Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/7405
Повний запис метаданих
Поле DCЗначенняМова
dc.contributor.authorPapadakis, Stamatios-
dc.contributor.authorКів, Арнольд Юхимович-
dc.contributor.authorKravtsov, Hennadiy M.-
dc.contributor.authorOsadchyi, Viacheslav V.-
dc.contributor.authorMarienko, Maiia V.-
dc.contributor.authorPinchuk, Olga P.-
dc.contributor.authorShyshkina, Mariya P.-
dc.contributor.authorSokolyuk, Oleksandra M.-
dc.contributor.authorМінтій, Ірина Сергіївна-
dc.contributor.authorVakaliuk, Tetiana A.-
dc.contributor.authorAzarova, Larysa E.-
dc.contributor.authorKolgatina, Larisa S.-
dc.contributor.authorAmelina, Svitlana M.-
dc.contributor.authorVolkova, Nataliia P.-
dc.contributor.authorVelychko, Vladyslav Ye.-
dc.contributor.authorStriuk, Andrii M.-
dc.contributor.authorСемеріков, Сергій Олексійович-
dc.date.accessioned2023-07-01T13:24:24Z-
dc.date.available2023-07-01T13:24:24Z-
dc.date.issued2023-03-21-
dc.identifier.citationPapadakis S. ACNS Conference on Cloud and Immersive Technologies in Education: Report / Stamatios Papadakis, Arnold E. Kiv, Hennadiy M. Kravtsov, Viacheslav V. Osadchyi, Maiia V. Marienko, Olha P. Pinchuk, Mariya P. Shyshkina, Oleksandra M. Sokolyuk, Iryna S. Mintii, Tetiana A. Vakaliuk, Larysa E. Azarova, Larisa S. Kolgatina, Svitlana M. Amelina, Nataliia P. Volkova, Vladyslav Ye. Velychko, Andrii M. Striuk, Serhiy O. Semerikov // CTE Workshop Proceedings. – 2023. – Vol. 10. – P. 1-44. – DOI: https://doi.org/10.55056/cte.544uk
dc.identifier.issn2833-5473-
dc.identifier.urihttps://doi.org/10.55056/cte.544-
dc.identifier.urihttp://elibrary.kdpu.edu.ua/xmlui/handle/123456789/7405-
dc.description[1] Abdula, A.I., Baluta, H.A., Kozachenko, N.P. and Kassim, D.A., 2020. Peculiarities of using of the Moodle test tools in philosophy teaching. CTE Workshop Proceedings, 7, p.306–320. Available from: https://doi.org/10.55056/cte.362. [2] Abdula, A.I., Baluta, H.A., Kozachenko, N.P., Kassim, D.A. and Zhuravlev, F.M., 2022. The Use of Moodle in the Teaching of Philosophy and Distance Learning. In: S. Semerikov, V. Osadchyi and O. Kuzminska, eds. Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 1: AET. INSTICC, SciTePress, pp.616–630. Available from: https://doi.org/10.5220/0010926600003364. [3] Abuselidze, G., 2021. The Impact of Banking Competition on Economic Growth and Financial Stability: An Empirical Investigation. European Journal of Sustainable Development, 10(1), p.203. Available from: https://doi.org/10.14207/ejsd.2021.v10n1p203. [4] Abuselidze, G., 2021. Use of hedging instruments on example of grain market. Engineering for Rural Development, 20, p.1655 – 1662. Available from: https://doi.org/10.22616/ERDev.2021.20.TF359. [5] Abuselidze, G. and Slobodianyk, A., 2020. Social responsibility of business and government in the conditions of the COVID-19 pandemic. E3S Web of Conferences, 210, p.15016. Available from: https://doi.org/10.1051/e3sconf/202021015016. [6] Abuselidze, G. and Zoidze, G., 2023. Economic analysis of factors associated with education and employment. CTE Workshop Proceedings, 10, pp.366–379. Available from: https://doi.org/10.55056/cte.565. [7] Abuselidze, G. and Zoidze, G., 2023. The use of transferable skills in education and its impact on the economy. CTE Workshop Proceedings, 10, pp.124–138. Available from: https://doi.org/10.55056/cte.550. [8] Achkan, V.V., Vlasenko, K.V., Lovianova, I.V., Rovenska, O.H., Sitak, I.V. and Chumak, O.O., 2023. Web-based support for higher school teachers: insights from a survey and theoretical analysis. CTE Workshop Proceedings, 10, pp.265–280. Available from: https://doi.org/10.55056/cte.561. [9] Ampartzaki, M., Kalogiannakis, M. and Papadakis, S., 2021. Deepening Our Knowledge about Sustainability Education in the Early Years: Lessons from a Water Project. Education Sciences, 11(6), p.251. Available from: https://doi.org/10.3390/educsci11060251. [10] Artyukhov, A., Volk, I., Artyukhova, N., Halenin, R. and Batsenko, L., 2023. Evaluation of the system “quality of education” and its socio-economic impact: analogies with software testing. CTE Workshop Proceedings, 10, pp.96–106. Available from: https://doi.org/10.55056/cte.548. [11] Artyukhov, A., Volk, I., Artyukhova, N., Ospanov, D., Ospanova, D., Shablystyi, V. and Hordiienko, V., 2023. Quality of education as the modeling object: “black”, “white” or “gray” box for national economics development. CTE Workshop Proceedings, 10, pp.85–95. Available from: https://doi.org/10.55056/cte.547. [12] Artyukhov, A., Volk, I., Surowiec, A., Skrzypek-Ahmed, S., Bliumska-Danko, K., Dluhopolskyi, O. and Shablystyi, V., 2022. Quality of Education and Science in the Context of Sustainable Development Goals – From Millennium Goals to Agenda 2030: Factors of Innovation Activity and Socio-Economic Impact. Sustainability, 14(18), p.11468. Available from: https://doi.org/10.3390/su141811468. [13] Artyukhov, A.E., Volk, I.I. and Vasylieva, T.A., 2022. Agile methodology in higher education quality assurance system for SDGs 4, 8 and 9 achievement: national experience. CTE Workshop Proceedings, 9, p.81–94. Available from: https://doi.org/10.55056/cte.105. [14] Baaden, M., 2022. Deep inside molecules - digital twins at the nanoscale. Virtual Real. Intell. Hardw., 4(4), pp.324–341. Available from: https://doi.org/10.1016/j.vrih.2022.03.001. [15] Babenko, V.O., Yatsenko, R.M., Migunov, P.D. and Salem, A.B.M., 2020. MarkHub Cloud Online Editor as a modern web-based book creation tool. CTE Workshop Proceedings, 7, p.174–184. Available from: https://doi.org/10.55056/cte.342. [16] Bajaj, D., Goel, A. and Gupta, S.C., 2022. GreenMicro: Identifying Microservices From Use Cases in Greenfield Development. IEEE Access, 10, pp.67008–67018. Available from: https://doi.org/10.1109/ACCESS.2022.3182495. [17] Balyk, N., Shmyger, G., Vasylenko, Y. and Oleksiuk, V., 2022. Design of the educational environment for the preparation of teachers. Ukrainian Journal of Educational Studies and Information Technology, 10(2), p.12–25. Available from: https://doi.org/10.32919/uesit.2022.02.02. [18] Balyk, N.R., Shmyger, G.P., Vasylenko, Y.P. and Oleksiuk, V.P., 2023. Exploring modern trends in developing a digital educational environment for university: A case study of Ternopil Volodymyr Hnatiuk National Pedagogical University. CTE Workshop Proceedings, 10, pp.45–63. Available from: https://doi.org/10.55056/cte.545. [19] Bilousova, L., Gryzun, L. and Sivochka, I., 2021. Petri Nets Android application as a mobile aid for students’ mastering modelling. Journal of Physics: Conference Series, 1840(1), p.012033. Available from: https://doi.org/10.1088/1742-6596/1840/1/012033. [20] Bilousova, L., Gryzun, L., Zhytienova, N. and Pikalova, V., 2019. Search Algorithms Learning Based on Cognitive Visualization. In: V. Ermolayev, F. Mallet, V. Yakovyna, H.C. Mayr and A. Spivakovsky, eds. Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference, Kherson, Ukraine, June 12-15, 2019. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2387, pp.472–478. Available from: https://ceur-ws.org/Vol-2387/20190472.pdf. [21] Bilousova, L., Kolgatin, O. and Kolgatina, L., 2013. Pedagogical Diagnostics with Use of Computer Technologies. In: V. Ermolayev, H.C. Mayr, M.S. Nikitchenko, A. Spivakovsky, G. Zholtkevych, M. Zavileysky, H. Kravtsov, V. Kobets and V.S. Peschanenko, eds. Proceedings of the 9th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, Kherson, Ukraine, June 19-22, 2013. CEUR-WS.org, CEUR Workshop Proceedings, vol. 1000, pp.209–220. Available from: https://ceur-ws.org/Vol-1000/ICTERI-2013-p-209-220.pdf. [22] Bilousova, L., Kolgatina, L. and Kolgatin, O., 2023. How can we encourage students to manage their own learning? Ukrainian Journal of Educational Studies and Information Technology, 11(1), p.55–65. Available from: https://doi.org/10.32919/uesit.2023.01.05. [23] Bilousova, L.I., Gryzun, L.E. and Lytvynova, S.H., 2022. Practice of applying functional approach to the design of digital learning aids. Journal of Physics: Conference Series, 2288(1), p.012008. Available from: https://doi.org/10.1088/1742-6596/2288/1/012008. [24] Bondar, K., Shestopalova, O., Hamaniuk, V. and Tursky, V., 2023. Ukraine higher education based on data-driven decision making (DDDM). CTE Workshop Proceedings, 10, pp.346–365. Available from: https://doi.org/10.55056/cte.564. [25] Bondarchuk, O., Balakhtar, V., Gorova, O., Lytvynenko, N., Pinchuk, N., Shmanko, O., Kiv, A. and Oleksiuk, V., 2022. Features of responsibility of future specialists of the socionomic professions as an indicator of their digital competence. Educational Technology Quarterly, 2022(1), p.35–55. Available from: https://doi.org/10.55056/etq.12. [26] Braun, C., Kayali, F. and Moser, T., 2022. Erstellung und Einsatz von 360-Grad-Medien in der Lehre - leicht gemacht. In: P.A. Henning, M. Striewe and M. Wölfel, eds. DELFI 2022, Die 20. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., 12.-14. September 2022, Karlsruhe. Gesellschaft für Informatik e.V., LNI, vol. P-322, pp.129–134. Available from: https://doi.org/10.18420/delfi2022-024. [27] Burov, O.Y., Kiv, A.E., Semerikov, S.O., Striuk, A.M., Striuk, M.I., Kolgatina, L.S. and Oliinyk, I.V., 2020. AREdu 2020 - How augmented reality helps during the coronavirus pandemic. In: O.Y. Burov and A.E. Kiv, eds. Proceedings of the 3rd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, May 13, 2020. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2731, pp.1–46. Available from: https://ceur-ws.org/Vol-2731/paper00.pdf. [28] Burov, O.Y. and Pinchuk, O.P., 2023. A meta-analysis of the most influential factors of the virtual reality in education for the health and efficiency of students’ activity. Educational Technology Quarterly, 2023(1), pp.58–68. Available from: https://doi.org/10.55056/etq.435. [29] Cabezuelo, A.S., 2022. Prediction of Rainfall in Australia Using Machine Learning. Inf., 13(4), p.163. Available from: https://doi.org/10.3390/info13040163. [30] Chaikivskyi, T., Bauzha, O.S., Sus, B.B., Tmienova, N. and Zagorodnyuk, S.P., 2019. 3D Simulation of Virtual Laboratory on Electron Microscopy. In: N. Kryvinska, I. Izonin, M. Gregus, A. Poniszewska-Maranda and I. Dronyuk, eds. Proceedings of the 1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), Lviv, Ukraine, December 23-25, 2019. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2533, pp.282–291. Available from: https://ceur-ws.org/Vol-2533/paper26.pdf. [31] Chan, T., Looi, C., Chang, B., Chen, W., Wong, L., Wong, S.L., Yu, F., Mason, J., Liu, C., Shih, J., Wu, Y., Kong, S., Wu, L., Chien, T., Liao, C.C.Y., Cheng, H.N.H., Chen, Z. and Chou, C., 2019. IDC theory: creation and the creation loop. Res. Pract. Technol. Enhanc. Learn., 14(1), p.26. Available from: https://doi.org/10.1186/s41039-019-0120-5. [32] Chang, V., Ramachandran, M. and Li, C., 2022. Special issue editorial on emerging trends in internet of things for e-health and medical supply chain systems. Expert Syst. J. Knowl. Eng., 39(4). Available from: https://doi.org/10.1111/exsy.12870. [33] Chatzopoulos, A., Kalogiannakis, M., Papadakis, S. and Papoutsidakis, M., 2022. A Novel, Modular Robot for Educational Robotics Developed Using Action Research Evaluated on Technology Acceptance Model. Education Sciences, 12(4), p.274. Available from: https://doi.org/10.3390/educsci12040274. [34] Chernenko, V.A., Zagorodnyuk, S.P., L’vov, V.A., O’Handley, R.C. and Kono, Y., 2006. Magnetization curves for tetragonal martensites: Experiments and modeling. Journal of Applied Physics, 99(10), p.103906. Available from: https://doi.org/10.1063/1.2197037. [35] Cuesta, D.J.L. and Fabregat, R., 2022. Educational Robotics Intervention in the Motivation of Students. Rev. Iberoam. de Tecnol. del Aprendiz., 17(2), pp.131–139. Available from: https://doi.org/10.1109/RITA.2022.3166856. [36] Dmitrenko, N. and Voloshyna, O., 2018. Training of Prospective Teachers of Foreign Language to Work in Inclusive Classes. Pedagogika, 129(1), p.187–205. Available from: https://doi.org/10.15823/p.2018.13. [37] Dmitrenko, N.Y., Voloshyna, O.V., Kizim, S.S., Mnyshenko, K.V. and Nahorniak, S.V., 2023. Smart education in the prospective teachers’ training. CTE Workshop Proceedings, 10, pp.414–429. Available from: https://doi.org/10.55056/cte.568. [38] Dorouka, P., Papadakis, S. and Kalogiannakis, M., 2021. The Contribution of the Health Crisis to Young Children’s Nano-literacy through STEAM Education. Hellenic Journal of STEM Education, 2(1), p.1–7. Available from: https://doi.org/10.51724/hjstemed.v2i1.18. [39] Drolia, M., Papadakis, S., Sifaki, E. and Kalogiannakis, M., 2022. Mobile Learning Applications for Refugees: A Systematic Literature Review. Education Sciences, 12(2), p.96. Available from: https://doi.org/10.3390/educsci12020096. [40] Enughwure, A.A. and Lelli, F., 2022. On Developing Human Centric Digital Twins in Industry 4.0 and Beyond. In: M. Zelm, A. Boza, R.D. León and R. Rodríguez-Rodríguez, eds. Proceedings of Interoperability for Enterprise Systems and Applications Workshops co-located with 11th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2022), Valencia, Spain, March 23-25, 2022. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3214. Available from: https://ceur-ws.org/Vol-3214/WS5Paper11.pdf. [41] Fedorenko, E.G., Kaidan, N.V., Velychko, V.Y. and Soloviev, V.N., 2021. Gamification when studying logical operators on the Minecraft EDU platform. In: S.H. Lytvynova and S.O. Semerikov, eds. Proceedings of the 4th International Workshop on Augmented Reality in Education (AREdu 2021), Kryvyi Rih, Ukraine, May 11, 2021. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2898, pp.107–118. Available from: https://ceur-ws.org/Vol-2898/paper05.pdf. [42] Fedorenko, O.H., Havrysh, O.H. and Velychko, V.Y., 2022. Features of using moodle tools in the training of future social workers. Educational Dimension, 7, p.261–281. Available from: https://doi.org/10.31812/educdim.4714. [43] Georgescu, I., 2022. Inventory problems with fuzzy numbers as demands. Soft Comput., 26(8), pp.3947–3955. Available from: https://doi.org/10.1007/s00500-022-06758-w. [44] Glazunova, O.G., Mokriiev, M.V., Kuzminska, O.H., Korolchuk, V.I., Morze, N.V., Varchenko-Trotsenko, L.O. and Zolotukha, R.A., 2023. Effectiveness analysis of e-learning implementation models and resource support in higher education institutions: case studies and insights amidst the COVID-19 pandemic. CTE Workshop Proceedings, 10, pp.225–235. Available from: https://doi.org/10.55056/cte.558. [45] González-González, C.S., Muñoz-Cruz, V., Delgado, P.A.T. and Nacimiento-García, E., 2023. Personalized Gamification for Learning: A Reactive Chatbot Architecture Proposal. Sensors, 23(1), p.545. Available from: https://doi.org/10.3390/s23010545. [46] Gryzun, L.E., Shcherbakov, O.V. and Bida, B.O., 2023. Development of the information system for navigation in modern university campus. CTE Workshop Proceedings, 10, pp.380–398. Available from: https://doi.org/10.55056/cte.566. [47] Gurevych, R.S., Frytsiuk, V.A. and Dmytrenko, N.Y., 2019. Computer diagnostics of prospective teachers’ readiness for professional self-development. Information Technologies and Learning Tools, 69(1), p.211–221. Available from: https://doi.org/10.33407/itlt.v69i1.2605. [48] Holovnia, O., 2020. Linux Online Virtual Environments in Teaching Operating Systems. In: O. Sokolov, G. Zholtkevych, V. Yakovyna, Y. Tarasich, V. Kharchenko, V. Kobets, O. Burov, S. Semerikov and H. Kravtsov, eds. Proceedings of the 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, Kharkiv, Ukraine, October 06-10, 2020. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2732, pp.964–973. Available from: https://ceur-ws.org/Vol-2732/20200964.pdf. [49] Holovnia, O.S. and Oleksiuk, V.P., 2022. Selecting cloud computing software for a virtual online laboratory supporting the Operating Systems course. CTE Workshop Proceedings, 9, pp.216–227. Available from: https://doi.org/10.55056/cte.116. [50] Holovnia, O.S., Shchur, N.O., Sverchevska, I.A., Bailiuk, Y.M. and Pokotylo, O.A., 2023. Interactive surveys during online lectures for IT students. CTE Workshop Proceedings, 10, pp.185–206. Available from: https://doi.org/10.55056/cte.556. [51] Jofche, N., Mishev, K., Stojanov, R., Jovanovik, M., Zdravevski, E. and Trajanov, D., 2023. PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning. Comput., 12(1), p.17. Available from: https://doi.org/10.3390/computers12010017. [52] Kanaki, K. and Kalogiannakis, M., 2022. Algorithmic thinking in early childhood. Proceedings of the 6th International Conference on Digital Technology in Education, ICDTE 2022, Hangzhou, China, September 16-18, 2022. ACM, pp.66–71. Available from: https://doi.org/10.1145/3568739.3568752. [53] Kanivets, O.V., Kanivets, I., Kononets, N.V., Gorda, T. and Shmeltser, E.O., 2019. Development of mobile applications of augmented reality for projects with projection drawings. In: A.E. Kiv and M.P. Shyshkina, eds. Proceedings of the 2nd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, March 22, 2019. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2547, pp.262–273. Available from: https://ceur-ws.org/Vol-2547/paper19.pdf. [54] Kanivets, O.V., Kanivets, I.M. and Gorda, T.M., 2022. Development of an augmented reality mobile physics application to study electric circuits. Educational Technology Quarterly, 2022(4), p.347–365. Available from: https://doi.org/10.55056/etq.429. [55] Kanivets, O.V., Kanivets, I.M., Gorda, T.M. and Burlaka, O.A., 2022. Development of a machine vision program to determine the completeness of wrapping plants in the soil. CEUR Workshop Proceedings, 3077, pp.27–43. [56] Kanivets, O.V., Kanivets, I.M., Gorda, T.M., Gorbenko, O.V. and Kelemesh, A.O., 2023. Using a mobile application to teach students to measure with a micrometer during remote laboratory work. CTE Workshop Proceedings, 10, pp.294–314. Available from: https://doi.org/10.55056/cte.563. [57] Karakose, T., Yirci, R. and Papadakis, S., 2022. Examining the Associations between COVID-19-Related Psychological Distress, Social Media Addiction, COVID-19-Related Burnout, and Depression among School Principals and Teachers through Structural Equation Modeling. International Journal of Environmental Research and Public Health, 19(4), p.1951. Available from: https://doi.org/10.3390/ijerph19041951. [58] Khan, W., Ghazanfar, M.A., Azam, M.A., Karami, A., Alyoubi, K.H. and Alfakeeh, A.S., 2022. Stock market prediction using machine learning classifiers and social media, news. J. Ambient Intell. Humaniz. Comput., 13(7), pp.3433–3456. Available from: https://doi.org/10.1007/s12652-020-01839-w. [59] Kharytonova, O., Osadcha, K. and Osadchyi, V., 2021. Recruitment using automated systems. Ukrainian Journal of Educational Studies and Information Technology, 9(2), p.1–19. Available from: https://doi.org/10.32919/uesit.2021.02.01. [60] Khrykov, Y.M., Kharkivska, A.A., Ponomarova, H.F. and Uchitel, A.D., 2020. Modeling the training system of masters of public service using web 2.0. CTE Workshop Proceedings, 7, p.237–252. Available from: https://doi.org/10.55056/cte.356. [61] Khrykov, Y.M., Ptakhina, O.M., Sych, T.V. and Dzvinchuk, D.I., 2023. Exploring the landscape of e-learning for lifelong education of public servants: trends, challenges, and implications. CTE Workshop Proceedings, 10, pp.64–84. Available from: https://doi.org/10.55056/cte.546. [62] Khrykov, Y.M., Ptakhina, O.M., Sych, T.V., Dzvinchuk, D.I. and Kormer, M.V., 2022. Trends in the Development of e-Learning for Civil Servants. In: S. Semerikov, V. Osadchyi and O. Kuzminska, eds. Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET. INSTICC, SciTePress, pp.126–140. Available from: https://doi.org/10.5220/0010929400003364. [63] Kiv, A.E., Shyshkina, M.P., Semerikov, S.O., Striuk, A.M. and Yechkalo, Y.V., 2019. AREdu 2019 - How augmented reality transforms to augmented learning. In: A.E. Kiv and M.P. Shyshkina, eds. Proceedings of the 2nd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, March 22, 2019. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2547, pp.1–12. Available from: https://ceur-ws.org/Vol-2547/paper00.pdf. [64] Klochko, O.V. and Fedorets, V.M., 2022. Using immersive reality technologies to increase a physical education teacher’s health-preserving competency. Educational Technology Quarterly, 2022(4), p.276–306. Available from: https://doi.org/10.55056/etq.431. [65] Klochko, O.V., Fedorets, V.M., Mazur, M.V. and Liulko, Y.P., 2023. An IoT system based on open APIs and geolocation for human health data analysis. CTE Workshop Proceedings, 10, pp.399–413. Available from: https://doi.org/10.55056/cte.567. [66] Klochko, O.V., Fedorets, V.M., Uchitel, A.D. and Hnatyuk, V.V., 2020. Methodological aspects of using augmented reality for improvement of the health preserving competence of a Physical Education teacher. In: O.Y. Burov and A.E. Kiv, eds. Proceedings of the 3rd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, May 13, 2020. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2731, pp.108–128. Available from: https://ceur-ws.org/Vol-2731/paper05.pdf. [67] Kolgatin, O., Holubnychyi, D. and Kolgatina, L., 2022. Systematicity of students’ independent work in operating systems classes. Ukrainian Journal of Educational Studies and Information Technology, 10(4), p.28–40. Available from: https://doi.org/10.32919/uesit.2022.04.03. [68] Kolgatin, O.H., Kolgatina, L.S. and Ponomareva, N.S., 2023. Enhancing out-of-class independent learning in a cloud-based information and communication learning environment: insights from students of a pedagogical university. CTE Workshop Proceedings, 10, pp.167–184. Available from: https://doi.org/10.55056/cte.555. [69] Kondratenko, Y.P., Atamanyuk, I.P., Sidenko, I.V., Kondratenko, G.V. and Sichevskyi, S., 2022. Machine learning techniques for increasing efficiency of the robot’s sensor and control information processing. Sensors, 22(3), p.1062. Available from: https://doi.org/10.3390/s22031062. [70] Kostikov, A.A., Vlasenko, K.V., Lovianova, I.V., Volkov, S.V. and Avramov, E.O., 2022. The Rusch model-based knowledge assessment algorithm. Educational Dimension, 6, p.40–54. Available from: https://doi.org/10.31812/educdim.4482. [71] Kozachenko, N., 2019. Dynamic doxastic action in Doxastic Modal Logic. CEUR Workshop Proceedings, 2546, pp.21–34. [72] Kozachenko, N.P., 2023. Modelling of AGM-style doxastic operations in three-valued setting. CTE Workshop Proceedings, 10, pp.326–345. Available from: https://doi.org/10.55056/cte.553. [73] Kramarenko, T., Bondar, K. and Shestopalova, O., 2021. The ICT usage in teaching mathematics to students with special educational needs. Journal of Physics: Conference Series, 1840(1), p.012009. Available from: https://doi.org/10.1088/1742-6596/1840/1/012009. [74] Kukharchuk, R.P., Vakaliuk, T.A., Zaika, O.V., Riabko, A.V. and Medvediev, M.G., 2023. Implementation of STEM learning technology in the process of calibrating an NTC thermistor and developing an electronic thermometer based on it. CTE Workshop Proceedings, 10, pp.251–264. Available from: https://doi.org/10.55056/cte.560. [75] Kukharenko, V., Shunevych, B. and Kravtsov, H., 2022. Distance course examination. Educational Technology Quarterly, 2022(1), p.1–19. Available from: https://doi.org/10.55056/etq.4. [76] Kurz, M., Offenhäuser, P., Viola, D., Shcherbakov, O., Resch, M.M. and Beck, A., 2022. Deep reinforcement learning for computational fluid dynamics on HPC systems. J. Comput. Sci., 65, p.101884. Available from: https://doi.org/10.1016/j.jocs.2022.101884. [77] Kuzminska, O., 2021. Selecting tools to enhance scholarly communication through the life cycle of scientific research. Educational Technology Quarterly, 2021(3), p.402–414. Available from: https://doi.org/10.55056/etq.19. [78] Lavidas, K., Apostolou, Z. and Papadakis, S., 2022. Challenges and Opportunities of Mathematics in Digital Times: Preschool Teachers’ Views. Education Sciences, 12(7), p.459. Available from: https://doi.org/10.3390/educsci12070459. [79] Lavidas, K., Petropoulou, A., Papadakis, S., Apostolou, Z., Komis, V., Jimoyiannis, A. and Gialamas, V., 2022. Factors Affecting Response Rates of the Web Survey with Teachers. Comput., 11(9), p.127. Available from: https://doi.org/10.3390/computers11090127. [80] Lin, S., Liu, J., Young, E.F.Y. and Wong, M.D.F., 2023. GAMER: GPU-Accelerated Maze Routing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42(2), pp.583–593. Available from: https://doi.org/10.1109/TCAD.2022.3184281. [81] Liubchak, V.O., Zuban, Y.O. and Artyukhov, A.E., 2022. Immersive learning technology for ensuring quality education: Ukrainian university case. CTE Workshop Proceedings, 9, p.336–354. Available from: https://doi.org/10.55056/cte.124. [82] Luparenko, L., 2014. Plagiarism Detection Tools for Scientific e-Journals Publishing. In: V. Ermolayev, H.C. Mayr, M.S. Nikitchenko, A. Spivakovsky and G. Zholtkevych, eds. Information and Communication Technologies in Education, Research, and Industrial Applications - 10th International Conference, ICTERI 2014, Kherson, Ukraine, June 9-12, 2014, Revised Selected Papers. Springer, Communications in Computer and Information Science, vol. 469, pp.362–370. Available from: https://doi.org/10.1007/978-3-319-13206-8_18. [83] Luparenko, L., 2020. The Use of Electronic Open Journal Systems in Scientific and Pedagogic Research: Results of Experiment. In: O. Sokolov, G. Zholtkevych, V. Yakovyna, Y. Tarasich, V. Kharchenko, V. Kobets, O. Burov, S. Semerikov and H. Kravtsov, eds. Proceedings of the 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, Kharkiv, Ukraine, October 06-10, 2020. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2732, pp.1113–1128. Available from: https://ceur-ws.org/Vol-2732/20201113.pdf. [84] Lytvynenko, V., Nikytenko, D., Voronenko, M., Savina, N. and Naumov, O., 2020. Assessing the Possibility of a Country’s Economic Growth Using Dynamic Bayesian Network Models. 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT). vol. 1, pp.36–39. Available from: https://doi.org/10.1109/CSIT49958.2020.9321995. [85] Lytvynenko, V., Savina, N., Voronenko, M., Doroschuk, N., Smailova, S., Boskin, O. and Kravchenko, T., 2019. Development, Validation and Testing of the Bayesian Network of Educational Institutions Financing. 2019 10th ieee international conference on intelligent data acquisition and advanced computing systems: Technology and applications (idaacs). vol. 1, pp.412–417. Available from: https://doi.org/10.1109/IDAACS.2019.8924307. [86] Lytvynenko, V., Savina, N., Voronenko, M., Pashnina, A., Baranenko, R., Krugla, N. and Lopushynskyi, I., 2019. Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies’ Work. 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). vol. 1, pp.418–423. Available from: https://doi.org/10.1109/IDAACS.2019.8924346. [87] Magnenat-Thalmann, N., Kim, J., Papagiannakis, G., Thalmann, D. and Sheng, B., 2022. Computer graphics for metaverse. Virtual Real. Intell. Hardw., 4(5), pp.ii–iv. Available from: https://doi.org/10.1016/j.vrih.2022.10.001. [88] Mansour, M.B.M., Abdelkader, T., Hashem, M. and El-Horbaty, E.M., 2021. An integrated three-tier trust management framework in mobile edge computing using fuzzy logic. PeerJ Comput. Sci., 7, p.e700. Available from: https://doi.org/10.7717/peerj-cs.700. [89] Martinez-Seras, A., Ser, J.D. and Bringas, P.G., 2022. Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples? IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2022, Padua, Italy, July 18-23, 2022. IEEE, pp.1–9. Available from: https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882726. [90] Mehmood, R., Riaz, M., Lee, M.H., Ali, I. and Gharib, M., 2022. Exact computational methods for univariate and multivariate control charts under runs rules. Comput. Ind. Eng., 163, p.107821. Available from: https://doi.org/10.1016/j.cie.2021.107821. [91] Mintii, I.S. and Soloviev, V.N., 2018. Augmented Reality: Ukrainian Present Business and Future Education. In: A.E. Kiv and V.N. Soloviev, eds. Proceedings of the 1st International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, October 2, 2018. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2257, pp.227–231. Available from: https://ceur-ws.org/Vol-2257/paper22.pdf. [92] Modlo, Y.O., Semerikov, S.O., Bondarevskyi, S.L., Tolmachev, S.T., Markova, O.M. and Nechypurenko, P.P., 2019. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. In: A.E. Kiv and M.P. Shyshkina, eds. Proceedings of the 2nd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, March 22, 2019. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2547, pp.217–240. Available from: https://ceur-ws.org/Vol-2547/paper16.pdf. [93] Morawska, B., Lipinski, P., Lichy, K. and Adamkiewicz, K., 2022. Transfer learning-based UWB indoor localization using MHT-MDC and clusterization-based sparse fingerprinting. J. Comput. Sci., 61, p.101654. Available from: https://doi.org/10.1016/j.jocs.2022.101654. [94] Morze, N.V., Barna, O.V. and Boiko, M.A., 2022. The importance of computational thinking training for primary school teachers. Educational Dimension, 6, p.22–39. Available from: https://doi.org/10.31812/educdim.4466. [95] Morze, N.V. and Kucherovska, V.O., 2021. Ways to design a digital educational environment for K-12 education. CTE Workshop Proceedings, 8, p.200–211. Available from: https://doi.org/10.55056/cte.232. [96] Morze, N.V., Mashkina, I.V. and Boiko, M.A., 2022. Experience in training specialists with mathematical computer modeling skills, taking into account the needs of the modern labor market. CTE Workshop Proceedings, 9, p.95–196. Available from: https://doi.org/10.55056/cte.106. [97] Morze, N.V. and Strutynska, O.V., 2023. Advancing educational robotics: competence development for pre-service computer science teachers. CTE Workshop Proceedings, 10, pp.107–123. Available from: https://doi.org/10.55056/cte.549. [98] Moscato, V. and Sperlì, G., 2022. Community detection over feature-rich information networks: An eHealth case study. Inf. Syst., 109, p.102092. Available from: https://doi.org/10.1016/j.is.2022.102092. [99] Mykhailova, Y., Savina, N. and Tymoschuk, I., 2023. The management strategy in the educational institution during the crisis caused by COVID-19 pandemic. CTE Workshop Proceedings, 10, pp.139–152. Available from: https://doi.org/10.55056/cte.551. [100] Naha, R.K., Garg, S.K., Battula, S.K., Amin, M.B. and Georgakopoulos, D., 2022. Multiple linear regression-based energy-aware resource allocation in the Fog computing environment. Comput. Networks, 216, p.109240. Available from: https://doi.org/10.1016/j.comnet.2022.109240. [101] Nanni, L., Manfe, A., Maguolo, G., Lumini, A. and Brahnam, S., 2022. High performing ensemble of convolutional neural networks for insect pest image detection. Ecol. Informatics, 67, p.101515. Available from: https://doi.org/10.1016/j.ecoinf.2021.101515. [102] Oleksiuk, V.P., Ivanova, S.M. and Mintii, I.S., 2021. Foreign experience in evaluating the efficiency of scientific and pedagogical research. Educational Dimension, 4, p.58–74. Available from: https://doi.org/10.31812/educdim.v56i4.4435. [103] Osadchyi, V., Valko, N., Kuzmich, L. and Abdullaeva, N., 2022. Research on the impact of specialized STEM education on later education choices. Ukrainian Journal of Educational Studies and Information Technology, 10(2), p.57–68. Available from: https://doi.org/10.32919/uesit.2022.02.05. [104] Papadakis, S., 2021. Advances in Mobile Learning Educational Research (A.M.L.E.R.): Mobile learning as an educational reform. Advances in Mobile Learning Educational Research, 1(1), pp.1–4. Available from: https://doi.org/10.25082/AMLER.2021.01.001. [105] Papadakis, S., 2021. The Impact of Coding Apps to Support Young Children in Computational Thinking and Computational Fluency. A Literature Review. Frontiers in Education, 6, p.657895. Available from: https://doi.org/10.3389/feduc.2021.657895. [106] Papadakis, S., 2022. Apps to Promote Computational Thinking and Coding Skills to Young Age Children: A Pedagogical Challenge for the 21st Century Learners. Educational Process: International Journal (EDUPIJ), 11(1), pp.7–13. Available from: https://doi.org/10.22521/edupij.2022.111.1. [107] Papadakis, S., 2022. Can Preschoolers Learn Computational Thinking and Coding Skills with ScratchJr? A Systematic Literature Review. International Journal of Educational Reform, p.10567879221076077. Available from: https://doi.org/10.1177/10567879221076077. [108] Papadakis, S., 2022. In-service teachers’ beliefs about educational robotics in preschool classroom. International Journal of Technology Enhanced Learning, 14(2), pp.125–141. Available from: https://doi.org/10.1504/IJTEL.2022.121770. [109] Papadakis, S., Alexandraki, F. and Zaranis, N., 2022. Mobile device use among preschoolaged children in Greece. Education and Information Technologies, 27(2), pp.2717–2750. Available from: https://doi.org/10.1007/s10639-021-10718-6. [110] Papadakis, S., Kalogianakis, M., Sifaki, E. and Monnier, A., 2021. Editorial: The Impact of Smart Screen Technologies and Accompanied Apps on Young Children Learning and Developmental Outcomes. Frontiers in Education, 6, p.790534. Available from: https://doi.org/10.3389/feduc.2021.790534. [111] Papamitsiou, Z.K., Filippakis, M.E., Poulou, M., Sampson, D.G., Ifenthaler, D. and Giannakos, M.N., 2021. Towards an educational data literacy framework: enhancing the profiles of instructional designers and e-tutors of online and blended courses with new competences. Smart Learn. Environ., 8(1), p.18. Available from: https://doi.org/10.1186/s40561-021-00163-w. [112] Papanikolopoulou Arco, L.J., 2022. Desigualdad educativa en medio de una pandemia: El papel inclusivo y exclusivo de los medios sociales según el profesorado. Teknokultura. Revista de Cultura Digital y Movimientos Sociales, 19(2), p.189–196. Available from: https://doi.org/10.5209/tekn.77712. [113] Papanikolopoulou Arco, L.J., 2022. La gestión educativa en tiempos de pandemia: el lugar de los medios sociales en el cambio de la enseñanza desde la perspectiva de los educadores. Revista DIECISIETE, (7), pp.131–144. Available from: https://doi.org/10.36852/2695-4427_2022_07.08. [114] Papanikolopoulou Arco, L.J., 2022. The Earthquake Impact on Tourism Industry: The Kos Case. Tourism and Rural Space, 48(2), pp.156–166. [115] Papanikolopoulou Arco, L.J., 2023. Possibilities and limitations of social media in education processes during the pandemic: The teachers perspective. CTE Workshop Proceedings, 10, pp.315–325. Available from: https://doi.org/10.55056/cte.552. [116] Piatykop, O.I., Pronina, O.I., Tymofieieva, I.B. and Palii, I.D., 2022. Early literacy with augmented reality. Educational Dimension, 6, p.131–148. Available from: https://doi.org/10.31812/educdim.4491. [117] Pinchuk, O.P. and Luparenko, L.A., 2023. Web-oriented encyclopedic edition as a tool for dissemination of verified knowledge in the field of education. Educational Technology Quarterly. Available from: https://doi.org/10.55056/etq.582. [118] Pinchuk, O.P., Sokolyuk, O.M., Burov, O.Y. and Shyshkina, M.P., 2019. Digital transformation of learning environment: aspect of cognitive activity of students. CTE Workshop Proceedings, 6, p.90–101. Available from: https://doi.org/10.55056/cte.370. [119] Popel, M., Shokalyuk, S.V. and Shyshkina, M., 2017. The Learning Technique of the SageMathCloud Use for Students Collaboration Support. In: V. Ermolayev, N. Bassiliades, H. Fill, V. Yakovyna, H.C. Mayr, V.S. Kharchenko, V.S. Peschanenko, M. Shyshkina, M.S. Nikitchenko and A. Spivakovsky, eds. Proceedings of the 13th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, ICTERI 2017, Kyiv, Ukraine, May 15-18, 2017. CEUR-WS.org, CEUR Workshop Proceedings, vol. 1844, pp.327–339. Available from: https://ceur-ws.org/Vol-1844/10000327.pdf. [120] Popko, L., Kizim, S., Mironova, T., Brovchak, L. and Zhadeyko, O., 2022. Digital technologies: Cultural approach. AD ALTA: Journal of Interdisciplinary Research, 12(2, 29), pp.189–192. [121] Prokhorov, O.V., Lisovichenko, V.O., Mazorchuk, M.S. and Kuzminska, O.H., 2022. Implementation of digital technology for student involvement based on a 3D quest game for career guidance and assessing students’ digital competences. Educational Technology Quarterly, 2022(4), p.366–387. Available from: https://doi.org/10.55056/etq.430. [122] Pronina, O. and Piatykop, O., 2021. The Decision Support System Education Career Choice Using Fuzzy Model. In: N. Sharonova, V. Lytvyn, O. Cherednichenko, Y. Kupriianov, O. Kanishcheva, T. Hamon, N. Grabar, V. Vysotska, A. Kowalska-Styczen and I. Jonek-Kowalska, eds. Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference, Lviv, Ukraine, April 22-23, 2021. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2870, pp.1204–1214. Available from: https://ceur-ws.org/Vol-2870/paper88.pdf. [123] Pronina, O. and Piatykop, O., 2022. Recognition of violations of individual labor protection rules using a convolutional neural network. 17th IEEE International Conference on Computer Sciences and Information Technologies, CSIT 2022, Lviv, Ukraine, November 10-12, 2022. IEEE, pp.69–72. Available from: https://doi.org/10.1109/CSIT56902.2022.10000582. [124] Pronina, O. and Piatykop, O., 2023. The recognition of speech defects using convolutional neural network. CTE Workshop Proceedings, 10, pp.153–166. Available from: https://doi.org/10.55056/cte.554. [125] Prystupa, Y.V. and Hamaniuk, V.A., 2021. Results of integration of Ukrainian education into the European educational area. Educational Dimension, 4, p.8–24. Available from: https://doi.org/10.31812/educdim.v56i4.4392. [126] Rashevska, N.V., Semerikov, S.O., Zinonos, N.O., Tkachuk, V.V. and Shyshkina, M.P., 2020. Using augmented reality tools in the teaching of two-dimensional plane geometry. In: O.Y. Burov and A.E. Kiv, eds. Proceedings of the 3rd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, May 13, 2020. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2731, pp.79–90. Available from: https://ceur-ws.org/Vol-2731/paper03.pdf. [127] Ryabko, A.V., Zaika, O.V., Kukharchuk, R.P., Vakaliuk, T.A. and Osadchyi, V.V., 2022. Methods for predicting the assessment of the quality of educational programs and educational activities using a neuro-fuzzy approach. CTE Workshop Proceedings, 9, p.154–169. Available from: https://doi.org/10.55056/cte.112. [128] Semerikov, S.O., Vakaliuk, T.A., Mintii, I.S., Hamaniuk, V.A., Soloviev, V.N., Bondarenko, O.V., Nechypurenko, P.P., Shokaliuk, S.V., Moiseienko, N.V. and Ruban, V.R., 2021. Development of the computer vision system based on machine learning for educational purposes. Educational Dimension, 5, p.8–60. Available from: https://doi.org/10.31812/educdim.4717. [129] Shepiliev, D.S., Semerikov, S.O., Yechkalo, Y.V., Tkachuk, V.V., Markova, O.M., Modlo, Y.O., Mintii, I.S., Mintii, M.M., Selivanova, T.V., Maksyshko, N.K., Vakaliuk, T.A., Osadchyi, V.V., Tarasenko, R.O., Amelina, S.M. and Kiv, A.E., 2021. Development of career guidance quests using WebAR. Journal of Physics: Conference Series, 1840(1), p.012028. Available from: https://doi.org/10.1088/1742-6596/1840/1/012028. [130] Shestopalova, O.P. and Goncharova, T.Y., 2022. The phenomenon of “clip thinking” in the educational and cognitive activities of students of natural and physical-mathematical educational profile. Journal of Physics: Conference Series, 2288(1), p.012036. Available from: https://doi.org/10.1088/1742-6596/2288/1/012036. [131] Simakhova, A.O., Artyukhov, A.E. and Shmarlouskaya, H.A., 2022. Problematic issues of digitalization of education in Eastern Europe. CTE Workshop Proceedings, 9, p.1–15. Available from: https://doi.org/10.55056/cte.64. [132] Singh, P.K., 2023. Uncertainty analysis in document publications using single-valued neutrosophic set and collaborative entropy. Artif. Intell. Rev., 56(3), pp.2785–2809. Available from: https://doi.org/10.1007/s10462-022-10249-7. [133] Spirin, O.M. and Holovnia, O.S., 2018. Using Unix-like operating systems virtualization technologies in training the bachelors of Computer Science. Information Technologies and Learning Tools, 65(3), p.201–222. Available from: https://doi.org/10.33407/itlt.v65i3.2055. [134] Spirin, O.M., Matviienko, O.V., Ivanova, S.M., Ovcharuk, O.V., Mintii, I.S., Ivaniuk, I.V. and Luparenko, L.A., 2022. The Use of Open Electronic Scientific and Educational Systems to Support the Professional Activities of Research and Teaching Staff of Ukrainian Universities and Scientific Institutions. Digital Humanities Workshop. New York, NY, USA: Association for Computing Machinery, DHW 2021, p.169–176. Available from: https://doi.org/10.1145/3526242.3526261. [135] Sus, B.B., Zagorodnyuk, S.P., Bauzha, O.S., Diachuk, N.O. and Kozinetz, A.V., 2021. Simulation of remote-controlled power supplies for laboratory and research work. 2021 IEEE 16th International Conference on the Experience of Designing and Application of CAD Systems (CADSM). pp.2/11–2/15. Available from: https://doi.org/10.1109/CADSM52681.2021.9385227. [136] Sych, T., Khrykov, Y. and Ptakhina, O., 2021. Digital transformation as the main condition for the development of modern higher education. Educational Technology Quarterly, 2021(2), p.293–309. Available from: https://doi.org/10.55056/etq.27. [137] Tessema, W.M. and Cavus, N., 2022. Design and Evaluate the Efficiency of Ethiopic Local Integrating System in Open-Source Database. IEEE Access, 10, pp.116819–116829. Available from: https://doi.org/10.1109/ACCESS.2022.3218418. [138] Vaiopoulou, J., Papadakis, S., Sifaki, E., Stamovlasis, D. and Kalogiannakis, M., 2021. Parents’ Perceptions of Educational Apps Use for Kindergarten Children: Development and Validation of a New Instrument (PEAU-p) and Exploration of Parents’ Profiles. Behavioral Sciences, 11(6), p.82. Available from: https://doi.org/10.3390/bs11060082. [139] Vakaliuk, T., Spirin, O. and Kontsedailo, V., 2021. Formation of digital competence of CS bachelors in the use of cloud-based learning environments. Educational Technology Quarterly, 2021(3), p.388–401. Available from: https://doi.org/10.55056/etq.26. [140] Vakaliuk, T.A., Kontsedailo, V.V., Antoniuk, D.S., Korotun, O.V., Mintii, I.S. and Pikilnyak, A.V., 2019. Using game simulator Software Inc in the Software Engineering education. In: A.E. Kiv and M.P. Shyshkina, eds. Proceedings of the 2nd International Workshop on Augmented Reality in Education, Kryvyi Rih, Ukraine, March 22, 2019. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2547, pp.66–80. Available from: https://ceur-ws.org/Vol-2547/paper05.pdf. [141] Varina, H.B., Osadchyi, V.V., Goncharova, O.A. and Sankov, S.M., 2022. Features of gamification component introduction during the development of constructive strategies for overcoming youth life crises. Educational Dimension, 6, p.84–107. Available from: https://doi.org/10.31812/educdim.4454. [142] Varina, H.B., Osadchyi, V.V. and Shevchenko, S.V., 2023. Enhancing adaptive learning: leveraging interactive exercises through the LearningApps service. CTE Workshop Proceedings, 10, pp.281–293. Available from: https://doi.org/10.55056/cte.562. [143] Velychko, V., Fedorenko, E., Kaidan, N. and Kaidan, V., 2021. Application of cloud computing in the process of professional training of physics teachers. Educational Technology Quarterly, 2021(4), p.662–672. Available from: https://doi.org/10.55056/etq.38. [144] Velychko, V.Y., Omelchenko, S.O. and Fedorenko, E.G., 2023. Exploring the potential of online services in utilizing free software for educational activities. CTE Workshop Proceedings, 10, pp.207–224. Available from: https://doi.org/10.55056/cte.557. [145] Vlasenko, K., Rovenska, O., Lovianova, I., Korchagina, S., Zahrebelna, H. and Dmytryshyn, I., 2020. On arranging the procedure of public debate on the educational curriculum draft for Master students majoring in 014 Secondary Education (Mathematics), academic discipline 01 Education/Pedagogics. Educational Dimension, 3, p.303–316. Available from: https://doi.org/10.31812/educdim.v55i0.4341. [146] Volk, I., Artyukhov, A. and Lyeonov, S., 2022. Modeling of Information System for Blended Education Quality Assurance and Socio-Economic Impact. 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). pp.590–593. Available from: https://doi.org/10.1109/TCSET55632.2022.9766905. [147] Volk, I., Artyukhov, A., Vasylieva, T. and Hordiienko, V., 2021. Quality of Education and Socio-Economic Development: Decision Making Approach for Assessing System Performance. 2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T). pp.256–260. Available from: https://doi.org/10.1109/PICST54195.2021.9772207. [148] Volkova, N., Zinukova, N., Vlasenko, K. and Korobeinikova, T., 2022. Development and mastery of soft skills among graduate students. Ukrainian Journal of Educational Studies and Information Technology, 10(4), p.1–14. Available from: https://doi.org/10.32919/uesit.2022.04.01. [149] Volkova, N.P., Rizun, N.O. and Nehrey, M.V., 2019. Data science: opportunities to transform education. CTE Workshop Proceedings, 6, p.48–73. Available from: https://doi.org/10.55056/cte.368. [150] Wang, C., Ma, H., Chen, G. and Hartmann, S., 2022. Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition. IEEE Trans. Evol. Comput., 26(3), pp.570–584. Available from: https://doi.org/10.1109/TEVC.2021.3127633. [151] Yevtuch, M.B., Fedorets, V.M., Klochko, O.V., Shyshkina, M.P. and Dobryden, A.V., 2021. Development of the health-preserving competence of a physical education teacher on the basis of N. Bernstein’s theory of movements construction using virtual reality technologies. In: S.H. Lytvynova and S.O. Semerikov, eds. Proceedings of the 4th International Workshop on Augmented Reality in Education (AREdu 2021), Kryvyi Rih, Ukraine, May 11, 2021. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2898, pp.294–314. Available from: https://ceur-ws.org/Vol-2898/paper16.pdf. [152] Zagorodnyuk, S.P., Sus, B.B., Bauzha, O.S. and Maliarenko, V.M., 2023. Organizing the synchronous remote labworks in institutions of technical engineering education. CTE Workshop Proceedings, 10, pp.236–250. Available from: https://doi.org/10.55056/cte.559. [153] Zhorova, I., Kokhanovska, O., Khudenko, O., Osypova, N. and Kuzminska, O., 2022. Teachers’ training for the use of digital tools of the formative assessment in the implementation of the concept of the new ukrainian school. Educational Technology Quarterly, 2022(1), p.56–72. Available from: https://doi.org/10.55056/etq.11. [154] Zourmpakis, A.I., Papadakis, S. and Kalogiannakis, M., 2022. Education of preschool and elementary teachers on the use of adaptive gamification in science education. International Journal of Technology Enhanced Learning, 14(1), pp.1–16. Available from: https://doi.org/10.1504/IJTEL.2022.120556.uk
dc.description.abstractThis article serves as an introduction to a collection of selected papers presented at the ACNS Conference on Cloud and Immersive Technologies in Education (CITEd 2022), which took place in Kyiv, Ukraine, on December 21-22, 2022. The collection provides valuable insights into the latest advancements in cloud and immersive technologies in the field of education. The introductory text offers an overview of the conference events and provides concise summaries of the selected papers, offering a glimpse into the diverse topics and research areas covered. These selected papers reflect the cutting-edge research and innovative approaches showcased at CITEd 2022, making them a valuable resource for educators, researchers, and practitioners interested in exploring the potential of cloud and immersive technologies in education.uk
dc.language.isoenuk
dc.publisherAcademy of Cognitive and Natural Sciencesuk
dc.subjectadaptive cloud learning platformsuk
dc.subjectblended learninguk
dc.subjectblockchain in educationuk
dc.subjectcloud-based AI education applicationsuk
dc.subjectcloud-based e-learning platforms, tools and servicesuk
dc.subjectcloud-based learning environmentsuk
dc.subjectcompetency-based education platformsuk
dc.subjectdesign and implementation of immersive learning environmentsuk
dc.subjectdigital transformation of educationuk
dc.subjecteducational data mininguk
dc.subjectemotion AIuk
dc.subjectimmersive technologies in professional training and retraininguk
dc.subjectimmersive technologies in science educationuk
dc.subjectimmersive technology applications in educationuk
dc.subjectmobile learninguk
dc.subjectsmart campus technologiesuk
dc.subjectsocial analytics in educationuk
dc.subjectvirtualization of learning: principles, technologies, toolsuk
dc.subjectVR/AR gamificationuk
dc.titleACNS Conference on Cloud and Immersive Technologies in Education: Reportuk
dc.typeArticleuk
Розташовується у зібраннях:Кафедра інформатики та прикладної математики

Файли цього матеріалу:
Файл Опис РозмірФормат 
vol10-1-44.pdf4.61 MBAdobe PDFПереглянути/Відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.