Scientific Herald of Uzhhorod University. Series "Physics"

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Scientific Herald of Uzhhorod University. Series "Physics"

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Digital technologies in education

Issue 55, 2024

Ainura Khamza, Bauyrzhan Zhanguttin, Arailym Omarbekova, Sholpan Nurman

Received 06.11.2023, Revised 26.01.2024, Accepted 23.02.2024

https://doi.org/10.54919/physics/55.2024.195bw5

Abstract

Relevance. In the modern world, the student is no longer attached to the teacher or to their environment. Digital communication technologies give the student an opportunity to choose where and what to learn, in what environment to develop, in what events to take part. The success of this new, increasingly digitalised education system will be determined not only by the extent the training adapts a person to the current socio-economic structure. Success increasingly depends on the ability to constantly adapt, change, rapidly master new activities and acquire new professional skills and abilities.

Purpose. The purpose of this study is to analyse the prospects for the introduction of digital technologies that allow improving education and planning concrete steps to transform the work of universities and improve education and professional training.

Methodology. The leading method of research was the method of analysis and synthesis, which allowed fully completing the tasks set and achieving the intended purposes.

Results. As a result of the study, digital trends in education were studied, which allowed identifying the advantages and disadvantages of digitalisation of education. The study described the most currently used modern technologies that have already been successfully implemented in the Kazakh education system, and considered the tools of the virtual space that need to be used in the future for the full implementation of the strategy of transition to digital education. The authors determined that at the moment the education system of Kazakhstan needs to develop a more effective and comprehensive programme for the introduction of modern technologies in the educational process.

Conclusions. The practical significance of the present paper is determined by the fact that the proposed tools of digitalisation of education can be used in pedagogical activity.

Keywords: gamification; digitalisation; modern trends; computer science; virtual space

Suggested citation

Khamza A, Zhanguttin B, Omarbekova A, Nurman S. Digital technologies in education. Sci Herald Uzhhorod Univ Ser Phys. 2024;(55):1955-1964. DOI: 10.54919/physics/55.2024.195bw5

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References

  1. Sarafanov AV, Sukovaty AG, Sukovataya IE. Application of information and communication technologies in education. Krasnoyarsk: IPC KSTU; 2006.
  2. Zaripova LF. Interactive learning as a means of developing professional competencies in the preparation of qualified workers (by the example of natural sciences). Tobolsk: TPI named after D.I. Mendeleev; 2017.
  3. Karabelskaya IV. The use of digital technologies in the educational process of higher education. Bull USPTU. Sci, Educ, Econ. Series Econ. 2017;1(19):127-131.
  4. Viderker MA, Zazhivnova OA, Romanov VV. Application of screencasting technology in the development of electronic teaching aids. Educational Technology and Society; 2013. https://cyberleninka.ru/article/n/primenenie-tehnologii-skrinkastinga-v-razrabotke-elektronnyh-uchebnyh-posobiy
  5. Shkred LA. Video scribing technology and its use in education. 2018. https://ped-kopilka.ru/blogs/blog70780/tehnologija-videoskraibinga-i-e-ispolzovanie-v-obrazovani.html
  6. Lenkov VG, Belyaev AV. Chromakey: The technology of combining two or more images or frames in one composition; 2019. https://infourok.ru/material-k-mezhregionalnoy-nauchnoprakticheskoy-konferencii-hromakey-tehnologiya-sovmescheniya-dvuh-i-bolee-izobrazheniy-ili-kad-1952212.html
  7. Guncaga J, Severini E, Lehotayova BK, Ostradicky P. Digital technologies in education of preschool children – preparing for future. Pp. 681-688 in: International Convention on Information, Communication and Electronic Technology. Piscataway: Institute of Electrical and Electronics Engineers; 2020.
  8. Alonso De Castro MG, García-Peñalvo FJ. Methodological guide for the successful use of digital technologies in education: Improvement of learning through European educational projects. ACM Int Conf Proceed Series. 2020;962-968.
  9. Savotina NA, Khachikyan EI, Bondarenko V, Ilyukhina A. Digital technology in modern education: Risks and resources. J Physic: Conf Serie. 2020;1691(1):012095.
  10. Mercader C. Explanatory model of barriers to integration of digital technologies in higher education institutions. Educ Info Tech. 2020;25(6):5133-5147.
  11. Mustapha I, Van NT, Shahverdi M, Qureshi MI, Khan N. Effectiveness of digital technology in education during COVID-19 pandemic. A bibliometric analysis. Int J Inter Mobile Tech. 2021;15(8):136-154.
  12. Kiroff L, Puolitaival T. Fun is serious business: Digital natives and digital technologies in construction education. J High Educ Theor Pract. 2021;21(1):75-90.
  13. Qureshi MI, Khan N, Raza H, Imran A, Ismail F. Digital technologies in education 4.0. does it enhance the effectiveness of learning? Int J Inter Mobile Tech. 2021;15(4):31-47.
  14. Hypolito VA, Rosa SDS, Luccas S. Peer assessment with the use of digital technologies in higher education. Meta: Avaliac. 2020;12(35):281-307.
  15. Singh MN. Inroad of digital technology in education: Age of digital classroom. High Educ Future. 2021;8(1):20-30.
  16. Rodrigues AL. Digital technologies integration in teacher education: The active teacher training model. J E-Learn Knowl Societ. 2020;16(3):24-33.
  17. Pinto M, Leite C. Digital technologies in support of students learning in higher education: Literature review. Digit Educ Rev. 2020;(37):343-360.
  18. Lacka E, Wong TC, Haddoud MY. Can digital technologies improve students' efficiency? Exploring the role of virtual learning environment and social media use in higher education. Comp Educ. 2021;163:104099.
  19. de Sales AB, Boscarioli C. Using social digital technologies in the teaching and learning process in higher education. RISTI – Rev Iberic Sistem Tecnol Inform. 2020;2020(37):82-98.
  20. Barlybayev A, Sankibayev A, Kadyr Y, Amangeldy N, Sabyrov T. Predicting Used-Vehicle Resale Value in Developing Markets: Application of Machine Learning Models to the Kazakhstan Car Market. Ing Syst Inf. 2023;28(5):1237-1246.
  21. Ginters E, Mezitis M, Aizstrauta D. Sustainability simulation and assessment of bicycle network design and maintenance environment. In: 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018 (8601225). Plaine Magnien: Institute of Electrical and Electronics Engineers; 2018.
  22. Kerimkhulle S, Dildebayeva Z, Tokhmetov A, Amirova A, Tussupov J, Makhazhanova U, Adalbek A, Taberkhan R, Zakirova A, Salykbayeva A. Fuzzy Logic and Its Application in the Assessment of Information Security Risk of Industrial Internet of Things. Symmet. 2023;15(10):1958.
  23. Salah J, Rehman HU, Buwaiqi IA. Inclusion results of a generalized mittag-leffler-type poisson distribution in the k-uniformly janowski starlike and the k-janowski convex functions. Mathem Statist. 2023;11(1):22-27.
  24. Pirahandeh M, Kim Y-K, Kim D-H. Delta RAID to Enhance Recovery and Small-Write Performance of RAID Storages. In: Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016 (pp. 1228); 2017. DOI: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0188  
  25. Rehman HU, Darus M, Salah J. Generalizing Certain Analytic Functions Correlative to the n -th Coefficient of Certain Class of Bi-Univalent Functions. J Mathem. 2021;2021:6621315.
  26. Ginters E, Dimitrovs E. Latent Impacts on Digital Technologies Sustainability Assessment and Development. Adv Intell Syst Comput. 2021;1365;3-13.
  27. Latka K, Kołodziej W, Rajski R, Pawuś D, Chowaniec J, Latka D. Outpatient Spine Surgery in Poland: A Survey on Popularity, Challenges, and Future Perspectives. Risk Manag Healthcare Polic. 2023;16:1839-1848.
  28. Mehmeti B, Kelmendi J, Iiljazi-Shahiqi D, Azizi B, Jakovljevic S, Haliti F, Anić-Milošević S. Comparison of shear bond strength orthodontic brackets bonded to zirconia and lithium disilicate crowns. Acta Stomatol Croat. 2019;53(1):17-27.
  29. Kerimkhulle S, Obrosova N, Shananin A, Tokhmetov A. Young Duality for Variational Inequalities and Nonparametric Method of Demand Analysis in Input–Output Models with Inputs Substitution: Application for Kazakhstan Economy. Mathem. 2023;11(19):4216.
  30. Gardasevic J, Masanovic B, Arifi F. Relationship between tibia length measurements and standing height: A prospective regional study among adolescents in Southern Region of Kosovo. Sport Mont. 2018;16(3):51-55.
  31. Cherniha R, Serov M. Symmetries, ansätze and exact solutions of nonlinear second-order evolution equations with convection terms, II. Eur J Appl Mathem. 2006;17(5):597-605.
  32. Loburets AT, Naumovets AG, Vedula YuS. Diffusion of dysprosium on the (112) surface of molybdenum. Surf Sci. 1998;399(2-3):297-304.
  33. Gozhyj A, Kalinina I, Gozhyj V, Vysotska V. Web service interaction modeling with colored petri nets. Proceed 2019 10th IEEE Int Conf Intell Data Acquisit Adv Comput Syst: Tech Applicat. 2019;1:319-323.
  34. Maraj D, Maraj A, Hajzeraj A. Application interface for gesture recognition with Kinect sensor. In: 2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA (pp. 98-102). Singapore: Institute of Electrical and Electronics Engineers; 2016.
  35. Ginters E, Aizstrauts A, Dreija G, Ablazevica M, Stepucev S, Sakne I, Baltruks M, Eroles MAP, Buil R, Gusev M, Velkoski G. Skopje bicycle inter-modality simulator – E-involvement through simulation and ticketing. In: 26th European Modeling and Simulation Symposium, EMSS 2014 (pp. 557-562). Bordeaux: France; 2014.
  36. Piskunov VG, Gorik AV, Cherednikov VN. Modeling of transverse shears of piecewise homogeneous composite bars using an iterative process with account of tangential loads 2. Resolving equations and results. Mech Compos Mater. 2000;36(6):445-452.
  37. Orazbayev B, Orazbayeva K, Uskenbayeva G, Dyussembina E, Shukirova A, Rzayeva L, Tuleuova R. System of models for simulation and optimization of operating modes of a delayed coking unit in a fuzzy environment. Sci Rep. 2023;13(1):14317.
  38. Cherniha R, Serov M. Nonlinear systems of the Burgers-type equations: Lie and Q-conditional symmetries, Ansätze and solutions. J Mathem Analys Applicat. 2003;282(1):305-328.
  39. Piera MA, Buil R, Ginters E. State space analysis for model plausibility validation in multi-agent system simulation of urban policies. J Simulat. 2016;10(3):216-226
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