Sieja Marek

Identyfikatory

DOI

10.4467/2353737XCT.19.026.10162

Warianty tytułu

PL

Metoda scentralizowanej dystrybucji elektronicznych zasobów edukacyjnych przez e-learning akademicki

• Języki publikacji: EN

Abstrakty

EN

In this article, a method of centralised distribution of university e-learning electronic educational resources is proposed. E-learning is seen as a complex organisational hierarchy. The method applied in this article is based on n structured analysis of the problems and objectives of the system. The method considers electronic educational resources for e-learning. The advantages of the proposed method include the timely completion of multi-session e-learning and the availability of a reserve of electronic educational resources.

PL

W niniejszym artykule zaproponowano metodę scentralizowanej dystrybucji elektronicznych zasobów edukacyjnych akademickiego e-learningu. E-learning jest postrzegany jako złożona hierarchia organizacyjna. Metoda zastosowana w tym artykule opiera się na analizie struktury problemów i celów systemu. Metoda uwzględnia elektroniczne zasoby edukacyjne dla e-learningu. Zaletami proponowanej metody są między innymi terminowe ukończenie wielosesyjnego e-learningu i dostępność względnej rezerwy elektronicznych zasobów edukacyjnych.

Słowa kluczowe

EN

e-learning; electronic educational resources; hierarchical structure

PL

e-learning; elektroniczne zasoby edukacyjne; struktura hierarchiczna

• Wydawca: Wydawnictwo Politechniki Krakowskiej im. Tadeusza Kościuszki
• Czasopismo: Technical Transactions
• Rocznik: 2019
• Tom: Vol. 116, iss. 2
• Strony: 119--128
• Opis fizyczny: Bibliogr. 12 poz., wz., wykr.

Twórcy

autor

Smatkov Sergei

• Computer Science School of the V.N. Karazin Kharkiv National University, Kharkiv, Ukraine

autor

Kuchuk Nina

• School of Computer Science, Department of Theore-tical and Applied System Engineering, V.N. Karazin Kharkiv National University, Kharkiv, Ukraine

autor

Sieja Marek

• Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology

Bibliografia

• [1] Prakash M.N., Metadata-driven Software Systems in Biomedicine: Designing Systems that can adapt to Changing Knowledge, Springer Science & Business Media, 387 h., 2011.
• [2] Buede D.M., The Engineering Design of Systems Models and Methods, John Wiley & Sons, 2009.
• [3] Fang Sh., Dong Y., Shi H., Approximate Modeling of Wireless Channel Based on Service Process Burstiness, Proceedings of the International Conference on Wireless Networks (ICWN); Athens 2012: 1-7. Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing, (WorldComp), available at: http://www.worldacademyofscience.org/worldcomp12/ws/program/icw18.html (accessed: June 23, 2017).
• [4] Kuchuk G., Kovalenko A., Kharchenko V., Shamraev A., Resource-oriented approaches to implementation of traffic control technologies in safety-critical I&C systems, [in:] eds. V. Kharchenko, Y. Kondratenko, J. Kacprzyk, Green IT Engineering: Components, Network, and Systems Implementation, Vol. 105. Springer International Publishing, 2017.
• [5] Campus Network for High Availability Design Guide (2008), available at: https://www.cisco.com/c/en/us/td/docs/solutions/ Enterprise/Campus/HA_campus_DG/hacampusdg.html (access: 11.11.2018).
• [6] Sobieraj M., Stasiak, M, Weissenberg, J., Analytical model of the single threshold mechanism with hysteresis for multi-service networks, IEICE Transactions on Communications, 2017, Vol. E95.B No. 1, pp. 120-132.
• [7] Kuchuk, G., Kharchenko, V., Kovalenko, A., Ruchkov E., Approaches to Selection of Combinatorial Algorithm for Optimization in Network Traffic Control of Safety-Critical Systems, Proceedings of IEEE East-West Design & Test Symposium 2016 (EWDTS’2016), pp. 384-389.
• [8] Moscholios I.D., Logothetis M.D., Vardakas J.S., Performance metrics of a multirate resource sharing teletraffic model with finite sources under the threshold and bandwidth reservation policies, IET Networks, 2015, Vol. 4, Issue 3, pp. 195–208, available at: http://digitallibrary.theiet.org/content/journals/ 10.1049/iet-net.2014.0050 (accessed: June 23, 2017).
• [9] Mozhaev O. Kuchuk H., Kuchuk N., Mozhae, M., Lohvynenco M., Multiservise network security metric, IEEE Advanced information and communication technologies – 2017, Proceedings of the second internetional conference, Lviv, 4-7 July 2017, pp. 133-136.
• [10] Kuchuk N., Mozhaev O., Kuchuk H., Mozhaev M., Method for calculating of e-learning traffic peakedness, IEEE 4-th International Scientific – Practical Conference Problems of Infocomunications, Science and technology, October 10-13, 2017, Kharkiv, Ukraine, pp. 359-362.
• [11] Quinlan J.R., Simplifying decision trees, International Journal of Man-Machines Studies, 1987, No. 27, pp. 221-234.
• [12] Wach K., MOOCs jako otwarte zasoby edukacyjne wspierające edukację dla przedsiębiorczości, Horyzonty Wychowania, vol. 17, no. 44, 2018.

Uwagi

EN

Section "Electrical Engineering"

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).