Introduction 1.CoSinE 2022

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 peerreviewed and selected from 5 submissions. Each submission was reviewed by at least 3 program committee members. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research. The second part of this volume represents the proceedings of the Cloud-based Smart Technologies 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.

CSTOE 2022

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] • 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 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 mobile learning, especially on using smart mobile devices and their accompanying mobile applications (apps) in Preschool and Primary Education, focusing on developing Computational Thinking and students' understanding of numbers. Furthermore, he currently investigates how a STEM learning approach influences learning achievement through a context-aware mobile learning environment in the preschool classroom and explain the effects on preschoolers' learning outcomes.

Languages: English (fluent), German.

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, 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 AGM-style doxastic operations and suggests potential avenues for further research. This article highlights further research by the authors, begun in [67,68,69]. 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), Oksana V. Zaika, Andrii V. Riabko, and Mykhailo G. Medvediev describes this approach and builds upon the authors' previous work [70,71,72]. 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 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].

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 realtime 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 that the developed IoT system could also be used for educational and scientific purposes. The authors' related works are referenced as [79,80,81]. We are thankful to all the authors who submitted papers and the delegates for their participation and their interest in CITEd workshops 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 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 excellent and comprehensive conference management system, from the call of papers and inviting reviewers, to handling paper submissions, communicating with the authors etc.

Conclusion

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.