INFORMATION TECHNOLOGY OF THE ACQUIRING PROFESSIONAL COMPETENCIES PROCESS IN THE E-LEARNING MANAGEMENT SYSTEM ENVIRONMENT BY CONSTRUCTION AN EDUCATIONAL TRAJECTORY

Main Article Content

Helen Makogon
Tetiana Lavrut
Mykola Chornyi
Borys Matuzko
Wiesława Załoga

Abstract

The subject matter of the article is the construction of an educational trajectory in the environment of an electronic learning management system (ELMS). The goal of the study is the development of information technology ensures the effective use of web-resources in technical disciplines at a university for the acquisition of professional competencies in modern conditions. The tasks to be solved are: to organize the web environment in the e-learning management system (ELMS) for studying the discipline in a technical university on the principles of information technology; to construct  an educational trajectory for the acquisition of professional competencies in technical disciplines at a university according to Bloom’s taxonomy; to search ways to optimize the processing of information on web resources using the mathematical apparatus of graph theory; to develop of a recommendation on the construction of an educational trajectory for the professional competences acquisition. General scientific and special methods of scientific knowledge are used. The following results were obtained: The process of acquiring professional competences in the web-environment of the e-learning methodological complex is presented in the structure of information technology. Based on the functional distribution of teaching aids, a flowchart of the e-learning methodological complex and an algorithm for achieving the formed competence as the ultimate goal of the educational trajectory according to Bloom’s taxonomy have been created. The use of web-resources in technical disciplines at a university for the acquisition of professional competences is presented in the form of a network graph, the optimization of which provides recommendations for building an educational trajectory. Conclusions. The e-learning management system of the technical profile disciplines at the university is an information technology that ensures the implementation of an individual approach to learning and the gradual assimilation of educational material according to the principle “from simple to complex”. According to the functional purpose, learning tools can be divided into elements of the traditional system, which provide for an off-line learning format and elements of the distance learning system, which are part of the complex. In general, information technology for the acquisition of professional competences can be based on an educational trajectory based on Bloom’s taxonomy. In order to create conditions for effective information interaction between teachers and students, integration of applied software products, databases, as well as other teaching aids and methodological materials that provide and support the educational process, it is advisable to conduct it through decentralized placement of teaching materials on relevant web resources and organization of intermediate control in a manner sufficient to conclude on the formation of professional competence.

Article Details

How to Cite
Makogon , H. ., Lavrut , T. ., Chornyi , M. ., Matuzko , B. ., & Załoga, W. . (2024). INFORMATION TECHNOLOGY OF THE ACQUIRING PROFESSIONAL COMPETENCIES PROCESS IN THE E-LEARNING MANAGEMENT SYSTEM ENVIRONMENT BY CONSTRUCTION AN EDUCATIONAL TRAJECTORY. Advanced Information Systems, 8(4), 103–117. https://doi.org/10.20998/2522-9052.2024.4.13
Section
Applied problems of information systems operation
Author Biographies

Helen Makogon , Military Institute of Tank Troops of National Technical University “Kharkiv Polytechnic Institute”, Kharkiv

Candidate of Technical Sciences, Associate Professor, Associate Professor of the Armored Vehicles and Military Equipment Department

Tetiana Lavrut , Hetman Petro Sahaidachnyi National Army Academy, Lviv

Candidate of Geographical Sciences, Associate Professor,  Senior Research Associate

Mykola Chornyi , Hetman Petro Sahaidachnyi National Army Academy, Lviv

Candidate of Technical Sciences, Associate Professor, Professor of the Armored Vehicles Department

Borys Matuzko , Hetman Petro Sahaidachnyi National Army Academy, Lviv

Candidate of Technical Sciences, Associate Professor, Associate Professor of the Armored Vehicles Department

Wiesława Załoga, Military University of Technology, Warszawa

Ph.D., Vice-Dean for Education and Student Affairs, Faculty of Security, Logistics and Management,

References

Grynov, D., (2023), How did the war affect education in Ukraine and is it possible to change the situation?, IT Ukraine Association, available at: https://itukraine.org.ua/yak-vijna-vplinula-na-osvitu-v-ukrayini-i-chi-mozhna-zminiti-situatsiyu/

Souza, A.S.C.D. and Debs, L. (2024), “Concepts, innovative technologies, learning approaches and trend topics in education 4.0: A scoping literature review”, Social Sciences and Humanities Open, 9, 100902, doi: https://doi.org/10.1016/j.ssaho.2024.100902

Thatcher, J.B., Wright, R.T., Sun, H., Zagenczyk, T.J. and Klein, R. (2018), “Mindfulness in information technology use: Definitions, distinctions, and a new measure”, MIS Quarterly: Management Information Systems, vol. 42(3), pp. 831–847, doi: https://doi.org/10.25300/MISQ/2018/11881

Merlac, V., Smatkov, S., Kuchuk, N. and Nechausov, A. (2018), “Resourses Distribution Method of University e-learning on the Hypercovergent platform”, Сonf. Proc. of 2018 IEEE 9th Int. Conf. on Dependable Systems, Service and Technologies. DESSERT’2018, Kyiv, May 24-27, 2018, pp. 136–140, doi: http://dx.doi.org/10.1109/DESSERT.2018.8409114

Semenov, S., Mozhaiev, O., Kuchuk, N., Mozhaiev, M., Tiulieniev, S., Gnusov, Yu., Yevstrat, D.,Chyrva, Y., Kuchuk, H. (2022), “Devising a procedure for defining the general criteria of abnormal behavior of a computer system based on the improved criterion of uniformity of input data samples”, Eastern-European Journal of Enterprise Technologies, vol. 6(4-120), pp. 40–49, doi: https://doi.org/10.15587/1729-4061.2022.269128

Kumar, S. and Priyanka (2024), “The Effects of Information and Communication Technology (ICT) on Pedagogy and Student Learning Outcome in Higher Education”, EAI Endorsed Transactions on Scalable Information Systems, vol. 11(2), pp. 1–5, doi: https://doi.org/10.4108/eetsis.4629

Bhatia, M. and Mushtaq, M.T. (2024), Navigating Innovative Technologies and Intelligent Systems in Modern Education, 307 p., doi: https://doi.org/10.4018/979-8-3693-5370-7

Petrov, P. (2022), “Formation and development of digital transformation of physical education”, European Science, vol. 4(sge08-04), pp. 68–82, doi: https://doi.org/10.30890/2709-2313.2022-08-04-019

Ezzaim, A., Dahbi, A., Haidine, A. and Aqqal, A. (2024), “Development, Implementation, and Evaluation of a Machine Learning-Based Multi-Factor Adaptive e-learning System”, IAENG International Journal of Computer Science, vol. 51, is. 9, pp. 1250–1271, available at: https://www.iaeng.org/IJCS/issues_v51/issue_9/IJCS_51_9_04.pdf

Buinytska, O.P. (2011), “The use of educational-methodical complexes in the training process of students”, Information Technologies and Learning Tools, vol. 25, no. 5, doi: https://doi.org/10.33407/itlt.v25i5.527

Dun B., Zakovorotnyi, O. and Kuchuk, N. (2023), “Generating currency exchange rate data based on Quant-Gan model”, Advanced Information Systems, vol. 7, no. 2, pp. 68–74, doi: http://dx.doi.org/10.20998/2522-9052.2023.2.10

Abdiyev, K., Zhassandykyzy, M. and Primbetova, G. (2023), “The Alignment of University Educational Programs with the Professional Standards of the IT Industry”, Journal of Social Studies Education Research, vol. 14(4), pp. 299–327, available at: https://jsser.org/index.php/jsser/article/view/5335

Khairutdinov, R.R., Safin, R.S., Korchagin, E.A., Mukhametzyanova, F. G., Fakhrutdinova, A.V., Nikishina, S.R. (2019), “The content of educational programs in technical universities: Quality of applying the modern professional standards”, International Journal of Instruction, vol. 12(1), pp. 357–360, doi: http://dx.doi.org/10.29333/iji.2019.12124a

Dotsenko, N., Chumachenko, I., Galkin, A., Kuchuk, H. and Chumachenko, D. (2023), “Modeling the Transformation of Configuration Management Processes in a Multi-Project Environment”, Sustainability (Switzerland), Vol. 15(19), 14308, doi: https://doi.org/10.3390/su151914308

Salameen, R., Takruri, H. and Cooper, G. (2015), “A Preliminary Study Of Software Maintenance In e-Commerce Companies In Jordan”, Journal of Multidisciplinary Engineering Science and Technology, JMEST, vol. 2, is. 9, pp. 2374–2381, available at: https://www.jmest.org/wp-content/uploads/JMESTN42351029.pdf

Hunko, M., Tkachov, V., Kuchuk, H., Kovalenko, A. (2023), Advantages of Fog Computing: A Comparative Analysis with Cloud Computing for Enhanced Edge Computing Capabilities, 2023 IEEE 4th KhPI Week on Advanced Technology, KhPI Week 2023 - Conference Proceedings, Code 194480, doi: https://doi.org/10.1109/KhPIWeek61412.2023.10312948

Petrovska, I. and Kuchuk, H. (2023), “Adaptive resource allocation method for data processing and security in cloud environment”, Advanced Information Systems, vol. 7, no. 3, pp. 67–73, doi: https://doi.org/10.20998/2522-9052.2023.3.10

(2024), Making the transition to remote learning, available at: https://www.microsoft.com/uk-ua/education/remote-learning

(2024), The educational environment of Hetman Petro Sahaidachnyi National Army Academy, Lviv, Ukraine, available at: https://www.youtube.com/watch?v=WpxfVX7Cb4o

Kuchuk, N., Mozhaiev, O., Semenov, S., Haichenko, A., Kuchuk, H., Tiulieniev, S., Mozhaiev, M., Davydov, V., Brusakova, O. and Gnusov, Y. (2023), “Devising a method for balancing the load on a territorially distributed foggy environment”, Eastern-European Journal of Enterprise Technologies, vol. 1(4 (121), pp. 48–55, doi: https://doi.org/10.15587/1729-4061.2023.274177

Donets V., Kuchuk N. and Shmatkov S. (2018), “Development of software of e-learning information system synthesis modeling process”, Сучасні інформаційні системи, vol. 2, no. 2, pp. 117–121, doi: https://doi.org/10.20998/2522-9052.2018.2.20

Chindukuri, M. and Sivanesan, S. (2024), “Transfer learning for Bloom’s taxonomy-based question classification”, Neural Computing and Applications, vol. 36, is. 31, pp. 19915–19937, doi: https://doi.org/10.1007/s00521-024-10241-y

Sanches, F.E.F., Souza Junior, M.A.A., Massaro Junior, F.R., Povedano, R. and Gaio, L.E. (2023), “Developing a method for incorporating sustainability into the strategic planning of higher education institutions”, International Journal of Sustainability in Higher Education, vol. 24, is. 4, pp. 812–839, doi: https://doi.org/10.1108/IJSHE-10-2021-0439

Kuchuk, N., Mozhaiev, M., Kalinin, Y., Mozhaev, O. and Kuchuk, H. (2022), “Calculation of Signal Information Delay in Intelligent Communication Networks”, 2022 IEEE 3rd KhPI Week on Advanced Technology, KhPI Week 2022 - Conference Proceedings, doi: https://doi.org/10.1109/KhPIWeek57572.2022.9916323

Sun, Y., Chen, K., Liu, C., Zhang, Q. and Qin, X. (2021), “Research on reliability analytical method of complex system based on CBN model”, Journal of Mechanical Science and Technology, vol. 35, is. 1, pp. 107–120, doi: https://doi.org/10.1007/s12206-020-1210-4

Sheikh, W. (2024), “An intuitive, application-based, simulation-driven approach to teaching probability and random processes”, International Journal of Electrical Engineering and Education, vol. 61, is. 1, pp. 17–57, doi: https://doi.org/10.1177/0020720919866405

Kovalenko, A. and Kuchuk, H. (2022), “Methods to Manage Data in Self-healing Systems”, Studies in Systems, Decision and Control, Vol. 425, pp. 113–171, doi: https://doi.org/10.1007/978-3-030-96546-4_3

Zhao, J. (2022), “Adaptive Dynamic Programming and Optimal Control of Unknown Multiplayer Systems Based on Game Theory”, IEEE Access, vol. 10, pp. 77695–77706, https://doi.org/10.1109/ACCESS.2022.3193505