Description:
[1] S. Lytvynova, O. Burov, N. Demeshkant, V. Osadchyi, S. O. Semerikov, 3L-Person: Report,
CEUR Workshop Proceedings 3104 (2021) i–v. URL: https://ceur-ws.org/Vol-3104/paper000.
pdf.
[2] O. Y. Burov, S. H. Lytvynova, S. O. Semerikov, Y. V. Yechkalo, ICT for disaster-resilient
education and training, CEUR Workshop Proceedings 3482 (2022) 1–25. URL: https:
//ceur-ws.org/Vol-3482/paper000.pdf.
[3] S. J. Papadakis, S. O. Semerikov, Y. V. Yechkalo, V. Y. Velychko, T. A. Vakaliuk, S. M. Amelina,
A. V. Iatsyshyn, M. V. Marienko, S. M. Hryshchenko, V. V. Tkachuk, Advancing lifelong
learning and professional development through ICT: insights from the 3L-Person 2023
workshop, CEUR Workshop Proceedings (2023) 1–16.
[4] O. Delalande, N. Férey, G. Grasseau, M. Baaden, Complex molecular assemblies at hand
via interactive simulations, Journal of Computational Chemistry 30 (2009) 2375–2387.
doi:https://doi.org/10.1002/jcc.21235.
[5] I. Santos, J. Nieves, Y. K. Penya, P. G. Bringas, Machine-learning-based mechanical properties prediction in foundry production, in: ICCAS-SICE 2009 - ICROS-SICE International
Joint Conference 2009, Proceedings, 2009, p. 4536 – 4541.
[6] G. N. Sarica, N. Cavus, New trends in 21st Century English learning, Procedia - Socialand Behavioral Sciences 1 (2009) 439–445. doi:10.1016/j.sbspro.2009.01.079, World
Conference on Educational Sciences: New Trends and Issues in Educational Sciences.
[7] O. K. J. Mohammad, S. Abbas, E.-S. M. El-Horbaty, A.-B. M. Salem, Advanced encryption
standard development based quantum key distribution, in: The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014), 2014, pp. 402–408.
doi:10.1109/ICITST.2014.7038845.
[8] F. Solano, T. Stidsen, R. Fabregat, J. L. Marzo, Label Space Reduction in MPLS Networks:
How Much Can A Single Stacked Label Do?, IEEE/ACM Transactions on Networking 16
(2008) 1308–1320. doi:10.1109/TNET.2007.912382.
[9] I. Georgescu, Acyclic rationality indicators of fuzzy choice functions, Fuzzy Sets and
Systems 160 (2009) 2673–2685. doi:10.1016/j.fss.2009.01.014, Theme: Decision and
Optimisation.
[10] M. Iqbal, M. A. Ghazanfar, A. Sattar, M. Maqsood, S. Khan, I. Mehmood, S. W. Baik, Kernel
Context Recommender System (KCR): A Scalable Context-Aware Recommender System
Algorithm, IEEE Access 7 (2019) 24719–24737. doi:10.1109/ACCESS.2019.2897003.
[11] J. Chauhan, K. Batbayar, R. Sharma, D. Sharma, D. Popli, N. Kumar, A. Goel, Towards
Adapting Sakai for e-Learning Provider, in: Proceedings of the 7th International Conference
on Computer Supported Education - CSEDU, INSTICC, SciTePress, 2015, pp. 306–314.
doi:10.5220/0005446603060314.
[12] L. Moreno, C. Gonzalez, I. Castilla, E. J. Gonzalez, J. Sigut, Use of Constructivism and
Collaborative Teaching in an ILP Processors Course, IEEE Transactions on Education 50
(2007) 101–111. doi:10.1109/TE.2006.886461.
[13] S. Hartmann, S. Link, T. Trinh, Solving the Implication Problem for XML Functional
Dependencies with Properties, in: A. Dawar, R. de Queiroz (Eds.), Logic, Language,
Information and Computation, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp.
161–175. doi:10.1007/978- 3- 642- 13824- 9_14.
[14] J. Vaiopoulou, S. Papadakis, E. Sifaki, D. Stamovlasis, M. Kalogiannakis, 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
(2021) 82. doi:10.3390/bs11060082.
[15] Y. Taher, D. K. Nguyen, F. Lelli, W. van den Heuvel, M. P. Papazoglou, On Engineering
Cloud Applications - State of the Art, Shortcomings Analysis, and Approach, Scalable
Comput. Pract. Exp. 13 (2012). URL: http://www.scpe.org/index.php/scpe/article/view/794.
[16] L. J. Zheng, C. Xiong, X. Chen, C.-S. Li, Product innovation in entrepreneurial firms: How
business model design influences disruptive and adoptive innovation, Technological Forecasting and Social Change 170 (2021) 120894. doi:10.1016/j.techfore.2021.120894.
[17] P. Lipinski, M. Yatsymirskyy, On synthesis of 4-tap and 6-tap reversible wavelet filters,
Przeglad Elektrotechniczny 84 (2008) 284 – 286.
[18] L. Nanni, S. Brahnam, A. Lumini, Selecting the Best Performing Rotation Invariant
Patterns in Local Binary/Ternary Patterns, in: H. R. Arabnia, L. Deligiannidis, G. Schaefer,
A. M. G. Solo (Eds.), Proceedings of the 2010 International Conference on Image Processing,
Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada,
USA, 2 Volumes, CSREA Press, 2010, pp. 369–375.
[19] R. Mehmood, J. A. Lu, Computational Markovian analysis of large systems, Journal of Manufacturing Technology Management 22 (2011) 804 – 817. doi:10.1108/17410381111149657.
[20] C. Esposito, V. Moscato, G. Sperlí, Trustworthiness Assessment of Users in Social Reviewing
Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (2022) 151–165.
doi:10.1109/TSMC.2020.3049082.
[21] T. Moser, S. Biffl, W. D. Sunindyo, D. Winkler, Integrating Production Automation Expert
Knowledge Across Engineering Stakeholder Domains, in: 2010 International Conference
on Complex, Intelligent and Software Intensive Systems, 2010, pp. 352–359. doi:10.1109/
CISIS.2010.57.
[22] R. Naha, S. Garg, S. K. Battula, M. B. Amin, D. Georgakopoulos, Multiple linear regressionbased energy-aware resource allocation in the fog computing environment, Computer
Networks 216 (2022) 109240. doi:10.1016/j.comnet.2022.109240.
[23] S. Papadakis, Creativity and innovation in European education. Ten years eTwinning. Past,
present and the future, International Journal of Technology Enhanced Learning 8 (2016)
279–296. doi:10.1504/IJTEL.2016.082315.
[24] M. A. Brune, G. E. Fagg, M. M. Resch, Message-passing environments for metacomputing,
Future Generation Computer Systems 15 (1999) 699–712. doi:10.1016/S0167- 739X(99)
00020- 5.
[25] N. Rizun, Y. Taranenko, W. Waloszek, The Algorithm of Modelling and Analysis of Latent
Semantic Relations: Linear Algebra vs. Probabilistic Topic Models, in: P. Różewski, C. Lange
(Eds.), Knowledge Engineering and Semantic Web, Springer International Publishing,
Cham, 2017, pp. 53–68. doi:10.1007/978- 3- 319- 69548- 8_5.
[26] S. A. Abdulrahman, W. Khalifa, M. Roushdy, A.-B. M. Salem, Comparative study for 8
computational intelligence algorithms for human identification, Computer Science Review
36 (2020) 100237. doi:10.1016/j.cosrev.2020.100237.
[27] I. Voulgari, V. Komis, D. G. Sampson, Learning outcomes and processes in massively
multiplayer online games: exploring the perceptions of players, Educational Technology
Research and Development 62 (2014) 245–270. doi:10.1007/s11423- 013- 9312- 7.
[28] A. Sarasa-Cabezuelo, Prediction of Rainfall in Australia Using Machine Learning, Information 13 (2022) 163. doi:10.3390/info13040163.
[29] P. K. Singh, C. Aswani Kumar, A Method for Reduction of Fuzzy Relation in Fuzzy Formal
Context, in: P. Balasubramaniam, R. Uthayakumar (Eds.), Mathematical Modelling and
Scientific Computation, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, pp. 343–350.
doi:10.1007/978- 3- 642- 28926- 2_37.
[30] C. Bordeux, R. Boulic, D. Thalmann, An Efficient and Flexible Perception Pipeline for
Autonomous Agents, Computer Graphics Forum 18 (1999) 23–30. doi:https://doi.org/
10.1111/1467- 8659.00324.
[31] L. Wu, C.-K. Looi, L. Liu, M.-L. How, Understanding and developing in-service teachers’
perceptions towards teaching in computational thinking: Two studies, in: R. M. M. T.,
Y. J.-C., W. L.-H., C. M. (Eds.), ICCE 2018 - 26th International Conference on Computers in
Education, Main Conference Proceedings, Asia-Pacific Society for Computers in Education,
2018, p. 735 – 742.
[32] J. Lameski, A. Jovanov, E. Zdravevski, P. Lameski, S. Gievska, Skin lesion segmentation
with deep learning, in: IEEE EUROCON 2019 -18th International Conference on Smart
Technologies, 2019, pp. 1–5. doi:10.1109/EUROCON.2019.8861636.
[33] O. Kuzminska, Selecting tools to enhance scholarly communication through the life cycle
of scientific research, Educational Technology Quarterly 2021 (2021) 402–414. doi:10.
55056/etq.19.
[34] Y. Shapovalov, V. Shapovalov, R. Tarasenko, Z. Bilyk, I. Shapovalova, A. Paschke, F. Andruszkiewicz, Practical application of systemizing expedition research results in the form of
taxonomy, Educational Technology Quarterly 2022 (2022) 216–231. doi:10.55056/etq.40.
[35] A. Kiv, S. Semerikov, V. Soloviev, XII International Conference on Mathematics, Science
and Technology Education: conference report, Educational Technology Quarterly 2021
(2021) 140–256. doi:10.55056/etq.54.
[36] S. Semerikov, V. Osadchyi, O. Kuzminska, 1st Symposium on Advances in Educational
Technology: Outlook, Educational Technology Quarterly 2021 (2021) 429–604. doi:10.
55056/etq.53.
[37] S. Semerikov, Educational Technology Quarterly: in the beginning, Educational Technology Quarterly 2021 (2021) 1–50. doi:10.55056/etq.13.
[38] L. O. Fadieieva, Adaptive learning: a cluster-based literature review (2011-2022), Educational Technology Quarterly 2023 (2023) 319–366. doi:10.55056/etq.613.
[39] T. Vakaliuk, Structural model of a cloud-based learning environment for bachelors in
software engineering, Educational Technology Quarterly 2021 (2021) 257–273. doi:10.
55056/etq.17.
[40] T. Vakaliuk, O. Spirin, V. Kontsedailo, Formation of digital competence of CS bachelors in
the use of cloud-based learning environments, Educational Technology Quarterly 2021
(2021) 388–401. doi:10.55056/etq.26.
[41] V. Oleksiuk, O. Oleksiuk, The practice of developing the academic cloud using the Proxmox
VE platform, Educational Technology Quarterly 2021 (2021) 605–616. doi:10.55056/etq.
36.
[42] V. Velychko, E. Fedorenko, N. Kaidan, V. Kaidan, Application of cloud computing in the
process of professional training of physics teachers, Educational Technology Quarterly
2021 (2021) 662–672. doi:10.55056/etq.38.
[43] R. Tarasenko, S. Amelina, S. Semerikov, L. Shen, Creating a cloud-based translator training
environment using Memsource, Educational Technology Quarterly 2022 (2022) 203–215.
doi:10.55056/etq.33.
[44] T. Vakaliuk, O. Spirin, O. Korotun, D. Antoniuk, M. Medvedieva, I. Novitska, The current
level of competence of schoolteachers on how to use cloud technologies in the educational
process during COVID-19, Educational Technology Quarterly 2022 (2022) 232–250. doi:10.
55056/etq.32.
[45] Y. Kuchyn, O. Naumenko, O. Vlasenko, S. Lytvynova, O. Burov, I. Kucherenko,
P. Mykytenko, The experience of designing a single information and educational environment of the university ”NMU Digital”, Educational Technology Quarterly 2022 (2022)
73–87. doi:10.55056/etq.10.
[46] J. R. Carambas, F. P. Espique, Lived experiences of teachers and students in distance
education: shift from traditional to online learning, Educational Technology Quarterly
(2023). URL: https://acnsci.org/journal/index.php/etq/article/view/606. doi:10.55056/etq.
606.
[47] M. I. Striuk, A. M. Striuk, S. O. Semerikov, Mobility in the information society: a holistic model, Educational Technology Quarterly 2023 (2023) 277–301. doi:10.55056/etq.619.
[48] I. Trubavina, V. Vorozhbit-Gorbatyuk, M. Shtefan, K. Kalina, O. Dzhus, From the experience
of organizing artistic and productive activities of older preschool children by means of
distance education in the conditions of quarantine measures for the spread of COVID-19,
Educational Technology Quarterly 2021 (2021) 51–72. doi:10.55056/etq.56.
[49] S. Shekhavtsova, T. Koknova, M. Shekhavtsov, Using web technologies in the process of
development of students’ critical thinking, Educational Technology Quarterly 2021 (2021)
310–330. doi:10.55056/etq.28.
[50] N. Pinchuk, O. Pinchuk, O. Bondarchuk, V. Balakhtar, K. Balakhtar, N. OnopriienkoKapustina, M. Shyshkina, O. Kuzminska, Personal indicators of occupational stress of
employees working remotely in a pandemic quarantine, Educational Technology Quarterly
2022 (2022) 129–142. doi:10.55056/etq.8.
[51] V. I. Kovalchuk, S. V. Maslich, L. H. Movchan, Digitalization of vocational education under
crisis conditions, Educational Technology Quarterly 2023 (2023) 1–17. doi:10.55056/etq.
49.
[52] S. S. Iyer, L. Gernal, R. Subramanian, A. Mehrotra, Impact of digital disruption influencing
business continuity in UAE higher education, Educational Technology Quarterly 2023
(2023) 18–57. doi:10.55056/etq.29.
[53] T. A. Vakaliuk, O. V. Chyzhmotria, O. H. Chyzhmotria, S. O. Didkivska, V. V. Kontsedailo,
The use of massive open online courses in teaching the fundamentals of programming
to software engineers, Educational Technology Quarterly 2023 (2023) 106–120. doi:10.
55056/etq.37.
[54] A. L. Miller, Adapting to teaching restrictions during the COVID-19 pandemic in Japanese
universities, Educational Technology Quarterly 2022 (2022) 251–262. doi:10.55056/etq.
21.
[55] M. Kovtoniuk, O. Kosovets, O. Soia, L. Tyutyun, Virtual learning environments: major
trends in the use of modern digital technologies in higher education institutions, Educational Technology Quarterly 2022 (2022) 183–202. doi:10.55056/etq.35.
[56] O. V. Prokhorov, V. O. Lisovichenko, M. S. Mazorchuk, O. H. Kuzminska, 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
(2022) 366–387. doi:10.55056/etq.430.
[57] P. P. Nechypurenko, M. P. Chernova, O. O. Evangelist, T. V. Selivanova, Enhancing student
research activities through virtual chemical laboratories: a case study on the topic of
Solutions, Educational Technology Quarterly 2023 (2023) 188–209. doi:10.55056/etq.603.
[58] O. G. Glazunova, V. I. Korolchuk, O. V. Parhomenko, T. V. Voloshyna, N. V. Morze, E. M.
Smyrnova-Trybulska, A methodology for flipped learning in a cloud-oriented environment:
enhancing future IT specialists’ training, Educational Technology Quarterly 2023 (2023)
233–255. doi:10.55056/etq.629.
[59] L. F. Panchenko, V. Y. Velychko, Unveiling the potential of structural equation modelling in educational research: a comparative analysis of Ukrainian teachers’ self-efficacy,
Educational Technology Quarterly 2023 (2023) 157–172. doi:10.55056/etq.601.
[60] Z. I. Bilyk, Y. B. Shapovalov, V. B. Shapovalov, A. P. Megalinska, S. O. Zhadan, F. Andruszkiewicz, A. Dołhańczuk-Śródka, P. D. Antonenko, Comparison of Google Lens recognition performance with other plant recognition systems, Educational Technology
Quarterly 2022 (2022) 328–346. doi:10.55056/etq.433.
[61] N. Morze, O. Buinytska, L. Varchenko-Trotsenko, S. Vasylenko, D. Nastas, A. Tiutiunnyk, S. Lytvynova, System for digital professional development of university teachers,
Educational Technology Quarterly 2022 (2022) 152–168. doi:10.55056/etq.6.
[62] V. Kukharenko, B. Shunevych, H. Kravtsov, Distance course examination, Educational
Technology Quarterly 2022 (2022) 1–19. doi:10.55056/etq.4.
[63] K. V. Vlasenko, S. V. Volkov, I. V. Lovianova, I. V. Sitak, O. O. Chumak, N. H. Bohdanova,
Exploring usability principles for educational online courses: a case study on an open
platform for online education, Educational Technology Quarterly 2023 (2023) 173–187.
doi:10.55056/etq.602.
[64] L. Hrynevych, N. Morze, V. Vember, M. Boiko, Use of digital tools as a component of
STEM education ecosystem, Educational Technology Quarterly 2021 (2021) 118–139.
doi:10.55056/etq.24.
[65] O. O. Martyniuk, O. S. Martyniuk, S. Pankevych, I. Muzyka, Educational direction of
STEM in the system of realization of blended teaching of physics, Educational Technology
Quarterly 2021 (2021) 347–359. doi:10.55056/etq.39.
[66] Y. B. Shapovalov, Z. I. Bilyk, S. A. Usenko, V. B. Shapovalov, K. H. Postova, S. O. Zhadan, P. D.
Antonenko, Harnessing personal smart tools for enhanced STEM education: exploring
IoT integration, Educational Technology Quarterly 2023 (2023) 210–232. doi:10.55056/
etq.604.
[67] Z. Seidametova, Z. Abduramanov, G. Seydametov, Hackathons in computer science
education: monitoring and evaluation of programming projects, Educational Technology
Quarterly 2022 (2022) 20–34. doi:10.55056/etq.5.
[68] O. Burov, Design features of the synthetic learning environment, Educational Technology
Quarterly 2021 (2021) 689–700. doi:10.55056/etq.43.
[69] O. Y. Burov, O. P. Pinchuk, 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 (2023) 58–68. doi:10.55056/etq.435.
[70] O. Gayevska, H. Kravtsov, Approaches on the augmented reality application in Japanese
language learning for future language teachers, Educational Technology Quarterly 2022
(2022) 105–114. doi:10.55056/etq.7.
[71] S. M. Amelina, R. O. Tarasenko, S. O. Semerikov, L. Shen, Using mobile applications
with augmented reality elements in the self-study process of prospective translators,
Educational Technology Quarterly 2022 (2022) 263–275. doi:10.55056/etq.51.
[72] O. V. Klochko, V. M. Fedorets, Using immersive reality technologies to increase a physical
education teacher’s health-preserving competency, Educational Technology Quarterly
2022 (2022) 276–306. doi:10.55056/etq.431.
[73] V. P. Oleksiuk, O. R. Oleksiuk, Examining the potential of augmented reality in the study
of Computer Science at school, Educational Technology Quarterly 2022 (2022) 307–327.
doi:10.55056/etq.432.
[74] O. V. Kanivets, I. M. Kanivets, T. M. Gorda, Development of an augmented reality mobile
physics application to study electric circuits, Educational Technology Quarterly 2022
(2022) 347–365. doi:10.55056/etq.429. [75] P. P. Nechypurenko, S. O. Semerikov, O. Y. Pokhliestova, Cloud technologies of augmented
reality as a means of supporting educational and research activities in chemistry for 11th
grade students, Educational Technology Quarterly 2023 (2023) 69–91. doi:10.55056/etq.
44.
[76] G. V. Marchuk, V. V. Levkivskyi, M. S. Graf, Y. A. Dombrovska, I. V. Panarina, Mobile
application for advertising faculty educational services, Educational Technology Quarterly
2023 (2023) 92–105. doi:10.55056/etq.30.
[77] L. I. Bilousova, O. H. Kolgatin, L. S. Kolgatina, Computer-oriented management of students’
educational activity in informatics practicum, Educational Technology Quarterly 2023
(2023) 256–276. doi:10.55056/etq.628.
[78] T. A. Vakaliuk, D. S. Antoniuk, The use of digital technology in general secondary education
in Ukraine: current state and future prospects, CEUR Workshop Proceedings (2023) 17–31.
[79] O. M. Mikhailutsa, T. O. Melikhova, A. V. Pozhuyev, H. M. Kravtsov, Interactive teaching methods with visualization for technical and economic students, CEUR Workshop
Proceedings (2023) 32–47.
[80] S. M. Amelina, R. O. Tarasenko, S. O. Semerikov, Enhancing foreign language learning
with cloud-based mind mapping techniques, CEUR Workshop Proceedings (2023) 48–60.
[81] H. M. Shalatska, O. Y. Zotova-Sadylo, O. V. Balanaieva, H. M. Kravtsov, Designing and
evaluating ESP courses on Moodle for enhancing language skills in online learning, CEUR
Workshop Proceedings (2023) 61–79.
[82] T. A. Vakaliuk, O. A. Chernysh, V. O. Babenko, An algorithm for compiling an electronic
multilingual terminological dictionary, CEUR Workshop Proceedings (2023) 80–93.
[83] S. V. Symonenko, N. V. Zaitseva, K. P. Osadcha, O. H. Kuzminska, English language training
for IT professionals at Ukrainian universities: pedagogical conditions and content, CEUR
Workshop Proceedings (2023) 94–112.
[84] E. A. Lavrov, V. G. Logvinenko, V. V. Osadchyi, O. Y. Siryk, Y. I. Chybiriak, Adaptive
learning system based on cognitive independence, CEUR Workshop Proceedings (2023)
113–127.
[85] E. G. Fedorenko, V. Y. Velychko, O. G. Naboka, H. M. Kravtsov, Informatization of education:
driving force for integration of modern higher education in the global information space,
CEUR Workshop Proceedings (2023) 128–147.
[86] R. K. Makhachashvili, S. I. Kovpik, A. O. Bakhtina, N. V. Morze, Structuring and visualizing
fictional and real life empirical concepts with emoji symbols: a case study of José Ángel
Buesa’s poetry and Borys Grinchenko’s image, CEUR Workshop Proceedings (2023)
148–168.
[87] O. P. Voitovych, R. M. Horbatiuk, I. S. Voitovych, M. P. Shyshkina, N. M. Shostakivska,
Multilevel continuing professional teaching for vocational education specialists, CEUR
Workshop Proceedings (2023) 169–183.
[88] M. A. Galaburda, O. H. Kuzminska, M. K. Halaburda, ICT for food safety education: a case
study of an Erasmus+ Jean Monnet Module on EU food safety control, CEUR Workshop
Proceedings (2023) 184–195.