8th Workshop on Cloud Technologies in Education: Report Serhiy O. Semerikov1,2,3,4 , Mariya P. Shyshkina3 , Andrii M. Striuk2 , Mykola I. Striuk2 , Iryna S. Mintii1,3 , Olga O. Kalinichenko1 , Larisa S. Kolgatina5 and Maryna Ye. Karpova5 1 Kryvyi Rih State Pedagogical University, 54 Gagarin Ave., Kryvyi Rih, 50086, Ukraine 2 Kryvyi Rih National University, 11 Vitalii Matusevych Str., Kryvyi Rih, 50027, Ukraine 3 Institute of Information Technologies and Learning Tools of the NAES of Ukraine, 9 M. Berlynskoho Str., Kyiv, 04060, Ukraine 4 University of Educational Management, 52-A Sichovykh Striltsiv Str., Kyiv, 04053, Ukraine 5 H. S. Skovoroda Kharkiv National Pedagogical University, 29 Alchevskyh Str., Kharkiv, 61002, Ukraine 5 Alfred Nobel University, 18 Sicheslavska Naberezhna Str., Dnipro, 49000, Ukraine Abstract This is an introductory text to a collection of selected papers from the 8th Workshop on Cloud Tech- nologies in Education (CTE 2020) which was held in Kryvyi Rih, Ukraine, on the December 18, 2020. It consists of short introduction, papers’ review and some observations about the event and its future. Keywords Adaptive Cloud Learning Platforms, Blended Learning, Blockchain in Education, Cloud-based AI Ed- ucation Applications, Cloud-based E-learning Platforms, Tools and Services, Cloud-based Learning Environments, Competency-Based Education Platforms, Digital Transformation of Education, Educa- tional Data Mining, Emotion AI, Immersive Technology Applications in Education, Mobile Learning, Smart Campus Technologies, Social Analytics in Education CTE 2020: 8th Workshop on Cloud Technologies in Education, December 18, 2020, Kryvyi Rih, Ukraine " semerikov@gmail.com (S. O. Semerikov); shyshkina@iitlt.gov.ua (M. P. Shyshkina); andrey.n.stryuk@gmail.com (A. M. Striuk); stryukm@gmail.com (M. I. Striuk); irina.mintiy@kdpu.edu.ua (I. S. Mintii); olgakalinichenko6@gmail.com (O. O. Kalinichenko); larakl@ukr.net (L. S. Kolgatina) ~ https://kdpu.edu.ua/semerikov (S. O. Semerikov); https://iitlt.gov.ua/eng/structure/departments/cloud/detail.php?ID=269 (M. P. Shyshkina); http://mpz.knu.edu.ua/pro-kafedru/vikladachi/224-andrii-striuk (A. M. Striuk); https://kdpu.edu.ua/personal/ismintii.html (I. S. Mintii); https://kdpu.edu.ua/personal/ookalinichenko.html (O. O. Kalinichenko); http://hnpu.edu.ua/uk/kolgatina-larysa-sergiyivna (L. S. Kolgatina); http://kardioritm.com.ua/vrachy/42-karpova-marina-evgenevna (M. Ye. Karpova)  0000-0003-0789-0272 (S. O. Semerikov); 0000-0001-5569-2700 (M. P. Shyshkina); 0000-0001-9240-1976 (A. M. Striuk); 0000-0002-7456-3725 (M. I. Striuk); 0000-0003-3586-4311 (I. S. Mintii); 0000-0002-7057-2675 (O. O. Kalinichenko); 0000-0003-2650-8921 (L. S. Kolgatina); 0000-0002-7694-0379 (M. Ye. Karpova) © 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings http://ceur-ws.org ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org) 1 1. Introduction 1.1. CTE 2020: At a glance Cloud Technologies in Education (CTE) is a peer-reviewed international Computer Science workshop focusing on research advances, applications of cloud technology in education. The Workshop occupies contributions in all aspects of educational technologies and cloud- based learning tools, platforms, paradigms and models, functioning programmes or papers relevant to modern engineering and technological decisions in the IT age. CTE topics of interest since 2017 [1, 2, 3]: • Adaptive Cloud Learning Platforms • Blended Learning • Blockchain in Education • Cloud-based AI Education Applications Figure 1: CTE 2020 logo • Cloud-based E-learning Platforms, Tools and Services • Cloud-based Learning Environments • Competency-Based Education Platforms • Digital Transformation of Education • Educational Data Mining • Emotion AI • Immersive Technology Applications in Education • Mobile Learning • Smart Campus Technologies • Social Analytics in Education This volume represents the proceedings of the 8th Work- shop on Cloud Technologies in Education (CTE 2020), held in Ukraine, Ukraine, on December 18, 2020. It comprises 31 contributed paper that were carefully peer-reviewed and selected from 52 submissions (https://notso.easyscience. education/cte/2020/). Each submission was reviewed by at least 3 program committee members. The accepted paper present the state-of-the-art overview of successful cases and provides guidelines for future research. The volume is structured in seven parts, each presenting the contributions for a particular workshop session. 1.2. CTE 2020 Program Committee Assoc. Prof. Leon A. Abdillah, Associate Professor of Computer Science, Department of Information Systems, Universitas Bina Darma, Palembang, Indonesia. Leon was born in West Limau, Prabumulih, South Suma- tra. He has studied Information Systems, Information Systems Management, and Information 2 Retrieval Systems during his studies. In 2001 he joined as a lecturer at one of the leading private universities in Palembang City. In 2010 he became an Associate Professor (Assoc. Prof.) at the Faculty of Computer Science, Information Systems Study Program (Accredited A). He is currently the coordinator of the enterprise systems research group. Assoc. Prof. Leon A. Abdillah is active as a speaker, author, editor, reviewer, committee on a number of journals, conferences/seminars, books/book chapters, etc. He has included 500 Indonesian scientists (Webometrics, 2015), examiners at Monash University (Group of Eight), Australia, and mentors at Publons, New Zealand. He also often gets awards for the best undergraduate and post gradu- ate category, the best computer science lecturer, the best reference article, excellent paper, top reviewer, selected article, etc. WWW: https://leonabdillah.wordpress.com/ E-mail: leon.abdillah@yahoo.com Dr. Fernando Almeida, University of Porto & INESC TEC, Portugal. He is an IT Engineer graduated in Information Systems and Computing at Faculty of Engineering of University of Porto (FEUP) with a master degree in the fields of Entrepreneurship and Inno- vation. Besides that, he also have a PhD. degree in the field of telecommunications management. He also have some relevant professional experience, within the public and private sectors. In the public sector, he already worked at FEUP University as asses- sor of SEF, where he was responsible for the development and coordination of information systems projects. In the private sector, he already had the opportunity to work at Critical Software and Qimonda in the competence department of Database. He also worked at INESC Porto in the ENTHRONE and VISNET II European Projects. Currently, he work at ISR Porto where he is responsible for the creation of a transport experton for a company’s consortium leaded by Airbus. WWW: https://web.fe.up.pt/~ei98047/biography.htm E-mail: almd@fe.up.pt Prof. Dr. Vitalina Babenko is Professor (Full) of Interna- tional E-commerce and Hotel&Restaurant Business Depart- ment, V. N. Karazin Kharkiv National University (Ukraine), Dr. Sci. (habil.) in Economics, PhD in Technical Sciences. Her sphere of scientific interests includes the manage- ment of innovation processes, economic-mathematical mod- elling, information systems and technologies. She has pub- lished around 300 papers in peer-reviewed journals and in the proceedings of conferences. She has taken part in more than 100 conferences and workshops as a Chair, Keynote Speaker, member of the Scientific Program Committee, an Organizer and Session Chair. She is Editor-in-Chief of Journal of International Relations, 3 Economics, Country Studies, Tourism; International Journal of Economics and Management Systems and member of editorial board of some scientific journals. She is the Member of Doctoral Academic Councils in Economics, Expert of the Ministry of Education of Ukraine and Expert of Ukrainian Institute Scientific Technical Information. Council many national and international informatics associations. WWW: http://international-relations-tourism.karazin.ua/Babenko E-mail: vitalinababenko@karazin.ua Dr. Liudmyla Bilousova, Full Professor, Independent researcher, Kharkiv, Ukraine. Liudmyla Bilousova got a M.A. in Radio-physics from Kharkiv State University, USSR (1959), and PhD in physical- mathematical science from Kharkiv State University, USSR (1970). Liudmyla Bilousova headed Computer Science De- partment at H. S. Skovoroda Kharkiv National Pedagogical University for 27 years (1991–2018). She is a founder and a head of her scientific school on the problems of development of Informatics education and the implementation of innova- tive technologies in educational process. In the framework of the school a series of PhD and doctoral research has been completed. Dr. Liudmyla Bilousova is a scientific supervisor of 23 PhD theses. She is an author of about 400 scientific and methodical works including 5 collective monograph and 64 tutorials. Liudmyla Bilousova is a PC member of International Conference ICTERI-2019, International Workshop CTE, and ICon-MaSTEd. WWW: http://web.archive.org/web/20201027120942/http://hnpu.edu.ua/uk/bilousova-lyudmyla-ivanivna E-mail: lib215@gmail.com Dr. Olga Bondarenko, Candidate of Pedagogical Sciences, Associate Professor, Department of Economic and Social Geography and Methods of Teaching, Kryvyi Rih, Kryvyi Rih State Pedagogical University Kryvyi Rih, Ukraine. Olga Bondarenko, born in 1979, in 2001 graduated with honors from the geographical faculty of Kryvyi Rih State Pedagogical University, majoring in “Pedagogy and Method- ology of Secondary Education. Geography and Biology”, acquired Bachelor Degree. In 2002 she received a Master Degree with honors in the major “Pedagogy and Method- ology of Secondary Education. Geography”, qualified as a teacher of geography. In 2009, she successfully defended her PhD thesis at the Republican Higher Educational Institu- tion “Crimean Humanities University” (Yalta) and received a PhD in Pedagogical Sciences. Since 2005 he has been working at Kryvyi Rih State Pedagogical 4 University. Author of a number of scientific publications on vocational education, training of future teachers for pedagogical activity. Her research interests include teacher training, the use of ICTs and GIS technologies in the educational process. WWW: https://kdpu.edu.ua/personal/ovbondarenko.html E-mail: bondarenko.olga@kdpu.edu.ua Dr. Chun-Yen Chang is a science education scholar in Taiwan. Currently, he serves as National Taiwan Normal University (NTNU) Chair Professor, Director of Science Education, Professor of the Graduate Institute of Science Education and the Department of Earth Sciences. Over the past few years, he has been a Visiting Professor at the Taipei Medical University, The Education University of Hong Kong, and the Paris 8 University. Dr. Chang’s ma- jor research interests include science education, e-Learning, interdisciplinary science learning and science communica- tion. Dr. Chang now is the Editor-in-Chief of the Eurasia Journal of Mathematics, Science and Technology Education and European Journal of Mathematics and Science Education, as well as the Co-editor of International Journal of Educa- tional Methodology. He is also on the Editorial Board of three SSCI-level journals: (1) Studies in Science Education (science education); (2) Learning, Media & Technology (learning technology); (3) Journal of Sci- ence Education and Technology (science education & technology). In February 2013, Dr. Chang’s catechol-O-methyltransferase (COMT) study was privileged with a report by the New York Times Sunday Magazine, as well as in the news featured on Association of Psychological Science website. WWW: http://changcy.com/index_eng.html E-mail: changcy@ntnu.edu.tw Dr. Roman Danel, researcher at Department of Me- chanical Engineering, Faculty of Technology, Institute of Technology and Businesses (VŠTE) in České Budějovice, Czech Republic; assistant at Department of Applied Infor- matics, Faculty of Economics, VŠB-Technical university of Ostrava, Czech Republic; visiting professor at WSG Byd- goszcz, Poland. Roman Danel, born in 1967, spent 18 years in commercial practice in the field of IT / ICT, where he worked as an an- alyst, senior programmer, database and system administra- tor, project manager in information systems development, branch manager and for 4 years ran his own company spe- cializing in SW supplies for industrial systems. He has been working at the university since 2009, in 2012-2017 he was 5 the head of the Automation department at the Faculty of Mining and Geology, VŠB-Technical university of Ostrava. Since 2012, he has also been lecturing databases, information systems, operating system, MES system in production and www technologies at University of Economy Bydgoszcz (WSG), Poland. His research interests include information systems and automatic control in industry, databases, software engineering and business information systems. E-mail: danel@rdanel.cz Ing. Helena Fidlerová, Ph.D., a senior researcher at the Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Industrial Engineering and Management, Slovakia. Ing. Helena Fidlerová, Ph.D. received her Ph.D. degree in the field of Industrial Management in 2006. Her research aims at issues of education, STEM education, digital competences, Industry 4.0, Education 4.0, industrial engineering, sustainable competences, and the application of statistical methods. Since her study has extensive experience in domestic research projects under Slovak Ministry of Education VEGA, KEGA), and international projects e.g. ALTECS – Knowledge exchange in the framework of alternative economic systems for the promotion of sustainable regional development; International Visegrad Fund No. -21810100: Academic Research Consortium integrating databases, robotics, and language technologies. He is a project leader for Slovakia in Erasmus + KA2 project: Knowledge Alliance for Business Opportunity Recognition in SDGs. She is a member of the Slovak Statistical and Demographic Society (SDSS), a member of the International Association of Engineers (IAENG and member of the editorial board of Acta logistica. WWW: https://orcid.org/0000-0002-3426-5803 E-mail: helena.fidlerova@stuba.sk Dr. Irina Georgescu, Lecturer of Computational Intelli- gence, Department of Informatics and Economic Cybernet- ics, Bucharest University of Economics, Bucharest, Roma- nia. Irina GEORGESCU holds a PhD in Economics from Turku Centre for Computer Science, Turku, Finland. Currently she is a lecturer at the Department of Economic Informatics and Cybernetics, Bucharest Academy of Economic Studies. Her research interests lie in the areas of fuzzy economics, computational intelligence and econometrics. She is the author of about 40 journal papers and 2 books published in Springer Verlag. E-mail: irina.georgescu@csie.ase.ro Dr. Liudmyla Gryzun, Full Professor of Information System Department at Simon Kuznets Kharkiv National University of Economics, Ukraine. Liudmyla Gryzun earned a M.A. in Applied Mathematics from the Kharkiv State University, USSR (1986); PhD and Second Doctoral Degree in Pedagogical science from G.S. Skovoroda Kharkiv National Pedagogical University (Ukraine). 6 The sphere of her research is focused on the curriculum and educational content design in higher education, the process of curriculum disciplines structuring, based on sci- entific knowledge integration; AI application to pedagogical problems solution; IT tools for inquiry-based and holistic learning etc. She is an author of more than 120 scientific and methodical works including 1 monograph, 2 collec- tive monographs, and 6 tutorials. Liudmyla Gryzun has delivered a number of Keynote presentations at the Interna- tional conferences: 2018 ICTEL (Rome, Italy), 2018 ICRTEL (Barcelona, Spain), 2019 ICSTR (Rome, Italy), 2020 ICSTR (Berlin, Germany; Paris, France; London, UK) and others. She is also a reviewer of the foreign journals (Universal Journal of Educational Research (USA); Athens Journal of Education, IJIRES (International Journal of Innovation and Research in Educational Sciences)). Liudmyla Gryzun is a PC member of International Workshop CTE and ICon-MaSTEd 2020. WWW: http://www.is.ksue.edu.ua/?q=node/295, https://www.linkedin.com/in/liudmyla-gryzun-68769280/, https://www.researchgate.net/profile/Liudmyla_Gryzun E-mail: Lgr2007@ukr.net Dr. Vita Hamaniuk, Professor of German, Literature and Didactics, Department of German, Literature and Di- dactics, Kryvyi Rih State Pedadogical University, Kryvyi Rih, Ukraine. Vita Hamaniuk, born in 1965, 1995 received a Candidate of Pedagogical Sciences degree (Dr. ped.) from the Kharkiv State Pedagogical H. Scovoroda University, in 2013 – a Doc- tor of Pedagogical Sciences degree (Dr. habil.) from the East-Ukrainian National Volodymyr Dahl University. In 2001 she received his habilitation as the Docent (Assoc. Prof.) at the Department of Foreign Languages of Kryvyi Rih State Pedagogical University. In 2015 she received his habilitation as the Professor (Full Prof.) at the Department of German, Literature and Didactics of Kryvyi Rih State Pedagogical University. From September 1995 until now Vita Hamaniuk worked as a head of Department of Foreign Languages, as an Associate Professor, Head of Department, Full Professor of Department of German, Literature and Didactics. From April 2017, she works as vice-rector for research at Kryvyi Rih State Pedagogical University. Her research interests include foreign languages teaching and learning, didactics of multilingualism, e-learning, blended learning, comparative researches in Education. She has published a number of papers in Ukrainian and international journals, actively participates in international conferences and projects. WWW: https://kdpu.edu.ua/personal/vagamanuk.html 7 E-mail: vitana65@gmail.com Dr. Dragos, Daniel IORDACHE is a scientific researcher 2nd degree in the "Systems and Applications for Society" department of ICI Bucharest and university lecturer at the Faculty of Psychology and Educational Sciences from Uni- versity of Bucharest. He received the PhD degree in Science of Education from the University of Bucharest in 2012. His research interests include: virtual learning environments, augmented reality, professional and career counseling, us- ability and pedagogical evaluation of e-Learning systems, user testing and heuristic evaluation of interactive systems. WWW: https://www.researchgate.net/profile/Dragos_ Iordache E-mail: dragos.iordache@ici.ro M.-Carmen Juan has a Ph.D. in Computer Science (2000) from the Universitat Politècnica de València (UPV). She has been a professor at the UPV since 1996 and a Full Professor since 2014. Her areas of interest include: computer graphics, virtual and augmented reality, advanced user interfaces and their applications to psychology, medicine, and education- entertainment. WWW: http://personales.upv.es/mjuanli/, http://www. upv.es/ficha-personal/mjuanli E-mail: mcarmen@dsic.upv.es Arnold Kiv received the D. Sc. (Dr. Hab.) degree in solid state physics from Tartu Institute of Physics, Tartu, Estonia, in 1978. From 1964 to 1982, he was a Senior Researcher and a Head of the Laboratory of Radiation Effects, Institute of Nu- clear Physics, Academy of Sciences, Tashkent, Uzbekistan. From 1983 to 1998, he was a Head of the Department of Theoretical Physics, South-Ukrainian National Pedagogical University, Odessa, Ukraine. In 1997, he was an Invited Professor, Western Ontario University, Canada. From 1999 to the present, he is a Professor-Researcher in the Depart- ment of Materials Engineering, Ben-Gurion University of the Negev, Israel. In 1996 and 2011 he was co-Director of NATO Advanced research Workshops and an Editor of two NATO Series books. He has about 200 publications, three monographs and three Invention Certificates in the field of radiation effects in solid state electronics. His research interests include mechanisms of formation of radiation defects in solids, interaction of fast particles with materials, radiation methods in 8 microelectronics, including computer simulation, analytical calculations and experimental studies. Dr. Oleksandr Kolgatin, Professor of Informatics, De- partment of Information Systems, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine. Oleksandr Kolgatin, born in 1966, received a Candidate of Technical Sciences degree (Dr. phil.) from the Institute for Low Temperature Physics and Engineering of the Na- tional Academy of Sciences of Ukraine, in 1995, the field of scientific interests was computational modeling of the heat and mass transfer processes. Since 1990, he worked in the field of teaching informatics and using information tech- nologies in education and received a Doctor of Pedagogical Sciences degree (Dr. habil.) from the Institute of Information technologies and Learning Tools of the National Academy of Pedagogical Sciences of Ukraine, in 2011. His research interests include computational modeling, pedagogical diag- nostics, information systems and technologies in education. He has published a number of papers in international journals and volumes in book series, is a member of editorial boards of Journal of Information Technologies in Education and associate editor of Information Technologies and Learning Tools. WWW: http://www.is.hneu.edu.ua/?q=node/294 E-mail: kolgatin@ukr.net Assoc. Prof. Yaroslav Krainyk, Head of Computer En- gineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine. Yaroslav Krainyk, born in 1990, received a Ph.D. degree in Computer Systems and Components from Petro Mohyla Black Sea State University, Ukraine, in 2016. His research interests include computer systems and their applications, embedded systems, reconfigurable computing, FPGA. Since 2016, he has been a member of Computer Engineering De- partment as a senior lecturer, doctoral student, and associate professor. In 2019, he became a head of Computer Engineer- ing Department. He has participated in the reviewing of papers published by Elsevier, IEEE, and Springer. He is a section editor in Computer Science & Engineering Journal (https://cse-journal.com/index.php/journal). WWW: https://www.scopus.com/authid/detail.uri?authorId= 56925498100, https://orcid.org/0000-0002-7924-3878, https: //scholar.google.com/citations?user=-GCy09MAAAAJ E-mail: yaroslav.krainyk@chmnu.edu.ua 9 Dr. Hennadiy Kravtsov, Kherson State University, Ukraine. WWW: http://www.kspu.edu/About/Faculty/FPhysMathemInformatics/ ChairInformatics/Staff/Kravtsov.aspx E-mail: kgmkherson@gmail.com Dr. Volodymyr Kukharenko, Professor of Technical Cryophisics Department, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine. Volodymyr Kukharenko, born in 1947, received a Can- didate of Technical Sciences degree from Physical Technic Institute of Low Temperature National Academy of Sciences of Ukraine. Since 1976, he has been working in the field of low temperature at the National Technical University “Kharkiv Polytechnic Institute”, where he is professor of Technical Cryophisics Department and academician of International Academy of Refrigeration UD. His research interests include distance learning. He has published a number of papers in international journals and six books from creating distance courses, about tutor, blended learning. WWW: https://dl.khpi.edu.ua E-mail: kukharenkovn@gmail.com Dr. Andrey Kupin, Professor, Head of the Department of Computer Systems and Networks, Kryvyi Rih National University, Kryvyi Rih, Ukraine. Andrey Kupin was born in Slovianoserbsk, Luhansk re- gion, Ukraine, in 1972. He received the engineering degree in robotic systems and complexes from East-Ukrainian State University, in 1994. He received the Ph.D. degree in automation from Kryvyi Rih Technical University, in 2001. From 2006 to 2007, he worked as an Associated Professor of the Department of Informatics, Automation and Control Systems. In 2010 he became a doctor of science in automation, professor (2013). Dean of the Faculty of Information Technology (2011–2015). From 2007 he is the Head of the Department of Computer Systems and Networks. He is the author more than 190 articles and 8 patents. Professor Kupin as a scientific adviser has prepared 4 PhD and 1 DrSc. His research interests include artificial intelligence, information and integrated automation of technological processes. WWW: http://fit.knu.edu.ua/page/kafedra-komp-yuternykh-sistem-i-setey 10 E-mail: kupin@gmail.com Oksana Lytvyn, Candidate of Physical and Mathemat- ical Science, Senior Researcher, Head of the Chair of Com- puter Science and Mathematics, Faculty of Informational Technology and Management, Borys Grinchenko Kyiv Uni- versity, Kyiv, Ukraine. Educational background: 1993 – graduated from faculty of physics and mathematics of Precarpathian Stefanyk Uni- versity, Ivano-Frankivs’k, speciality: mathematics; from 1997 to 2001 – postgraduate student, physics and mathe- matics sciences, Institute of Semiconductor Physics NAS Ukraine, Scanning Probe Microscopy Lab, received a Can- didate of Physical and Mathematical Science in 2001. Re- searches and expertise: Computer simulation and mathe- matical methods in the field of scanning probe microscopy; methodology of teaching higher mathematics and computer science in higher educational institutions. Published over 200 works, h-index in Scopus – 17. Participation in international projects: Eurasia “Development of students’ mathematical com- petencies through Digital Mathematical Modeling (DeDiMaMo)”; Erasmus+K2 “Partnership for Learning and Teaching in University Mathematics (PLATINUM)”, Tempus “Development of Embedded System Courses with the implementation of Innovative Virtual approaches for integration of Research, Education and Production in UA, GE, AM”. E-mail: o.lytvyn@kubg.kiev.ua Liliia Midak, Candidate of chemical sciences, Associate Professor at the Department of Environmental Chemistry and Chemical Education, Vasyl Stefanyk Precarpathian Na- tional University, Ivano-Frankivsk, Ukraine. Liliia Midak graduated from the Vasyl Stefanyk Pre- carpathian University in 2002 (speciality Chemistry). In 2006 presented the candidate dissertation on subject “Physic- chemical and antifriction properties of composites on ther- mal stability polymers in interaction with titanium alloys”. She is a corresponding member of the Technical sciences Academy of Ukraine, the chairman of the public organi- zation “STUDY INNOVATION WORKSPACE LICO”. Her research interests include technology and characteristics of antifriction composite polymeric materials; mathemat- ical methods of planning and experiment analysis; safety of food (products); toxicology of synthetic washing chemicals; modern educational learning technologies; digital learning tools; augmented and virtual reality in education. WWW: https://chemeducation.pnu.edu.ua/5319-2/ 11 E-mail: lilia.midak@gmail.com Ph. D. Iryna Mintii, associate professor of Computer Sci- ence, Department of Computer Science and Applied Math- ematics, vice dean of Faculty of Physics and Mathemat- ics, Kryvyi Rih State Pedagogical University, Kryvyi Rih, Ukraine. Iryna Mintii received a Candidate of Pedagogical Sciences degree (Ph. D.) from the National Pedagogical Dragomanov University, Kyiv, Ukraine, in 2013. Her research interests include ICT in education. She has published a number of papers in international journals. WWW: https://kdpu.edu.ua/personal/ismintii.html E-mail: irina.mintiy@kdpu.edu.ua Dr. Natalia Moiseienko, Associated professor of Com- puter Science and Applied Mathematics Department, Kryvyi Rih State Pedagogical University, Kryvyi Rih, Ukraine. Natalia Moiseienko, born in 1973, received a Candidate of Philosophical Sciences degree (Dr. phil.) from the Odessa National Polytechnic University, Ukraine, in 2004. Since 1995, she has been working in the field of programming and computer modelling at the Kryvyi Rih State Pedagog- ical University, where she is currently associated professor. Her research interests include computer graphics, computer game programming and educational technologies. She has published a number of papers in international journals, is a Member of the Program Committee of many international conferences. WWW: https://kdpu.edu.ua/personal/nvmoiseienko.html E-mail: n.v.moiseenko@gmail.com Dr. Nataliia Morze, Corresponding Member of National Academy of Pedagogical Sciences of Ukraine, Professor of Borys Grinchenko Kyiv University Department of Com- puter Science and Mathematics, Borys Grinchenko Kyiv University, Kyiv, Ukraine. Nataliia Morze, received a Candidate of Pedagogical Sci- ences degree (Dr. phil.) from the Dragomanov National Pedagogical University (Kyiv) in 1987, and a Doctor of Peda- gogical Sciences degree (Dr. habil.) in 2004. Her professional and scientific interests are in the areas of distance learning technologies, education for adults, implementation of information and communication technologies into education process of secondary and higher educational institutions, creation of teaching and scientific e-learning 12 environment and development of teachers information competence. She is the author of more than 400 scientific papers in the field of computer science, informatics in a primary and sec- ondary schools, learning methodology, ICT in education, multimedia, teacher training in the area of ICT and e-learning. She is researcher and coordinator of Ukraine and international scientific and educational projects. WWW: http://wiki.kubg.edu.ua/%D0%9C%D0%BE%D1%80%D0%B7%D0%B5_%D0%9D%D0% B0%D1%82%D0%B0%D0%BB%D1%96%D1%8F_%D0%92%D1%96%D0%BA%D1%82%D0%BE%D1% 80%D1%96%D0%B2%D0%BD%D0%B0 E-mail: n.morze@kubg.edu.ua Pavlo Nechypurenko, Associate Professor of Depart- ment of Chemistry and Methods of its Teaching, Kryvyi Rih State Pedagogical University, Kryvyi Rih, Ukraine. Pavlo Nechypurenko, born in 1981, received a Magister of Teaching of Chemistry from Kryvyi Rih State Pedagogical University, Ukraine, in 2004, and a Candidate of Pedagog- ical Sciences degree (Dr. phil.) from the Luhansk Taras Shevchenko National University, Ukraine, in 2017. Since 2004, he has been working in the field of analytical chem- istry and method of solving chemical problems at the Kryvyi Rih State Pedagogical University. His research interests include using of ICT on Chemistry education, Analytical Chemistry, Technique of chemical experiment. He has pub- lished a number of papers in Ukrainian and international journals and developed a series of virtual laboratory work to teaching chemistry. E-mail: acinonyxleo@gmail.com, acinonyxleo@kdpu.edu.ua Yulia Nosenko, Leading Researcher, Department of Cloud-Oriented Systems of Education Informatization, In- stitute of Information Technologies and Learning Tools of NAES of Ukraine, Kyiv, Ukraine. Yuliia Nosenko, born in 1984, received a Candidate of Pedagogical Sciences degree (Ph.D.) in 2011. In 2010-2015 worked at Taras Shevchenko National University of Kiev (part time). Since 2010 has been working at the Institute of Information Technologies and Learning Tools of National Academy of Educational Sciences of Ukraine, where she is currently leading researcher. Her research interests relates to implementation and use of cloud services in education, formation and development of educators’ digital compe- tence, use of ICT as a tool for supporting inclusive learning. She has published over 80 scientific papers, including ar- ticles in international journals, is a member of editorial board of peer-reviewed e-journal 13 “Information Technologies and Learning Tools”. WWW: http://iitlt.gov.ua/structure/departments/cloud/detail.php?ID=48 E-mail: nosenko-y@ukr.net Vasyl Oleksiuk, PhD (pedagogical sciences), associate professor of the Department of Computer Science and Teach- ing Techniques, Ternopil Volodymyr Hnatiuk National Ped- agogical University, Ternopil, Ukraine. Vasyl Oleksiuk, born in 1980, received a Candidate of Pedagogical Sciences degree (Dr. phil.) from the National Pedagogical University, Kyiv, Ukraine, in 2007. Since 2003, he has been working Department of Computer Science and Teaching Techniques at Ternopil Volodymyr Hnatiuk Na- tional Pedagogical University, where he is currently asso- ciate professor. His research interests include computer networks, cloud computing, e-learning, electronic libraries. He has published a number of papers in Ukrainian and in- ternational journals, is a member of editorial boards of the journals Information Technologies and Learning Tools (In- stitute of Information Technologies and Learning Tools of NAES of Ukraine) and The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University (Series: pedagogy). WWW: http://tnpu.edu.ua/faculty/fizmat/oleksyuk-vasil-petrovich.php E-mail: oleksyuk@fizmat.tnpu.edu.ua DSc Kateryna Osadcha, Associate professor, Depart- ment of Computer Science and Cybernetics, Bogdan Khmel- nitsky Melitopol state pedagogical university, Melitopol, Ukraine. Kateryna Osadcha, born in 1977, received a Candidate of Pedagogical Sciences (PhD in Education) from the Vin- nytsia State Pedagogical University named after Mykhailo Kotsiubynsky, Ukraine, in 2010 and received a Doctor of Pedagogical Sciences (PhD in Education) from the Classic Private University (Zaporizhzhia), Ukraine, in 2020. Since 2011, she has been working as an Associate professor of the Department of Computer Science and Cybernetics at the Bogdan Khmelnitsky Melitopol state pedagogical univer- sity. Her research interests include: computer science, network technology, programming, ICT, e-learning, engineering education, educational technology, tutoring. She is author of about a hundred scientific works, including textbooks, monographs, author’s certificates. She is a mem- ber of editorial boards of “Ukrainian Journal of Educational Studies and Information Technology” (Ukraine), “International Conference on Higher Education Advances” (Spain), “Transactions of Kremenchuk Mykhailo Ostrohradskyi National University” (Ukraine), “Professional Education: Methodology, Theory and Technologies” (Ukraine), “Computing Conference 2021” (United 14 Kingdom). WWW: http://osadcha.mdpu.org.ua E-mail: okp@mdpu.org.ua Dr. Viacheslav Osadchyi, Professor of Department of Computer Science and Cybernetics, Bogdan Khmelnitsky Melitopol state pedagogical university, Melitopol, Ukraine. Viacheslav Osadchyi, born in 1975, received a Candidate of Pedagogical Sciences (PhD in Education) from the Vin- nytsia State Pedagogical University named after Mykhailo Kotsiubynsky, Ukraine, in 2006, and a Doctor of Pedagog- ical Sciences from the Vinnytsia State Pedagogical Univer- sity named after Mykhailo Kotsiubynsky, Ukraine, in 2013. Since 1999, he has been working in the field of informa- tion technology and vocational education at the Bogdan Khmelnitsky Melitopol state pedagogical university. Now – Head of the Department of Computer Science. His research interests include: computer science, information networks, ICT, programming, software development, information sys- tems, data science. He has published a number of papers in international journals. He is a member of editorial boards of “Ukrainian Journal of Educational Studies and Information Tech- nology” (Ukraine), “Computing Conference” (formerly called “Science and Information (SAI) Conference”) (UK), Intelligent Systems Conference (IntelliSys) (The Netherlands), “International Conference on Higher Education Advances” (Spain), “Transactions of Kremenchuk Mykhailo Ostrohradskyi National University” (Ukraine), “Information Technologies and Learning Tools” (Ukraine), “Scientific papers of Berdyansk State Pedagogical University Series: Pedagogical sciences” (Ukraine). WWW: http://osadchyi.mdpu.org.ua E-mail: poliform55@gmail.com Dr. Liubov Panchenko, Professor at the Department of Sociology, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine Liubov Panchenko was awarded a Candidate of Pedagogi- cal Sciences degree (Dr. phil.) from H. S. Skovoroda Kharkiv National Pedagogical University, Kharkiv, Ukraine, in 1995, and a Doctor of Pedagogical Sciences degree (Dr. habil.) from the Luhansk Taras Shevchenko National University, in 2012. Since 1993, she has been working in the field of information and communication technology in education. Since 2016 she has been a Professor at the Department of Sociology, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”. Her research interests include information and communication technology in education, university’s educational 15 environment, MOOCs, data analysis and multivariate methods in scientific research, digital storytelling, adult education. She has published a number of papers and text books (“Computer data analysis”, “Data analysis practicum”, “Mathematical and statistical methods of sociological information’s analysis”) and is an editorial board member of the Ukrainian journals “Information Technologies and Learning Tools” (associated editor), “e-Environment of Modern University”, and “Humanization of the educational process”. WWW: http://www.sociology.kpi.ua/en/faculty-2 E-mail: lubov.felixovna@gmail.com Dr. Stamatios Papadakis, Postdoc researcher, Depart- ment of Preschool Education, University of Crete, Greece. Stamatios Papadakis has been a postdoctoral researcher in Educational Technology, with emphasis on mobile learn- ing, at the Department of Preschool Education at the Uni- versity of Crete, Greece since 2016. He has worked as an adjunct Lecturer in Education teaching Didactics in Pro- gramming (2017–2018) at the Department of Computer Sci- ences, School of Sciences and Engineering at the University of Crete, Greece. Since 2017 he worked as an adjunct Lec- turer in Education teaching Informatics (2017-2018) at the Department of Preschool Education, School of Education, University of Crete, Greece. His scientific and research interests include the study of mobile learning, especially on the use of smart mobile devices and their accompanying mobile applications (apps) in the use of Preschool and Primary Education, focusing on the development of Computational Thinking and students’ understanding of numbers. Furthermore, he currently investigates how a STEM learning ap- proach influences learning achievement through a context-aware mobile learning environment in the preschool classroom and to explain the effects on preschoolers’ learning outcomes. WWW: https://www.researchgate.net/profile/Stamatios_Papadakis E-mail: stpapadakis@uoc.gr Olga Pinchuk, Deputy Director for Scientific Experimen- tal Work, Leading Researcher, PhD (in Pedagogics), Senior Researcher in the field of information and communication technologies in education. Education: M.P. Drahomanov Kyiv State Pedagogical Institute in specialties of Mathemat- ics, Computer Science and Computer Engineering teacher. Currently the experience in teaching is 25 years. Since 2005 she work in the Institute of Information Technologies and Learning Tools of the NAES of Ukraine. She worked on the implementation of the tasks of the scientific research works “Scientific and methodological foundations use of computer oriented tools in teaching nat- ural and mathematical subjects in profile School”, “Scientific and methodological principles of organization of distance 16 learning environment in secondary schools" ," Methodology of design network resource cen- ters of distance education of secondary schools". “Formation of information and educational environment for learning high school students through technology electronic social networks” (Head of Scientific Research), “System of computer modeling of cognitive tasks for the formation of competencies of students in natural and mathematical subjects”. She have more than 80 published scientific works, the author of collective monographs, manuals. She also obtain the post of co-editors-in-chief of “Information Technologies and Learning Tools “, a peer-reviewed e-journal in educational sphere, publishing full-text articles online with immediate open-access. WWW: http://iitlt.gov.ua/ E-mail: opinchuk@iitlt.gov.ua Dr. Oleg Pursky, Professor of Computer Science and Information Systems, Head of Department of Computer Science and Information Systems, Kyiv National University of Trade and Economics, Kyiv, Ukraine. Oleg Pursky, born in 1967, received a Candidate of Sci- ences in Physics and Mathematics degree (Dr. phil.) from the Institute for Low Temperature Physics and Engineering of the National Academy of Sciences of Ukraine, in 2001, and a Doctor of Sciences in Physics and Mathematics degree (Dr. habil.) from the Taras Shevchenko National University of Kyiv, Ukraine, in 2010. His research interests include informational systems development, computer simulation and modeling of socio-economic systems. He has published a number of papers in international journals, monographs and volumes in book series, is a member of editorial board of International Journal of Economic Theory and Application, reviewer of scientific journals International Journal of Modern Physics (B) and Heat Transfer and certified Data Science&Machine Learning specialist. He is a member of Scientific Council section of Ukrainian Ministry of Education and Science on the specialty “Informatics and Cyber- netics”. Currently, he is working as a Head of Department of Computer Science and Information Systems, Kyiv National University of Trade and Economics. WWW: https://knute.edu.ua/blog/read/?pid=12695&uk E-mail: Pursky_O@ukr.net Dr. Serhiy Semerikov, Professor of Computer Science and Educational technology, Kryvyi Rih State Pedagogical University, Ukraine Serhiy Semerikov is professor of Department of Com- puter Science and Applied Mathematics at Kryvyi Rih State Pedagogical University. He got both PhD and DSc in edu- cation (informatics) from the National Pedagogical Drago- manov University in 2001 and 2009, respectively. The main directions of Dr. Semerikov’ research is methods of learning 17 and educational technology. WWW: https://kdpu.edu.ua/semerikov/ E-mail: semerikov@gmail.com Dr. Yevhenii Shapovalov, Chief specialist in Ministry of Digital Transformation of Ukraine and Researcher in National Center “Junior Academy of Science of Ukraine”. Yevhenii Shapovalov was born in 1992, received Ph.D. in 2020 from the National University of Life and Environmen- tal Sciences of Ukraine in biotechnology. He worked in the field of digitalization of chemistry education in the National Center “Junior Academy of Science of Ukraine” from 2014 to 2020 and then start to work in the Ministry of Digital trans- formation. He has studied the anaerobic digestion of high nitrogen content in biotechnology and modern approaches in the digitalization of education, such as using AR, smart tools, and ontologies to structure education content. He is a board member of NGO “European Studies’ Platform for Sus- tainable Development” and has experience in international educational projects (Erasmus+). WWW: http://www.nas.gov.ua/UA/PersonalSite/Pages/default.aspx?PersonID=0000026333 E-mail: sjb@man.gov.ua, shapovalov@thedigital.gov.ua Dr. Andrii Striuk, Ph.D., Head of Simulation and Soft- ware Engineering department of Kryvyi Rih National Uni- versity, Kryvyi Rih, Ukraine. Andrii Striuk, born in 1979. In 2000 he graduated from the Kryvyi Rih Technical University with a degree in Au- tomated Systems Software. In 2001, he received a master’s degree in computer science. Has been working at the De- partment of Modeling and Software of Kryvyi Rih National University since 2000. Combines educational activities with practical, developing and implementing educational soft- ware products. In 2011 he defended his Ph.D. thesis. From 2014 to 2017 he is studying at the doctoral program in In- stitute of Information Technologies and Learning Tools of the NAES of Ukraine (Kyiv, Ukraine). In 2017, he was awarded the Prize of the President of Ukraine for young scientists. Heads the Simulation and Software Engineering department of Kryvyi Rih National University since 2018. Field of scientific interest: professional training of software engineers, mobile learning technologies, the use of augmented reality technologies in education. WWW: http://mpz.knu.edu.ua/pro-kafedru/vikladachi/224-andrii-striuk E-mail: andrii.striuk@knu.edu.ua 18 Dr. Yurii Tryus, Professor of Applied Mathemat- ics, Department of Computer Science and System Anal- ysis, Cherkasy State Technological University, Cherkasy, Ukraine. Yurii Tryus, born in 1957, received a Candidate of Candi- date Physics and Mathematics Sciences degree (PhD) from the Shevchenko Kyiv State University, in 1987, and a Doctor of Pedagogical Sciences degree (Dr. habil.) from the Na- tional Pedagogical Dragomanov University, in 2005. Since 2012, he is head of the Department of Computer Science and System Analysis, Cherkasy State Technological Univer- sity. His research interests include Theory and Methods of Optimization and Operations Research, Decision Theory, Information and Communication Technologies in Higher Education, Theory and methods of teaching mathematics and computer science. He has published near 230 of papers in Ukrainian and international journals, 10 monographs and manuals, is a member of editorial boards of E-journal “Information Technologies and Learning Tools”, Journal “Information Technologies in Education”, Scientific journal of the National Pedagogical Dragomanov University. Series 2. Computer-based learning systems. WWW: https://knsa.chdtu.edu.ua/tryus-yurii-vasylovych E-mail: tryus@chdtu.edu.ua Dr. Tetiana Vakaliuk, professor, professor of the depart- ment of Software Engineering, Zhytomyr Polytechnic State University, Zhytomyr, Ukraine. Tetiana Vakaliuk, born in 1983, received a Candidate of Pedagogical Sciences degree from the National Pedagogical Dragomanov University, Ukraine, in 2013, and a Doctor of Pedagogical Sciences degree from the Institute of Infor- mation Technologies and Learning Tools of the National Academy of Sciences of Ukraine, in 2019. Since 2019, she has been working in the field of information technologies at the Zhytomyr Polytechnic State University. Her research in- terests include information technologies, ICT in Education, Cloud technologies. She has published a number of papers in international journals, is a member of editorial boards of Information Technologies and Learning Tools, Zhytomyr Ivan Franko State University Journal: Pedagogical Sciences, Collection of Scientific Papers of Uman State Pedagogical University. WWW: https://sites.google.com/view/neota E-mail: tetianavakaliuk@gmail.com 19 Dr. Nataliia Valko, PhD of Physics and Mathematic Sciences, DSc of Educational Sciences, Department of Infor- matics, Software Engineering and Economic Cybernetics, Kherson State University, Kherson, Ukraine. Nataliia Valko, in 2006 earned a PhD degree of Physics and Mathematic Sciences in specialty “Mathematical model- ing and numerical methods”. She has extensive experience in teachers education via modern teaching technologies, blended learning, STEM-education. Her teaching experi- ence in University is over 20 years. She is one of the orga- nizers of the STEM school of KSU. She has management skills in the field of teacher training, planning educational activities, creating distance learning courses on the Moodle platform. She manages students design work to create mod- els of robotic systems. Effectively applies innovative teach- ing methods for future teachers of natural-mathematical disciplines using robotics and their preparation for using STEM-technologies in teaching. She actively studies innovative teaching methods, methods of project activity. She has published a number of papers of different kinds (including books, articles in scientific international journals, conference proceedings etc.), is a member of editorial boards of Journal of Information Technologies in Education (ITE). WWW: http://www.kspu.edu/About/Faculty/FPhysMathemInformatics/ChairInformatics/ Staff/NValko.aspx E-mail: valko@ksu.ks.ua Dr. Vladyslav Velychko, Associate Professor of Meth- ods of Teaching Mathematics and Methods of Teaching Computer Science, Faculty of Physics and Mathematics, Donbas State Pedagogical University, Sloviansk, Ukraine Vladyslav Velychko, born in 1973, received a Candidate of Physical and Mathematical Sciences degree (Dr. phil.) from the Kyiv Taras Shevchenko National University, Ukraine, in 2006, and a Doctor of Pedagogical Sciences degree (Dr. habil.) from the Donbas State Pedagogical University, in 2019. Since 1994, he works in the field of algebra, methods of teaching computer science, the use of information and communication technologies in education at Donbas State Pedagogical University, where he is now head of the de- partment. Research interests – quasi-ideals of semigroups, algorithms on algebraic structures, free software, open elec- tronic educational resources. He has published a number of articles in international journals and made presentations at international conferences and seminars. WWW: https://ddpu.edu.ua/cc/velychko E-mail: vladislavvelichko@gmail.com 20 Nataliia Veretennikova, PhD, candidate of social com- munication, assistant of the Department of Information Sys- tems and Networks, Lviv Polytechnic National University, Lviv, Ukraine. Nataliia Veretennikova, born in 1990, received PhD de- gree from Vernadsky National Library of Ukraine in 2017. She is a winner of the President’s Award for Young Scien- tists in 2019 and a winner of the Regional Prize for Young Scientists and Researchers for Scientific Achievements that Contribute to Social and Economic Transformation in the Region and Affirm the High Authority of Lviv Region Scholars in Ukraine and in the World. Her scientific research relates to the field of electronic science, linguistic support, and social communications. She is an author of a lot of papers in domestic and international journals as well as volumes. She is a member of editorial boards and joins in Programme and Organizing committees of international conferences or workshops. WWW: http://wiki.lp.edu.ua/wiki/%D0%92%D0%B5%D1%80%D0%B5%D1%82%D0%B5%D0% BD%D0%BD%D1%96%D0%BA%D0%BE%D0%B2%D0%B0_%D0%9D%D0%B0%D1%82%D0%B0%D0% BB%D1%96%D1%8F_%D0%92%D1%8F%D1%87%D0%B5%D1%81%D0%BB%D0%B0%D0%B2%D1% 96%D0%B2%D0%BD%D0%B0 E-mail: nataver19@gmail.com Dr. Kateryna Vlasenko, Professor of Maths, Depart- ment of Mathematics, National University of “Kyiv Mohyla Academy”, Kyiv, Ukraine. Kateryna Vlasenko, born in 1966, received a Candidate of Pedagogical Sciences degree (PhD) from the National Ped- agogical Dragomanov University, Ukraine, in 2004, and a Doctor of Pedagogical Sciences degree (D.Sc. in Educational Science) from the Bohdan Khmelnytsky National University of Cherkasy, in 2011. Since 2008, she has been working in the field of mathematical and pedagogical modeling at Donbas State Engineering Academy. Her research inter- ests include the issues of mathematics education. She has published a number of papers in international journals and volumes in book series, is a member of editorial boards of Innovative Solutions in Modern Science, Topical Issues of Natural and Mathematical Education Sumy State Pedagog- ical University named after A. Makarenko. WWW: http://formathematics.com/tutors/kateryna-vlasenko/ E-mail: vlasenkokv@ukr.net 21 Dr. Yuliia Yechkalo, Associate professor, Department of Physics, Kryvyi Rih National University, Kryvyi Rih, Ukraine. Yuliia Yechkalo, born in 1981, received a Candidate of Pedagogical Sciences degree from the Kirovograd State Vladimira Vinnichenka Pedagogical University, Ukraine, in 2013. Since 2005, she has been working at the National Metallurgical Academy of Ukraine. She has been working at the Kryvyi Rih National University since 2012. Her re- search interests include theory and methods of education (physics) and information and communication technologies in education. E-mail: uliaechk@gmail.com 2. Articles overview 2.1. Session 1: Digital Transformation of Education and Smart Campus Technologies Andrey V. Pikilnyak, Nadia M. Stetsenko, Volodymyr P. Stetsenko, Tetiana V. Bondarenko and Halyna V. Tkachuk (figure 2) in the article “Comparative analysis of online dictionaries in the context of the digital transformation of education” [4] highlights further research by the authors, begun in [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]. This article is devoted to a comparative analysis of popular online dictionaries and an overview of the main tools of these resources to study a language. The use of dictionaries in learning a foreign language is an important step to understanding the language. The effectiveness of this process increases with the use of online dictionaries, which have a lot of tools for improving the educational process. Based on the Alexa Internet resource it was found the most popular online dictionaries: Cambridge Dictionary, Wordreference, Merriam–Webster, Wiktionary, TheFreeDictionary, Dictionary.com, Glosbe, Collins Dictionary, Longman Dictionary, Oxford Dictionary. As a result of the deep analysis of these online dictionaries, authors found out they have the next standard functions like the word explanations, transcription, audio pronounce, semantic connections, and examples of use. In propose dictionaries, authors also found out the additional tools of learning foreign languages (mostly English) that can be effective. In general, authors described sixteen functions of the online platforms for learning that can be useful in learning a foreign language. Authors have compiled a comparison table based on the next functions: machine translation, multilingualism, a video of pronunciation, an image of a word, discussion, collaborative edit, the rank of words, hints, learning tools, thesaurus, paid services, sharing content, hyperlinks in a definition, registration, lists of words, mobile version, etc. Based on the additional tools of online dictionaries authors created a diagram that shows the functionality of analyzed platforms. Roman A. Tarasenko, Viktor B. Shapovalov, Stanislav A. Usenko (figure 3), Yevhenii B. Shapovalov, Iryna M. Savchenko, Yevhen Yu. Pashchenko and Adrian Paschke in the article “Comparison of ontology with non-ontology tools for educational research” [18] described the 22 Figure 2: Presentation of paper [4]. usage of cognitive IT-platform Polyhedron to collect both existing informational ontology-based tools, and specially designed to complement a full-stack of instruments for digital support for scientific research. This article highlights further research by the authors, begun in [19, 20, 21, 22]. The article “A semantic structuring of educational research using ontologies” [23] by Yevhenii B. Shapovalov (figure 4), Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko and Adrian Paschke is devoted to the presentation of the semantic interoperability of research and scientific results through an ontological taxonomy. To achieve this, the principles of systematization and structuration of the scientific/research results in scientometrics databases have been analysed. Authors use the existing cognitive IT platform Polyhedron and extend it with an ontology-based information model as main contribution. As a proof-of-concept we have modelled two ontological graphs, “Development of a rational way for utilization of methane tank waste at LLC Vasylkivska poultry farm” and “Development a method for utilization of methane tank effluent”. Also, for a demonstration of the perspective of ontological systems for a systematization of research and scientific results, the “Hypothesis test system” ontological graph has created. The article “Applying digital technologies for work management of young scientists’ coun- cils” [24] by Anna V. Iatsyshyn (figure 5), Iryna H. Hubeladze, Valeriia O. Kovach, Valentyna V. Kovalenko, Volodymyr O. Artemchuk, Maryna S. Dvornyk, Oleksandr O. Popov, Andrii V. Iatsyshyn and Arnold E. Kiv explores the features of the digital technologies’ usage to organize the work of the Young Scientists’ Councils and describes the best practices. The digital trans- formation of society and the quarantine restrictions caused by the COVID-19 pandemic have forced the use of various digital technologies for scientific communication, the organization 23 Figure 3: Presentation of paper [18]. Figure 4: Presentation of paper [23]. of work for youth associations, and the training of students and Ph.D. students. An important role in increasing the prestige of scientific activity and encouraging talented young people to participate in scientific projects belongs to the Young Scientists’ Councils, which are created at scientific institutions and higher education institutions. It is determined that the peculiarities of the work of Young Scientists’ Councils are in providing conditions for further staff development 24 of the institution in which they operate; contribution to the social, psychological and material support of young scientists and Ph.D. students; creating an environment for teamwork and collaborative partnership; development of leadership and organizational qualities; contribution to the development of digital competence. The advantages of using electronic social networks in higher education and research institutions are analyzed, namely: general popularity and free of charge; prompt exchange of messages and multimedia data; user-friendly interface; availability of event planning functions, sending invitations, setting reminders; support of synchronous and asynchronous communication between network participants; possibility of access from various devices; a powerful tool for organizing the learning process; possibility of organization and work of closed and open groups; advertising of various events, etc. Pe- culiarities of managing the activity of the Young Scientists’ Council with the use of digital technologies are determined. The Young Scientists’ Council is a social system, and therefore the management of this system refers to social management. The effectiveness of the digital technologies’ usage to manage the activities of the Young Scientists’ Council depends on the intensity and need for their use to implement organizational, presentation functions and to ensure constant communication. The areas to apply digital technologies for the work managing of Young Scientists’ Councils are sorted as the presentation of activity; distribution of various information for young scientists; conducting questionnaires, surveys; organization and holding of scientific mass events; managing of thematic workgroups, holding of work meetings. It is generalized and described the experience of electronic social networks usage for organizing and conducting of scientific mass events. This article highlights further research by the authors, begun in [25, 26, 27, 28, 29, 30, 31, 32, 33, 34]. Figure 5: Presentation of paper [24]. The article “The use of cloud computing technology in professional training of future pro- 25 grammers” [35] by Kateryna P. Osadcha and Viacheslav V. Osadchyi (figure 6) provides a brief analysis of the current state of the study of cloud technologies by future software engineers at foreign and Ukrainian universities. The authors’ experience in the application of cloud tech- nologies in the training of future software engineers in Ukraine is presented. The application of cloud business automation systems, online services to monitor the implementation of the software projects, Google services for collaboration, planning and productivity while studying professional disciplines and carrying out diploma projects is described. Based on the survey conducted at Stackoverflow, the state of application of cloud technologies by software engineers around the world has been analyzed. The cloud technologies that are not studied at the analyzed universities of Ukraine and those that are not popular with software developers in the world, but studied at Ukrainian universities by future software engineers are outlined. Conclusions are made on the modernization of training programs for future software engineers. Topics for the study of cloud technologies by future software engineers in the content of professional disciplines are proposed. The article highlights further research by the authors, begun in [36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58]. Figure 6: Presentation of paper [35]. The article “Some experience in maintenance of an academic cloud” [59] by Vasyl P. Oleksiuk (figure 7), Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk and Yaroslav P. Vasylenko is devoted to the systematization of experience in the deployment, maintenance and servicing of the private academic cloud. The article contains model of the authors’ cloud infrastructure. It was developed at Ternopil Volodymyr Hnatiuk National Pedagogical University (Ukraine) on the basis of the Apache CloudStack platform. The authors identify the main tasks for maintaining a private academic cloud. Here they are making changes to the cloud infrastructure; maintenance of virtual machines (VM) to determine the performance and migration of VM instances; work 26 with VMs; backup of all cloud infrastructure. The analysis of productivity and providing students with computing resources is carried out. The main types of VM used in training are given. The number and characteristics of VM that can be served by a private academic cloud are calculated. Approaches and schemes for performing backup are analysed. Some theoretical and practical experience of using cloud services to perform backup has been studied. Several scripts have been developed for archiving the platform database and its repositories. They allow you to upload backups to the Google Drive cloud service. The performance of these scripts for the author’s deployment of private cloud infrastructure was evaluated. The article highlights further research by the authors, begun in [60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]. Figure 7: Presentation of paper [59]. The article “Digitalization of the educational process for the training of the pre-service teachers” [76] by Oksana V. Strutynska, Grygoriy M. Torbin, Mariia A. Umryk (figure 8) and Roman M. Vernydub considers the process of transition from informatization to digitalization in society, implementation of digital support for the educational process in the university, development of the digital educational environment for the training university teachers, and proposes the digital tools for such an environment. The authors propose several ways to improve the development level of digitalization of the educational environment in the university. This is to take into account the needs of the digital society and the modern generation of students, provide a high level of the digital literacy formation of university graduates and support the development of a new digital security system of the modern university. Aiming to design the digital educational environment for increasing the of educators’ digital literacy level, the authors propose to develop and implement the following computer, multimedia and computer-based learning tools and equipment, which includes blended and distance learning classes, cloud technologies, tools of virtual and augmented reality, tools for gamification of the educational process, educational robotics, tools for learning 3D technologies, MOOCs. The article highlights further research by the authors, begun in [77]. 27 Figure 8: Presentation of paper [76]. The article “Ways to design a digital educational environment for K-12 education” [78] by Natalia V. Morze and Viktoriia O. Kucherovska (figure 9) is devoted to the description of the concept, components and ways of designing the digital educational environment of a K-12 education institution through the transformation of educational activities. The importance of developing an educational policy of an educational institution in the field of digital technology is described. Authors present the model and the ways of designing the digital educational environment of the K-12 education institution. The necessity of self-assessment of digital technologies usage in the educational process by all its participants is substantiated; the ways of application of the European tool SELFIE for carrying out such self-analysis are described. Based on the adaptation of all components of the tool SELFIE for Ukrainian education, the results of its usage at one of the secondary schools in Kyiv are presented. This article highlights further research by the authors, begun in [79, 80, 81, 82, 83]. 2.2. Session 2: Mobile Learning The article “Integration of chatbots into the system of professional training of Masters” [84] by Tetiana V. Shabelnyk, Serhii V. Krivenko, Nataliia Yu. Rotanova, Oksana F. Diachenko (fig- ure 10), Iryna B. Tymofieieva and Arnold E. Kiv presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of imple- menting the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment 28 Figure 9: Presentation of paper [78]. analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to sys- tematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organiza- tion of high-quality training. This article highlights further research by the authors, begun in [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]. The article “Features of design of digital aids for training students with autistic disorders” [101] by Liudmyla I. Bilousova, Liudmyla E. Gryzun (figure 11) and Nataliia P. Volkova highlights further research by the authors, begun in [102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114]. In accordance with the aims of the paper, it is covered essential peculiarities of the design of digital aids for ASD-students. They are distinguished coming from the analysis of common learning and social difficulties inherent to the trainees with autistic disorders; needs for their speaking habits development; advantages of special digital support in terms of facilitating ASD- 29 Figure 10: Presentation of paper [84]. students’ training. The distinguished features essential in the process of the digital aids design are demonstrated on the example of the development of an e-simulator for young ASD-students’ speech encouragement. The main stages of its design and functionality are characterised. It is emphasised in conclusion that the developed digital simulator due to its functionality helps to overcome a number of problems faced by young ASD-students. 2.3. Session 3: Blended Learning The article “Implementation of future agricultural engineers’ training technology in the informa- tional and educational environment” [115] by Aleksandr D. Uchitel, Ilona V. Batsurovska, Nataliia A. Dotsenko (figure 12), Olena A. Gorbenko and Nataliia I. Kim highlights further research by the authors, begun in [116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], and presents the implementation of future agricultural engineers’ training technology in the infor- mational and educational environment. To train future agricultural engineers, it is advisable to form tutorials for the study of each discipline in the conditions of informational and educational environment. Such tutorials are an assistance in mastering both theoretical material and course navigation, where interactive electronic learning tools are presented to perform tasks in the informational and educational environment. Higher education applicants perform such tasks directly in the classroom with the help of gadgets or personal computers. The final grade is formed from the scores obtained in the classroom and the rating of higher education applicants while studying in the informational and educational environment. The outlined approach is able to help in the quality of learning content. The use of interactive audiovisual online tools 30 Figure 11: Presentation of paper [101]. allows to get acquainted with the theoretical, practical and experimental provisions clearly, it is important for the training of future agricultural engineers. At the end of the experiment, it can be argued that the developed technology increases the level of motivation and self-incentive to work in the informational and educational environment. The application of the presented technology provides an opportunity to combine the educational process in the classroom with learning in the informational and educational environment, forms analytical abilities and com- petencies in professional activity. The reliability of the obtained results was checked using the 𝜆 Kolmogorov-Smirnov criterion. It is determined that when using this technology in the educational process, the indicators in the experimental group increased, which displays the effectiveness of training bachelors in agricultural engineering in the conditions of informational and educational environment. The article “Blended learning in the context of digitalization” [131] by Tatyana B. Bykova (figure 13), Mykola V. Ivashchenko, Darja A. Kassim and Vasyl I. Kovalchuk highlights further research by the authors, begun in [132, 133, 134, 135, 136]. The realities of digitalization require changes in strategies for choosing educational technologies. The modern educational process is not possible without the use of digital technologies. Digital technologies have led to the arising and development of blended learning. However, its effectiveness is determined not only by technology. The human factor receives special attention in this direction. Analysis of the World Development Report 2016: Digital Dividends allows us to identify digital competence as a necessary condition for the successful use of digital technologies, and hence blended learning. Learning interactions designing in the process of implementing blended learning requires timely diagnosis of the level of digital competence. A popular tool for this is the Digital Competence 31 Figure 12: Presentation of paper [115]. Framework for Citizens. To clarify the peculiarities of its use was made an analysis of the experimental implementation results of blended learning in the industrial training in sewing for intended masters. During the research, it was revealed that the most important digital competence areas for the variable learning establishment in the training of future professionals are Information and data literacy, Communication and collaboration and Problem solving. In addition, competence for area Problem solving conduce to increase the level of competence for all other areas. The level of digital competence of the subjects mainly coincide to the characteristics of basic and secondary levels. The obtained data clarified the reasons for the difficulties, decrease motivation and cognitive activity that occur among students using distance courses-resources learning designed for blended learning. Thus, the use of the Digital Competence Framework for Citizens at the initial stage of implementing blended learning can make a rational choice of strategies for combining face-to-face and distance learning technologies. The article “Strengthening of e-learning at the leading Ukrainian pedagogical universities in the time of COVID-19 pandemic” [137] by Halina I. Falfushynska (figure 14), Bogdan B. Buyak, Hryhorii V. Tereshchuk, Grygoriy M. Torbin and Mykhailo M. Kasianchuk highlights further research by the authors, begun in [138, 139]. Distance education has become the mandatory component of higher education establishments all over the world including Ukraine regarding COVID-19 lockdown and intentions of Universities to render valuable knowledge and provide safe educational experience for students. The present study aimed to explore the student’s and academic staff’s attitude towards e-learning and the most complicated challenges regarding online learning and distance education. Authors findings disclosed that the online learning using Zoom, Moodle, Google Meet, BigBlueButton and Cisco has become quite popular among the students and academic staff in Ukraine in time of the lockdown period and beyond. Based on 32 Figure 13: Presentation of paper [131]. the Principal Component Analysis data processing we can conclude that students’ satisfaction and positive e-learning perception are in a good correlation with quality of e-learning resources and set of apps which are used while e-learning and distance education. Also, education style, methods, and manner predict willingness of students to self-study. The self-motivation, time- management, lack of practice, digital alienation, positive attitude towards ICT, and instruction strategy belong to the most important challenges of COVID-19 lockdown based on the students and academic staff interviews. Online learning on daily purpose should be used in the favor of strengthening of classical higher education rather than replacing the former. Blended education is the best alternative to face-to-face education, because the communication with mentor in a live environmental even virtual should have ushered the learners to complete online learning and improve its results. The article “Operation system features and cloud services for lecturer work” [140] by Lesya V. Bulatetska (figure 15), Vitaliy V. Bulatetskyi, Tetyana O. Hryshanovych, Yulia S. Pavlenko, Tetyana I. Cheprasova and Andrey V. Pikilnyak proposes a conception of setup and use of teacher’s or lecturer’s workspace using common software and hardware products. The research object is a system built by using operating system capabilities in conjunction with office suite and public cloud service, as a foundation for teacher’s digital workspace. Research is made on how to set up, scale, and operate such a system, by studying the experience of national and foreign scientists and teachers, and using our own experience in educational processes, and working with operating systems and cloud services. As a result, we got a system which is easy to set up, learn, and apply by teachers without significant experience working remote education systems, and could be used for initial learning of remote education principles. It could be used as an initial step before migrating to specialized remote education systems. In the future, the system itself could be improved by adding additional objects into the system and a 33 Figure 14: Presentation of paper [137]. higher integration level between objects and external subjects. Online Faculty Development Programs/Webinars are the two buzzing words, which have become viral next to corona among the teaching fraternity during the lockdown period of pandemic situation caused by COVID-19. The article “Research on efficacy of webinars organized for faculty during lockdown of COVID-19” [141] by Krishna Chythanya Nagaraju (figure 16), Karanam Madhavi and Jandhyala N. Murthy intends to throw light on, the reason for the outbreak of FDPs/Webinars, their efficiency and the attitude of the participating faculty during the lockdown period from 16th March to 15th June 20. Information is gathered through an online survey having 31 research questions answered by 683 participants across India. The new found tool of online teaching has become the accepted norm and the urge to lead the bandwagon by each and every stakeholder in the education sector resulted in a sudden spurt of webinars and FDPs in such a short period. Study observed that global reach at no cost plus freedom of working from home spurred many faculty to experiment this mode and 40% from them have been found to be juggling with many courses simultaneously for certificate sake only, 45.1% attended on mandatory instructions and 38% have not even initiated the work. Quizzes and Polls during sessions besides assignments were found to be suitable active learning mechanisms to improve the efficacy of the online knowledge transfer methods. The article “Cloud resources use for students’ project activities” [142] by Nataliia V. Valko (figure 17) and Viacheslav V. Osadchyi and Vladyslav S. Kruhlyk highlights further research by the authors, begun in [143, 144, 145, 146]. The modern educational system proclaims learning aimed at acquiring practical skills and based on the activity approach. Educational research projects are the necessary component of curricula in physics, computer science, 34 Figure 15: Presentation of paper [140]. biology and chemistry. There is a problem of specialized equipment and facilities using for the implementation of such projects in distance learning. Therefore, the issue of cloud resources using for distance learning organization in robotics is relevant. The article presents a brief overview of the current state of projects development in Ukrainian schools and approaches used in foreign educational institutions in teaching robotics distantly. The article describes the stages of robotics projects development such as organizational, communicative, project work, summarizing. The peculiarities of the stages in distance learning and the possibilities of cloud technologies in robotics are also considered. The authors’ experience in projects developing in this environment for students and future teachers is described. The training of pre-service mathematics teachers is a complex process due to the specifics of the field. Informatization of education affects all the areas, and pre-service mathematics teachers can not be left out. The article “The support of the process of training pre-service mathematics teachers by means of cloud services” [147] by Vladyslav Ye. Velychko and Elena H. Fedorenko and Nataliia V. Kaidan (figure 18), Vladimir N. Soloviev and Olga V. Bondarenko is devoted to the problem of supporting the process of professional training of pre-service mathematics teachers by means of cloud services. Examples of the use of cloud technologies are given. The analysis of a survey of pre-service mathematics teachers on the use of information and communication technologies in the training process is done. This article highlights further research by the authors, begun in [148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 35 Figure 16: Presentation of paper [141]. 161, 162, 163, 164, 165]. 2.4. Session 4: Competency-Based Education Platforms The matter of building an optimal model of managing the online platform “Higher School Mathematics Teacher” is considered in the article “Management of online platform development and support process” by Kateryna V. Vlasenko, Sergii V. Volkov (figure 19), Iryna V. Lovianova, Olena O. Chumak, Irina V. Sitak and Dmytro Ye. Bobyliev [166]. This article highlights further research by the authors, begun in [167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178]. The existing researches on the management of online platform development and support process have been analyzed in this paper. The model developers described the process of building an online platform according to the Software Development Lifecycle rules. The researchers described an online course platform creation and functioning process that corresponds to a five-stage pedagogical ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) of online course preparation. The research describes the roles and objectives of online platform team members. These results allowed the authors of the article to model the organizational structure of online platform management. The method of survey among the team members of the online platform “Higher School Mathematics Teacher” and its participants was 36 Figure 17: Presentation of paper [142]. Figure 18: Presentation of paper [147]. used to prove the efficiency of the offered model. The results allowed us to confirm the actuality of the research in the management of educational platforms, the convenience of teamwork in online platform management, and successful model implementation. Researches and publications on using Google Classroom web service for lecturers of higher educational establishments under pandemic conditions are analysed in the article “The potential of Google Classroom web service for lecturers of higher educational establishments under pandemic conditions” [179] by Leila Yu. Sultanova, Oksana P. Tsiuniak, Liudmyla O. Milto, Maryna O. Zheludenko (figure 20), Lyudmyla M. Lyktei, Larisa M. Petrenko and Aleksandr D. Uchitel. The current state of higher education under pandemic conditions is characterised. Features of Google Classroom web service have been identified. The methodical development 37 Figure 19: Presentation of paper [166]. for lecturers of higher educational establishments “Potential of using Google Classroom web service” is described. Criteria and levels of using Google Classroom web service are defined. Initial diagnostic of the levels of using Google Classroom web service was conducted. During the diagnostic was revealed that most respondents have insufficient levels of theoretical knowledge and practical skills. In order to increase the level of using Google Classroom web service, the methodological development was implemented. As a result, positive dynamics in the levels of theoretical knowledge and practical skills of using Google Classroom web service was revealed. The effectiveness of the obtained results was confirmed by Fisher’s criterion. This article highlights further research by the authors, begun in [180, 181]. Figure 20: Presentation of paper [179]. The article “Formation of informational and digital competence of secondary school students in laboratory work in physics” [182] by Oleksandr O. Martyniuk (figure 21), Oleksandr S. Martyniuk and Ivan O. Muzyka deals with the formation of informational and digital competence 38 of high school students. First and foremost, the existing digitalization strategies for society already approved in the world and in Ukraine, including the implementation of STEM education and the Digital Agenda, are considered. On the other hand, attention is paid to the inconsistency of the level of ownership and frequency of use of digital technologies with the requirements of these initiatives. The concept of informational and digital competence is analyzed in detail. Existing publications identify key components, skills and competencies required to achieve this competence. A survey is conducted to better understand the current situation. One of the tasks is to determine the level of use of digital information in the classroom by teachers and in students’ preparation at home. The second task was to show how developing students’ informational and digital competence can be done by active introduction of existing software and hardware in the educational process in physics, in particular, a laboratory workshop. The example of laboratory work carried out in educational institutions shows how modern software can be used to analyze the movement of bodies and determine the physical characteristics of this movement. The concrete ways of performing laboratory work, analyzing its results and drawing conclusions are given. It is in the combination of existing teaching practices with modern gadgets, specialized and general programs that the basic way of forming informational and digital competence is seen. Further ways of modernization and improvement of described methods for increasing the level of information and digital competence are proposed. This article highlights further research by the authors, begun in [183, 184, 185, 186, 187]. Figure 21: Presentation of paper [182]. 2.5. Session 5: Adaptive Cloud Learning Platforms The article “The selection of cloud services for ER-diagrams construction in IT specialists databases teaching” [188] by Tetiana A. Vakaliuk (figure 22), Olha V. Korotun and Serhiy O. 39 Semerikov highlights further research by the authors, begun in [189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211]. One of the main aspects of studying databases in higher education institutions by future IT specialists is database design and software product development. This, in turn, is the most important problem of the developer’s interaction with the customer. To facilitate the process of database design, ER-diagrams are used, which are based on the concepts of “Entity” and “Relationship”. An ER diagram allows you to present a database in the form of visual graphical objects that define a specific subject area. The article considers the available cloud services for the construction of ER-diagrams for learning databases of future IT specialists and their selection the method expert evaluation. For this purpose, the criteria and indicators for the selection of cloud services for the construction of ER-diagrams of databases by future information technology specialists have been determined. As a result, it was found that the cloud services Dbdesigner.net and Lucidchart are the most convenient to learn. It is determined that for a teacher of a higher education institution the use of cloud services is an opportunity to use licensed software in education without additional costs. Figure 22: Presentation of paper [188]. The article “Approaches to the choice of tools for adaptive learning based on highlighted selection criteria” [212] by Yaroslava B. Sikora (figure 23), Olena Yu. Usata, Oleksandr O. Mosiiuk, Dmytrii S. Verbivskyi and Ekaterina O. Shmeltser substantiates the relevance of adaptive learning of students in the modern information society, reveals the essence of such concepts as “adaptability” and “adaptive learning system”. It is determined that a necessary condition for adaptive education is the criterion of an adaptive learning environment that provides opportunities for advanced education, development of key competencies, formation of a flexible personality that is able to respond to different changes, effectively solve different 40 problems and achieve results. The authors focus on the technical aspect of adaptive learning. Different classifications of adaptability are analyzed. The approach to the choice of adaptive learning tools based on the characteristics of the product quality model stated by the standard ISO / IEC 25010 is described. The following criteria for the selecting adaptive learning tools are functional compliance, compatibility, practicality, and support. By means of expert assessment method there were identified and selected the most important tools of adaptive learning, namely: Acrobatiq, Fishtree, Knewton (now Wiliy), Lumen, Realize it, Smart Sparrow (now Pearson). Comparative tables for each of the selected tools of adaptive learning according to the indicators of certain criteria are given. This article highlights further research by the authors, begun in [213, 214, 215, 216, 217, 218, 219]. Figure 23: Presentation of paper [212]. The article “Computerized adaptive testing in educational electronic environment of maritime higher education institutions” [220] by Olena S. Diahyleva, Igor V. Gritsuk, Olena Y. Kononova and Alona Y. Yurzhenko (figure 24) is devoted to the organization of modern learning process, namely the use of innovative technologies – computerized adaptive testing in educational electronic environment of maritime higher education institutions. This article highlights further research by the authors, begun in [221]. The example of educational electronic environment is presented in the article on LMS Moodle. The provided new technological and methodological opportunities are a priority in the developed methods of control and testing of knowledge, skills and abilities of students. Comparative characteristic of using computerized adaptive testing in educational electronic environment is given in the article according to different criteria: the role of tests in the learning process; methods of training; equipment; presence of the problems in educational process; level of its control and learning outcomes. The paper also presents examples of activities to form communicative competency of future maritime professionals. Types of adaptive tests are listed in the paper. The research activities were done by second year cadets of ship engineering department of Maritime College of Kherson State Maritime Academy. The experiment was devoted to the formation of communicative competence with the help of 41 electronic environment of maritime higher education institution. The results of experiment proved positive impact of computerized adaptive testing on communicative competence of future ship engineers. Further investigation of adaptive testing can also be done for learning system of maritime education establishments using simulation technologies of virtual, augmented and mixed realities. Figure 24: Presentation of paper [220]. The ways of providing comprehensive efficiency increase in communication facilities of the academic space are given by Tetyana V. Neroda, Lidia V. Slipchyshyn (figure 25) and Ivan O. Muzyka in the article “Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform” [222] with regard to stipulated methods of managing distributed network resources. Selected the user interfaces types are distinguished according to user actions in the studied subject area, which made it possible to justify and hierarchically organize the categories of adaptive toolkit of the branch-oriented workshop environment by the classes of components declared in the project, which are closely related to the scheme of learning experiment and are basic means for simulating transients. The analytical models of classes of components of the virtual laboratory stand are compiled, the elements of which represent the properties and methods for visualization and further processing of interacting instances of the basic locations of the subject area, while ensuring system stability and controllability by clear distribution of functionality. Finally, the unification of component set template properties of the subject area is implemented, which greatly extending the targeted destination of virtual platform and increasing number of educational disciplines of academic course covered by the designed media resource. The results of the pedagogical verification showed an increase in the students’ performance in mastering the subject area by means of presented branch-oriented workshop environment. 2.6. Session 6: Cloud-based AI Education Applications Rasmus Munk (figure 26), David Marchant and Brian Vinter in the paper “Cloud enabling edu- cational platforms with corc” [223] is shown how teaching platforms at educational institutions can utilize cloud platforms to scale a particular service, or gain access to compute instances 42 Figure 25: Presentation of paper [222]. with accelerator capability such as GPUs. Specifically at the University of Copenhagen (UCPH), it is demonstrated how the internal JupyterHub service, named Data Analysis Gateway (DAG), could utilize compute resources in the Oracle Cloud Infrastructure (OCI). This is achieved by utilizing the introduced Cloud Orchestrator (corc) framework, in conjunction with the novel JupyterHub spawner named MultipleSpawner. Through this combination, we are able to dy- namically orchestrate, authenticate, configure, and access interactive Jupyter Notebooks in the OCI with user defined hardware capabilities. These capabilities include settings such as the minimum amount of CPU cores, memory and GPUs the particular orchestrated resources must have. This enables teachers and students at educational institutions such as UCPH to gain easy access to the required capabilities for a particular course. In addition, we lay out how this groundwork, will enable us to establish a Grid of Clouds between multiple trusted institutions. This enables the exchange of surplus computational resources that could be employed across their organisational boundaries. The article “Methodology of formation of modeling skills based on a constructive approach (on the example of GeoGebra)” [224] by Marina G. Drushlyak (figure 27), Olena V. Semenikhina, Volodymyr V. Proshkin, Serhii Ya. Kharchenko and Tetyana D. Lukashova highlights further research by the authors, begun in [225, 226, 227, 228, 229, 230, 231]. Author’s methodology of forming modeling skills involves 4 steps: Step 1 – the teacher step by step constructs the curve by means of cloud based service GeoGebra; Step 2 – the teacher offers a description- definition of the curve and provides a ready-made algorithm by which students model the curve independently in GeoGebra; Step 3 – the teacher offers an algorithm for constructing a curve model, and students need to characterize the properties of the curve or give its definition based on the results, Step 4 – students are offered definitions of curves that they have to model in 43 Figure 26: Presentation of paper [223]. GeoGebra). An example of realization of the author’s methodology is given, the pedagogical experiment on proof of its effectiveness is described. 2.7. Session 7: Educational Data Mining and Social Analytics in Education The article “The learning process simulation based on differential equations of fractional orders” [232] by Oleksii P. Chornyi, Larysa V. Herasymenko and Victor V. Busher (figure 28) is an integrated study conducted to develop a learning model which would make it possible to identify the students’ changes of knowledge, abilities and skills acquisition over time as well as the formation of special features of their individual background. Authors have justified the application of the cybernetic model based on fractional equations for the description and evaluation of the student’s learning process. Learning is dealt as a transformation of young people’s knowledge, abilities and skills into a complex background, which envisages its implementation in the future professional activity. The advantage of the suggested model is better approximation characteristics which allow the consideration of a wide range of factors affecting the learning process including the youth’s neurodynamic and psychological nature. The research has employed both mathematical modeling methods and psychodiagnostic techniques (surveys, questionnaires). As a result of the findings, students who assimilate the content of teaching information and form personal experience in different ways have compiled different groups; the learning curve constructed on the basis of the heterogeneous differential equation of second order with integer powers has been compared with the set of models with equations of fractional order of aperiodic and fractional power components. The prospect of the issue to explore is the improvement of the suggested model considering special characteristics of 44 Figure 27: Presentation of paper [224]. cognitive processes aimed at the formation of an individual path of the student’s learning. author=, title=, The article “Cloud technologies and learning analytics: web application for PISA results analysis and visualization” [233] by Mariia S. Mazorchuk (figure 29), Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska and Oleksandr V. Prokhorov analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian localization and provides Ukrainian researchers with rapid access to well-structured PISA data. In particular, such an application should provide for data across the factorial features and indicators applied at the country level and demonstrate the Ukrainian indicators compared to the other countries’ results. This paper includes a description of the application core functionalities, architecture, and technologies used for development. The proposed solution leverages the shiny package available with R environment that allows implementing both the UI and server sides of the application. The technical implementation is a proven solution that allows for simplifying the access to PISA data for Ukrainian researchers and helping them utilize the calculation results on the key features without having to apply tools for processing statistical data. This article highlights further research by the authors, begun in [234, 235, 236]. In order for the learning process to always retain personal value for the learner, it is necessary that his or her motivation be maintained through an awareness of his or her purpose and goals. 45 Figure 28: Presentation of paper [232]. The article “Computer simulation of processes that influence adolescent learning motivation” [237] by Larysa O. Kondratenko, Hanna T. Samoylenko, Arnold E. Kiv, Anna V. Selivanova (figure 30), Oleg I. Pursky, Tetyana O. Filimonova and Iryna O. Buchatska presents a local model (at the individual object level) of enhancing external motivation, which give to determine students’ efforts to get rewards. The concept of this model based on describing the behavior of agents (in our case students). The characteristics of the phenomenon in the motivation of learning at different stages of adolescent development are analyzed. The problem of computer modeling of educational processes with the help of agent modeling on the example of studying student motivation is considered. Internal and external factors that may strengthen or weaken the adolescent’s motivation to study have been studied. The expediency of using information technologies of agent modeling to study the dynamics of strengthening or weakening student motivation is substantiated. Using the AnyLogic Cloud computing environment the change of dynamics of strengthening of motivation of teenagers on an example of model of strengthening of external motivation is defined. This article highlights further research by the authors, begun in [238, 239, 240, 241]. The article “Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic” [242] by Ivan M. Tsidylo (figure 31) and Serhiy O. Semerikov and Tetiana I. Gargula and Hanna V. Solonetska and Yaroslav P. Zamora and Andrey V. Pikilnyak highlights further research by the authors, begun in [243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268]. This article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of 46 Figure 29: Presentation of paper [233]. existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest to the natural language. This closeness allows for closer interaction with a subject area expert and build well-understood, easily interpreted inference systems. The structure of a fuzzy system, functions and mechanisms of model building are described. The system is presented in the form of a block diagram of fuzzy logical nodes and consists of four input variables, corresponding to the levels of knowledge assimilation and one initial one. The surface of the response of a fuzzy system reflects the dependence of the final grade on the level of difficulty of the task and the degree of correctness of the task. The structure and functions of the fuzzy system are indicated. The modeled in this way intelligent system for assessing multilevel test tasks based on fuzzy logic makes it possible to take into account the fuzzy characteristics of the test: the level of difficulty of the task, which can be assessed as “easy”, “average", “above average”, “difficult”; the degree of correctness of the task, which can be assessed as “correct”, “partially correct”, “rather correct”, “incorrect”; time allotted for the execution of a test task or test, which can be assessed as “short”, “medium”, “long”, “very long”; the percentage of correctly completed tasks, which can be assessed as “small”, “medium”, “large”, “very large”; the final mark for the test, which can be assessed as “poor”, “satisfactory”, “good”, “excellent”, which 47 Figure 30: Presentation of paper [237]. are included in the assessment. This approach ensures the maximum consideration of answers to questions of all levels of complexity by formulating a base of inference rules and selection of weighting coefficients when deriving the final estimate. The robustness of the system is achieved by using Gaussian membership functions. The testing of the controller on the test sample brings the functional suitability of the developed model. Figure 31: Presentation of paper [242]. 48 The article “Peculiarities of cloud computing use in the process of the first-year students’ adaptive potential development” [269] by Hanna B. Varina (figure 32), Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko and Svitlana H. Lytvynova highlights further research by the authors, begun in [270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281]. Technologies based on cloud computing is one of the demanded and actively developing areas of the modern information world. Cloud computing refers to an innovative technology that allows you to combine IT resources of various hardware platforms into a single whole and provide the user with access to them via a local network or the global Internet. Cloud services from various providers offer users access to their resources via the Internet via free or shareware cloud applications, the hardware and software requirements of which do not imply that the user has high-performance and resource-consuming computers. Cloud technologies represent a new way of organizing the educational process and offers an alternative to traditional methods of organizing the educational process, creates an opportunity for personal learning, collective teaching, interactive classes, and the organization of psychological support. The scientific article is devoted to the problem of integrating cloud technologies not only in the process of training highly qualified specialists, but also in the formation of professionally important personality traits. The article describes the experience of introducing cloud technologies into the process of forming the adaptive potential of students in conditions of social constraints caused by the COVID-19 pandemic. Figure 32: Presentation of paper [269]. 49 3. Conclusion 8th Workshop on Cloud Technologies in Education (CTE 2020) was organized by Kryvyi Rih National University (with support of the rector Mykola I. Stupnik) in collaboration with Kryvyi Rih State Pedagogical University (with support of the rector Yaroslav V. Shramko), Institute of Information Technologies and Learning Tools of the NAES of Ukraine (with support of the director Valeriy Yu. Bykov) and University of Educational Management (with support of the vice-rector for research and digitalization Oleg M. Spirin). We are thankful to all the authors who submitted papers and the delegates for their participa- tion and their interest in CTE 2020 as a platform to share their ideas and innovation. Also, we are also thankful to all the program committee members for providing continuous guidance and efforts taken by peer reviewers contributed to improve the quality of papers provided constructive critical comments, improvements and corrections to the authors are gratefully appreciated for their contribution to the success of the workshop. References [1] S. Semerikov, M. Shyshkina, Preface, CEUR Workshop Proceedings 2168 (2017). URL: http://ceur-ws.org/Vol-2168/preface.pdf. [2] A. Kiv, V. Soloviev, S. Semerikov, CTE 2018 – How cloud technologies continues to transform education, CEUR Workshop Proceedings 2433 (2019) 1–19. URL: http://ceur-ws. org/Vol-2433/paper00.pdf. [3] A. Kiv, M. Shyshkina, S. Semerikov, A. Striuk, M. Striuk, H. 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Shenayeva, Information and communication tools for pupils’ research competence formation at chemistry profile learning, Information Technologies and Learning Tools 56 (2016) 10–29. URL: https:// journal.iitta.gov.ua/index.php/itlt/article/view/1522. doi:10.33407/itlt.v56i6.1522. [210] V. S. Morkun, S. O. Semerikov, S. M. Hryshchenko, Content and teaching technology of course "Ecological geoinformatics" in training of future mining engineers, Information Technologies and Learning Tools 57 (2017) 115–125. URL: https://journal.iitta.gov.ua/ index.php/itlt/article/view/1549. doi:10.33407/itlt.v57i1.1549. [211] V. Morkun, S. Semerikov, S. Hryshchenko, Environmental competency of future min- ing engineers, Metallurgical and Mining Industry 6 (2014) 4–7. URL: https://www. metaljournal.com.ua/assets/Journal/1.2014.pdf. [212] Y. B. Sikora, O. Y. Usata, O. O. Mosiiuk, D. S. Verbivskyi, E. O. 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