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|title=Revolutionizing education: using computer simulation and cloud-based smart technology to facilitate successful open learning
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|authors=Stamatios Papadakis,Arnold E. Kiv,Hennadiy M. Kravtsov,Viacheslav V. Osadchyi,Maiia V. Marienko,Olga P. Pinchuk,Mariya P. Shyshkina,Oleksandra M. Sokolyuk,Iryna S. Mintii,Tetiana A. Vakaliuk,Andrii M. Striuk,Serhiy O. Semerikov
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==Revolutionizing education: using computer simulation and cloud-based smart technology to facilitate successful open learning==
https://ceur-ws.org/Vol-3358/paper00.pdf
Revolutionizing education: using computer
simulation and cloud-based smart technology to
facilitate successful open learning
Stamatios Papadakis1 , Arnold E. Kiv2,3 , Hennadiy M. Kravtsov4 ,
Viacheslav V. Osadchyi5 , Maiia V. Marienko6 , Olha P. Pinchuk6 , Mariya P. Shyshkina6 ,
Oleksandra M. Sokolyuk6 , Iryna S. Mintii6,7,8 , Tetiana A. Vakaliuk9,6,7 ,
Andrii M. Striuk10,11 and Serhiy O. Semerikov7,10,6
1
University of Crete, Gallos Campus, Rethymnon, Crete, 74100, Greece
2
Ben-Gurion University of the Negev, P.O.B. 653, Beer Sheva, 8410501, Israel
3
South Ukrainian National Pedagogical University named after K. D. Ushynsky, 26 Staroportofrankivska Str., Odesa,
65020, Ukraine
4
Kherson State University, 27 Universytetska Str., Kherson, 73003, Ukraine
5
Borys Grinchenko Kyiv University, 18/2 Bulvarno-Kudriavska Str., Kyiv, 04053, Ukraine
6
Institute for Digitalisation of Education of the NAES of Ukraine, 9 M. Berlynskoho Str., Kyiv, 04060, Ukraine
7
Kryvyi Rih State Pedagogical University, 54 Gagarin Ave., Kryvyi Rih, 50086, Ukraine
8
Lviv Polytechnic National University, 12 Stepana Bandery Str., Lviv, 79013, Ukraine
9
Zhytomyr Polytechnic State University, 103 Chudnivsyka Str., Zhytomyr, 10005, Ukraine
10
Kryvyi Rih National University, 11 Vitalii Matusevych Str., Kryvyi Rih, 50027, Ukraine
11
Academy of Cognitive and Natural Sciences, 54 Gagarin Ave., Kryvyi Rih, 50086, Ukraine
Abstract
The article presents the proceedings of two workshops: Cloud-based Smart Technologies for Open
Education Workshop (CSTOE 2022) and Illia O. Teplytskyi Workshop on Computer Simulation in
Education (CoSinE 2022) held in Kyiv, Ukraine, on December 22, 2022. The CoSinE workshop focuses on
computer simulation in education, including topics such as computer simulation in STEM education, AI
in education, and modeling systems in education. The CSTOE workshop deals with cloud-based learning
resources, platforms, and infrastructures, with topics including personalized learning and research
environment design, big data and smart data in open education and research, machine learning for open
education and research, and more. The article includes a summary of successful cases and provides
directions for future research in each workshop’s respective topics of interest. The proceedings consist of
several peer-reviewed papers that present a state-of-the-art overview and provide guidelines for future
research. The joint program committee consisted of members from universities and research institutions
worldwide.
Keywords
Computer Simulation in Education, Cloud-based Smart Technologies for Open Education
1
1. Introduction
1.1. CoSinE 2022
CoSinE (Computer Simulation in Education) is
a peer-reviewed international workshop focusing
on theory and practice of computer simulation in
education. Illia O. Teplytskyi (1941–2018), whose
groundbreaking work in the area of computer sim-
ulation in education inspires us, founded this work-
shop. Figure 1: CoSinE 2022 logo.
CoSinE topics of interest since 2019 [1, 2, 3, 4] are:
• Computer simulation in STEM education
• AI in education
• Educational data mining and learning analytics
• Learning environments models
• Learning virtualization
• Modelling systems in education
The first part of this volume represents the proceedings of the 10th Illia O. Teplytskyi
Workshop on Computer Simulation in Education (CoSinE 2022), held in Kyiv, Ukraine, on
December 22, 2022. It comprises 4 contributed papers [5, 6, 7, 8] that were carefully peer-
reviewed and selected from 5 submissions. Each submission was reviewed by at least 3 program
CoSinE 2022: 10th Illia O. Teplytskyi Workshop on Computer Simulation in Education, and
CSTOE 2022: Cloud-based Smart Technologies for Open Education, co-located with the
ACNS Conference on Cloud and Immersive Technologies in Education (CITEd 2022), December 22, 2022, Kyiv, Ukraine
Envelope-Open stpapadakis@gmail.com (S. Papadakis); kiv.arnold20@gmail.com (A. E. Kiv); kgmkherson@gmail.com
(H. M. Kravtsov); poliform55@gmail.com (V. V. Osadchyi); popelmaya@gmail.com (M. V. Marienko);
opinchuk100@gmail.com (O. P. Pinchuk); marimodi@gmail.com (M. P. Shyshkina); sokolyuk62@gmail.com
(O. M. Sokolyuk); irina.mintiy@gmail.com (I. S. Mintii); tetianavakaliuk@gmail.com (T. A. Vakaliuk);
andrey.n.stryuk@gmail.com (A. M. Striuk); semerikov@gmail.com (S. O. Semerikov)
GLOBE https://ptpe.edc.uoc.gr/en/staff/32380/82 (S. Papadakis); https://ieeexplore.ieee.org/author/38339185000
(A. E. Kiv); http://www.kspu.edu/About/Faculty/FPhysMathemInformatics/ChairInformatics/Staff/Kravtsov.aspx
(H. M. Kravtsov);
https://kubg.edu.ua/prouniversitet/vizytivka/rektorat/dyrektory/1175-osadchyi-viacheslav-volodymyrovych.html
(V. V. Osadchyi); https://iitlt.gov.ua/eng/structure/departments/cloud/detail.php?ID=565 (M. V. Marienko);
https://iitlt.gov.ua/eng/structure/detail.php?ID=442 (O. P. Pinchuk);
https://iitlt.gov.ua/eng/structure/departments/cloud/detail.php?ID=269 (M. P. Shyshkina);
https://iitlt.gov.ua/eng/structure/detail.php?ID=1139 (O. M. Sokolyuk); https://acnsci.org/mintii (I. S. Mintii);
https://sites.google.com/view/neota/profile-vakaliuk-t (T. A. Vakaliuk);
http://mpz.knu.edu.ua/pro-kafedru/vikladachi/224-andrii-striuk (A. M. Striuk); https://kdpu.edu.ua/semerikov
(S. O. Semerikov)
Orcid 0000-0003-3184-1147 (S. Papadakis); 0000-0002-0991-2343 (A. E. Kiv); 0000-0003-3680-2286 (H. M. Kravtsov);
0000-0001-5659-4774 (V. V. Osadchyi); 0000-0002-8087-962X (M. V. Marienko); 0000-0002-2770-0838 (O. P. Pinchuk);
0000-0001-5569-2700 (M. P. Shyshkina); 0000-0002-5963-760X (O. M. Sokolyuk); 0000-0003-3586-4311 (I. S. Mintii);
0000-0001-6825-4697 (T. A. Vakaliuk); 0000-0001-9240-1976 (A. M. Striuk); 0000-0003-0789-0272 (S. O. Semerikov)
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
2
Figure 2: Joint workshop opening.
committee members. The accepted papers present the state-of-the-art overview of successful
cases and provides guidelines for future research.
1.2. CSTOE 2022
CSTOE 2022: Cloud-based Smart Technologies for
Open Education workshop is designed to consider
the state of the art and potential benefit of new
and emerging adaptive technologies application
within the open systems of higher education. The
aim is to explore the use of AI, smart data pro-
cessing, cloud-based personalized open education
and research tools, adaptive and intuitive learning
environments for forming the creative and ICT
Figure 3: CSTOE 2022 logo.
competent person in view of European Research
Area development. That have to meet the priorities of open science, open communication and
open data access and delivery, the wide use of cloud-based learning resources, platforms and in-
frastructures to support learning and research within the open systems of higher education. The
subject matter of the Workshop deals with Big data, Smart data, European Open Science Cloud
(EOSC) data and resources, adaptive data processing and analytics, smart learning and research
environment to provide breakthrough educational technologies and smart data processing.
CSTOE topics of interest are:
• Personalized Learning and Research Environment Design
3
• Smart Systems and Learning Robotics for Distance and Enhanced Learning
• Mobile Resources and Ubiquitous Computing in Open Education
• Virtual and Augmented Reality in Open Learning
• Knowledge Extraction, Engineering and Management
• Internet of Things for Open Learning
• Quality Assurance of ICT Education: Methods, Resources and Technologies
• Cloud-based Research Infrastructures for Open Learning and Research
• Language Technologies for Enhanced Learning
• Big Data and Smart Data in Open Education and Research etc.
• Machine Learning for Open Education and Research
The second part of this volume represents the proceedings of the Cloud-based Smart Tech-
nologies for Open Education Workshop (CSTOE 2022), held in Kyiv, Ukraine, on December 22,
2022. It comprises 1 contributed paper [9] that was carefully peer-reviewed and selected from 3
submissions. Each submission was reviewed by at least 3 program committee members. The
accepted paper includes a current summary of successful cases as well as directions for future
research.
1.3. CoSinE 2022 & CSTOE 2021 committees
1.3.1. Joint program committee
• Marc Baaden, CNRS, France [10]
• Pablo Garcia Bringas, University of Deusto, Spain [11]
• Oleksandr Burov, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine
& University of Vienna, Austria [12]
• Nadire Cavus, Near East University, North Cyprus [13]
• El-Sayed El-Horbaty, Ain Shams University, Egypt [14]
• Ramón Fabregat, University of Girona, Spain [15]
• Irina Georgescu, Bucharest University of Economics, Romania [16]
• Mustansar Ali Ghazanfar, University of East London, United Kingdom [17]
• Anita Goel, University of Delhi, India [18]
• Carina Gonzalez, Universidad de La Laguna, Spain [19]
• Sven Hartmann, Clausthal University of Technology, Germany [20]
• Michail Kalogiannakis, University of Crete, Greece [21]
• Yuriy Kondratenko, Petro Mohyla Black Sea State University, Ukraine [22]
• Francesco Lelli, Tilburg University, Netherlands [23]
• Chung-Sheng Li, PwC, United States [24]
• Piotr Lipiński, Technical University of Lodz, Poland [25]
• Jinwei Liu, Florida A&M University, United States [26]
• Alessandra Lumini, University of Bologna, Italy [27]
• Rashid Mehmood, King Abdulaziz University, Saudi Arabia [28]
• Vincenzo Moscato, University of Naples “Federico II”, Italia [29]
4
• Thomas Moser, St. Pölten University of Applied Sciences, Austria [30]
• Ranesh Kumar Naha, University of Tasmania, Australia [31]
• Stamatios Papadakis, University of Crete, Greece [32]
• Michael M. Resch, HLRS, University of Stuttgart, Germany [33]
• Nina Rizun, Gdańsk University of Technology, Poland [34]
• Abdel-Badeeh M. Salem, Ain Shams University, Egypt [35]
• Demetrios Sampson, University of Piraeus, Greece [36]
• Antonio Sarasa Cabezuelo, Universidad Complutense de Madrid, Spain [37]
• Prem Kumar Singh, Gandhi Institute of Technology and Management, India [38]
• Daniel Thalmann, Swiss Federal Institute of Technology in Lausanne, Switzerland [39]
• Longkai Wu, National Institute of Education, Singapore [40]
• Eftim Zdravevski, University Ss Cyril and Methodius, Macedonia [41]
1.3.2. Organizing committee
• Hennadiy Kravtsov, Kherson State University, Ukraine [42]
• Maiia Marienko, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine
[43]
• Iryna Mintii, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine
[44]
• Viacheslav Osadchyi, Borys Grinchenko Kyiv University, Ukraine [45]
• Olha Pinchuk, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine
[46]
• Serhiy Semerikov, Kryvyi Rih State Pedagogical University, Ukraine [47]
• Mariya Shyshkina, Institute for Digitalisation of Education of the NAES of Ukraine,
Ukraine [48]
• Oleksandra Sokolyuk, Institute for Digitalisation of Education of the NAES of Ukraine,
Ukraine [49]
• Andrii Striuk, Kryvyi Rih National University, Ukraine [50]
• Tetiana Vakaliuk, Zhytomyr Polytechnic State University, Ukraine [51]
1.3.3. General chair
Dr. Stamatios Papadakis (figure 4) has been a postdoctoral researcher in Educational Technol-
ogy, with an emphasis on mobile learning, at the Department of Preschool Education at the
University of Crete, Greece, since 2016. He graduated from the Department of Informatics,
Athens University of Economics and Business, Athens, Greece. In 2006 he completed a master’s
degree (M.Ed.) in Pre-school Education and Educational Design at the University of Aegean,
Rhodes, Greece, at the School of Humanities, Department of Pre-school Education. In 2016, he
completed a PhD at the University of Crete, Department of Education in Rethymnon, Greece. He
has worked as an adjunct Lecturer in Education, teaching Didactics in Programming (2017-2018)
at the Department of Computer Sciences, School of Sciences and Engineering at the University
of Crete, Greece. Since 2017 he has worked as an adjunct Lecturer in Education teaching Infor-
matics (2017-2018) at the Department of Preschool Education, School of Education, University
of Crete, Greece.
5
He has worked in several international and
national computational thinking and pedagogy
projects for Pre-K to 16 Education. His scientific
and research interests include the study of mo-
bile learning, especially on using smart mobile de-
vices and their accompanying mobile applications
(apps) in Preschool and Primary Education, focus-
ing on developing 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 explain the effects on Figure 4: Dr. Stamatios Papadakis, hon-
preschoolers’ learning outcomes. orary editor of the CITEd 2022
Languages: English (fluent), German. workshop proceedings volumes.
He is an ambassador for Scientix – The Commu-
nity for Science Education in Europe and EU Code Week. He is an ESERA member, CSTA, EAI,
IGIP, and the Union for Science and Technology (ENEPHET).
He has published in scientific peer-reviewed journals and international conferences (including
Computers & Education, Education and Information Technologies, Early Childhood Education
Journal) and book chapters.
WWW: https://ptpe.edc.uoc.gr/en/staff/32380/82
ResearchGate: https://www.researchgate.net/profile/Stamatios_Papadakis
Academia: https://independent.academia.edu/PapadakisStamatis
Google Scholar: https://scholar.google.gr/citations?user=e3vLZegAAAAJ&hl=en
ORCID: https://orcid.org/0000-0003-3184-1147
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57038471800
dblp: https://dblp.org/pers/hd/p/Papadakis:Stamatis
Web of Science: https://www.webofscience.com/wos/author/record/S-1483-2016
AD Scientific Index: https://www.adscientificindex.com/scientist.php?id=1846783
Research website: http://moeads.edc.uoc.gr/
Selected works: Papadakis [52, 53, 54, 55, 56], Papadakis et al. [57, 58], Ampartzaki et al.
[59], Vaiopoulou et al. [60], Dorouka et al. [61], Karakose et al. [62], Zourmpakis et al. [63], Drolia
et al. [64], Chatzopoulos et al. [65], Lavidas et al. [66].
2. Articles overview
2.1. CoSinE 2022 overview
The article titled “Modelling of AGM-style doxastic operations in three-valued setting” [5]
by Nadiia P. Kozachenko (figure 5) aims to identify controversial issues and areas for further
research in the theoretical approach to modeling of reasoning. The study focuses on one
of the primary modeling approaches based on the AGM concept of belief revision, which is
considered classical due to its foundational concepts of belief, representation, cognitive actions,
6
Figure 5: Presentation of paper [5].
and construction of epistemic systems. However, several controversial issues, such as the purity
and primacy of doxastic operations and their connection, need further research to address.
To address these concerns, the study proposes modeling the AGM ideas within the framework
of the consistent and complete logic of Ł3, using a three-valued logic formalism to constrain
the functioning of doxastic operators. This approach will enable testing of the AGM postulates
and finding possible solutions to the classical AGM problems. The study also explores the
possibility of obtaining other doxastic operators and implementing the minimality criterion for
the contraction operator by combining several theorems of three-valued logic.
The proposed method of translating an informal conceptual scheme into formal logic is
useful in teaching the basics of modeling and demonstrating the limitations and relationships of
modeled objects and processes. Overall, the study provides insights into controversial issues in
7
AGM-style doxastic operations and suggests potential avenues for further research. This article
highlights further research by the authors, begun in [67, 68, 69].
Figure 6: Presentation of paper [6].
The progress of information technology, robotics, nanotechnology, and biotechnology has
resulted in a demand for highly skilled professionals who can adapt to new challenges and
innovate creatively. To meet this need, there is an urgent requirement to reform education
and prepare students for popular careers such as programming, engineering, biotechnology,
nanotechnology, and IT. STEM education can integrate these fields into a comprehensive
curriculum that can be applied to different age groups. The authors propose a method for
calibrating an NTC thermistor using STEM technologies and demonstrate the development of
an electronic thermometer using an Arduino microcontroller. The article “Implementation of
STEM learning technology in the process of calibrating an NTC thermistor and developing an
electronic thermometer based on it” [6] by Roman P. Kukharchuk, Tetiana A. Vakaliuk (figure 6),
8
Oksana V. Zaika, Andrii V. Riabko, and Mykhailo G. Medvediev describes this approach and
builds upon the authors’ previous work [70, 71, 72].
Figure 7: Presentation of paper [7].
The article “Ukraine Higher Education Based on Data-Driven Decision Making (DDDM)” [7]
by Kateryna Bondar, Olena Shestopalova, Vita Hamaniuk, and Vyacheslav Tursky (figure 7)
presents a study on the evaluation of the quality of online undergraduate and graduate education
during the 2022 Russian military invasion of Ukraine. The authors conduct a qualitative
theoretical analysis and empirical research, comparing higher education quality assessment
data from across Ukraine during the war. They analyze the tools and structure of student
feedback on the educational process and modify the programs based on the analysis of this
data. The article also discusses the National Qualifications Framework, which has been under
development since 2014 and requires universities to provide empirical evidence of students
acquiring interdisciplinary competencies. The authors present baseline data on the assessment
of online education quality during the war using the case study of Kriviy Rih State Pedagogical
University. Finally, the authors propose modifications to the questionnaire for assessing the
quality of teaching to enhance data-driven decision-making and testing ethics. This article
builds upon the authors’ previous research [73, 74, 75].
In their article titled “The recognition of speech defects using convolutional neural network”
[8], Olha Pronina and Olena Piatykop (figure 8) present a solution to improve the recognition
efficiency of speech defects in children by utilizing convolutional neural network models to
process spectrogram-based sound data. The ability to communicate effectively through speech
is crucial for successful integration into society, and speech development is an essential part of a
child’s normal growth. Speech defects can cause psychological complexes in children, making it
important to identify and address them at an early age. The authors conduct a literature analysis
and propose the use of CNN models for speech defect identification, with a focus on Ukrainian
9
Figure 8: Presentation of paper [8].
language, which has not been studied in this context. The paper includes a mathematical model
of oral speech disorders in children, a description of CNN structure, and experimental results.
The results show that the proposed method can identify dyslexia, stuttering, difsonia, and
dyslalia with a recognition accuracy of 77-79%. The authors’ related works are referenced as
[76, 77, 78].
2.2. CSTOE 2022 overview
The article “An IoT system based on open APIs and geolocation for human health data analysis”
[9] by Oksana V. Klochko, Vasyl M. Fedorets (figure 9), Maksym V. Mazur and Yurii P. Liulko
was the only paper accepted for presentation at CSTOE 2022. The authors highlight the
growing popularity of open API-based applications, which offer new opportunities for real-
time monitoring of human health using IoT, AI, and cloud computing technologies. The
study describes the development of an application that uses smart gadgets and meteorological
geographic information to generate alerts about potential health risks, such as high pollen
concentrations or poor air quality. The authors believe that this application has significant
potential to improve healthcare efficiency in extreme or sustainable conditions, particularly
during and after the COVID-19 pandemic. They suggest that further research in this area could
involve data processing in healthcare systems using machine learning and deep learning, and
10
Figure 9: Presentation of paper [9].
that the developed IoT system could also be used for educational and scientific purposes. The
authors’ related works are referenced as [79, 80, 81].
3. Conclusion
Joint Workshop on Computer Simulation in Education and Cloud-based Smart Technologies
for Open Education (CoSinE & CSTOE 2022) was organized by the Academy of Cognitive and
Natural Sciences in collaboration with Institute for Digitalisation of Education of the NAES of
Ukraine (with support of the deputy director for scientific experimental work Olha P. Pinchuk),
Kryvyi Rih State Pedagogical University (with support of the vice-rector for research Vita A.
Hamaniuk), Kryvyi Rih National University (with support of the rector Mykola I. Stupnik),
Ben-Gurion University of the Negev (with support of the rector Chaim Hames), Zhytomyr
Polytechnic State University (with support of the rector Viktor V. Ievdokymov) and Kherson
State University (with support of the rector Aleksander V. Spivakovsky).
We are thankful to all the authors who submitted papers and the delegates for their par-
ticipation and their interest in CITEd workshops as a platform to share their ideas and in-
novation. 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 qual-
ity of papers provided constructive critical comments, improvements and corrections to the
authors are gratefully appreciated for their contribution to the success of the conference.
Moreover, we would like to thank the developers and other professional staff of Academy of
Cognitive and Natural Sciences (https://acnsci.org) and Not So Easy Science Education platform
(https://notso.easyscience.education), who made it possible for us to use the resources of this
11
excellent and comprehensive conference management system, from the call of papers and
inviting reviewers, to handling paper submissions, communicating with the authors etc.
We are looking forward to excellent presentations and fruitful discussions, which will broaden
our professional horizons. We hope all participants enjoy this conference and meet again in
more peaceful, hilarious, and happiness of further CITEd 2023.
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