Faculty Of Informatics Research Articles

TRAINING A MODERN MATHEMATICS TEACHER: THE EXPERIENCE OF THE YURY FEDKOVYCH CHERNIVTSY NATIONAL UNIVERSITY

The article analyzes research on the issues of readiness of a modern mathematics teacher; the advantages of using innovative technologies over traditional ones by a teacher are presented. The purpose of the article is to substantiate the feasibility of training future mathematics teachers by introducing innovative technologies into the educational process of a higher education institution. Research methods include theoretical – analysis, synthesis, comparison, study of best practices and empirical – pedagogical experiment, expert assessment, testing, questionnaires. It is proven that the main function of innovative technologies is the direct inclusion of students in life itself and the implementation of the doctrine of “lifelong learning”. It is determined that the use of innovations and the application of pedagogical innovative technologies in work is one of the components of the innovative competence of a mathematics teacher. The features of the formation of the readiness of future mathematics teachers for innovative pedagogical activity and the classification of pedagogical technologies that are implemented in their work are presented. The academic disciplines of the educational program of the specialty 014.04 «Secondary education (mathematics)» for the field of knowledge 01 «Education/Pedagogy», which is implemented at the Faculty of Mathematics and Informatics of Yuriy Fedkovych Chernivtsi National University, are considered. As a result of studying professionally oriented disciplines, a complex of innovative teacher competencies is formed. The integration of innovative technologies in mathematics teacher training at Yuriy Fedkovych Chernivtsi National University sets a benchmark for modern education. By fostering competencies such as digital literacy, critical thinking, and adaptability, the university prepares future teachers to navigate the challenges of contemporary classrooms effectively. These advancements contribute to the broader goal of creating a resilient, innovative, and capable educational workforce. Future research and continuous adaptation will further enhance the training process, ensuring alignment with global trends and local needs.

Exploring current student-centred assessment practices in higher education towards adaptive graduates

The last three decades have seen significant educational reform, which have influenced the transformation of assessment practices in higher education institutions (HEIs). In addition, various societal and global changes have required that higher education create adaptive graduates who acquire and develop higherorder skills which include problem-solving skills, critical thinking, creativity and autonomy. Thus, HEIs are expected to produce adaptive graduates to meet the demands of the current national and international society and workforce. Literature suggests that student-centred assessments (SCA) can promote such higherorder skills, which have also become known as 21st century skills. Since, assessment is an integral part to learning and instruction, the design of assessments have become an important aspect in HEIs. This entails HEIs adapting to the paradigm shift from traditional assessment methods to student-centred assessment methods. This study adopted a case study approach to explore staff and student’s experiences of student-centred assessments. The respondents for this study were the staff and students from a Faculty of Accounting and Informatics at a HEI in South Africa. The findings reveal that while staff and students support various SCA and activities , the implementation of these assessments are hindered by challenges faced by staff . The contribution of this paper is to emphasize how student-centred assessment (SCA) practices foster the development of adaptive graduates while addressing the challenges to their effective implementation. Furthermore, this paper is significant to policymakers, educators, and institutional leaders seeking to enhance assessment practices and prepare adaptive, future-ready graduates.

Comparative Study of Energy Consumption Intensity: A Case Study of the Faculty of Electrical Engineering and Informatics (FEI) Versus the Faculty of Chemical Technology (FChT) in the City of Pardubice

Abstract The study’s comparative aspect between the Faculty of Electrical Engineering and Informatics (FEI) and the Faculty of Chemical Technology (FChT) buildings is pivotal for elucidating nuanced differences in energy consumption practices within academic institutions, facilitating targeted energy efficiency measures. The research methodology adopts a comparative case study approach to examine two focal research buildings. Analysis entails computing energy consumption intensity per unit area for both buildings and comparing energy consumption data to identify disparities. The need for understanding energy consumption patterns and improving energy efficiency in academic infrastructure is directly addressed through variables studied in the comparative analysis, including energy consumption comparison, annual and monthly variations, ratio, and intensity. The data indicates that the average heating intensity in the FChT building surpasses that of the FEI building by a factor of 2.3, signifying significant disparities in heating energy consumption trends between the two structures and suggesting potential areas for targeted energy efficiency interventions. Moreover, the average electrical intensity in the FChT building is over 1.7 times higher than in the FEI building. Interestingly, despite the FChT building being 2.6 times larger than the FEI, its intensity does not always correspond with the increase in building area, indicating additional factors influencing energy consumption.

Developing and Implementing a Clinical Informatics Curriculum.

We developed and implemented a customized internal clinical informatics (CI) curriculum for the UC Irvine CI Fellowship program. The goal was to transition from an externally sourced curriculum to a more focused, internally developed program, aligning with feedback from early fellows and the evolving practical needs of clinical informatics. By designing this curriculum in-house, we sought to provide a more efficient, cost-effective, and relevant educational experience for fellows. The curriculum was designed over a one-year period, beginning in July 2021 and launched in July 2022. The development process involved collaboration among core clinical informatics faculty, organizing the content into 13 thematic blocks, each spanning four weeks. Each block included a mix of pre-recorded lectures for asynchronous learning and interactive sessions for applied, synchronous learning. The curriculum was designed to cycle twice over the course of the two-year fellowship, with second-year fellows taking on greater teaching responsibilities to solidify their knowledge. Feedback was gathered from graduating fellows and used to iteratively refine the content and structure. Feedback from fellows during the first year of implementation was overwhelmingly positive, with evaluations indicating high satisfaction regarding the relevance, focus, and practical application of the content. Quantitative and qualitative feedback suggested that fellows found the internal curriculum more aligned with their learning goals compared to the prior external curriculum. Modifications were made based on fellow input to adjust the number and structure of interactive sessions, ensuring high-yield learning. This case study highlights the successful development and implementation of a customized clinical informatics curriculum at UC Irvine. The curriculum offers a more tailored, responsive, and comprehensive educational model, addressing both financial constraints and the need for a practical, focused learning experience. This initiative provides valuable insights and a potential framework for other institutions seeking to transition to an internal informatics curriculum.

Gamificación del modelo TPACK en la enseñanza de programación mediante realidad virtual

In recent years, the combination of pedagogy and technology has revolutionized education, providing teachers with innovative tools to transform their work in the classroom. With the aim of transforming and improving the teaching of subjects related to technical and programming concepts, it was decided to develop a virtual reality (VR) tool to address the challenge of ensuring that students acquire, understand, and can effectively apply knowledge in practice through the TPACK model. The approach applied for this research was quantitative, supported by an applied experimental design and a convenience sample of 49 students from the Faculty of Informatics at the Autonomous University of Querétaro, Mexico. Likert scale surveys were conducted to measure the improvement and transformation of teaching through the virtual tool and the TPACK model. The results demonstrated that the strategy of using VR for teachers to provide students with a platform featuring game mechanics helps transform and improve learning. It was also concluded that one of the greatest strengths of this tool is that it removes the user from the traditional classroom, mitigating pressure or negative predisposition towards unknown or difficult-to-understand concepts.

Should Universities partner with NGOs? A Case Study of a University of Technology and a Coding School for Refugees

This paper explores the advantages of a University-NGO Partnership between the Faculty of Informatics at Vienna University of Technology (TU Vienna) and the NGO „refugees{code}―, a coding school for refugees in Vienna, Austria. The goal of this collaboration is twofold: Firstly, to help students apply coding skills practically and enhance their proficiency through teaching experiences with underrepresented groups; and secondly, to provide refugees with meaningful activities that match their profession, education, and personal interests, which might have been interrupted in their home countries. The study evaluates the perspectives of the stakeholders involved. To do so, written surveys and interviews with computer science students, refugees and team members of the NGO were conducted. The results indicate that meaningful educational benefits for computer science students can be created within such partnerships, such as enhanced teaching abilities, dispelled prejudices, insights into the factors affecting refugees' educational and career trajectories, as well as improved communication and empathy skills. However, challenges for such partnerships also exist, including giving student teachers more time for meetings and discussions, empowering them to make decisions, providing access to counseling psychologists and interpreters, and offering support in managing participants' expectations. The findings shed light on the potential benefits from participating in campus-community partnerships and suggest several measures to improve them, such as providing additional ECTS credits, intensifying promotional activities to encourage greater student participation, providing alumni support, and issuing official certificates.

Nursing Informatics Competencies of Graduate Nurse Educator Students: Descriptive Study.

The advancement of technology and Artificial Intelligence applied health information systems demand high informatics competencies from nurses. To prepare nursing students to meet this demand, informatics courses are designed to increase informatics competencies. We offered an online informatics course to graduate students in a Nurse Educator program and assessed their informatics competency, including subdomains. Survey data were collected between Fall 2020 and Fall 2022 using an online Self-Assessment of Informatics Competency Scale for Health Professionals. We analyzed 109 responses and found that students were competent in overall informatics competency and the subdomains of "basic computer skills" and "applied computer skills (clinical informatics)." They were proficient in the 'role' subdomain. However, students reported less competency in managing data and incorporating standard terminology into practice. These findings provide detailed insights of the current nursing students' informatics competencies and can guide informatics faculty in improving their courses.

Evaluation on Digital Online Videos-Project of Algebra Material

It's a challenges to learn algebra at the faculty of informatics in Sorong, Papua Barat, Indonesia. This suggested learning materials that were engaging and interactive and focused on practical skills. Algebra courses at times assign online digital video projects as a learning strategy. In this study, the skills of students in video-projects along with additional online, digital assignments pertaining to algebra were observed, examined, and determined. The ICSDR (Identify, Conceptualize/Connect, Storyboard, Develop, Review/Reflect, and Refine) methodology was utilized as the framework for a digital online video production. The ICSDR methodology makes algebraic content interactive for education and helps students in understanding the idea of online digital video projects. This study employed a hybrid approach, including project-based learning , descriptive theoretical-practical evaluation, and subjectively analysis. As a result, students are passionate about using applications for producing movies and working on assignments such as online digital video projects. This increased skills and experience in terms of video processing and video editing. Results from the subjective video evaluation were fairly good in terms of concepts, creativities, theories, and problem solving as practice questions. Keywords: e-learning, digital video, ICSDR, project-based learning

Selected Aspects of Research on Railway Transport Safety

This article showcases the findings of research conducted at the Faculty of Transport, Electrotechnics, and Informatics of the Technological-Humanistic University in Radom. Initially, it delves into a statistical analysis of measurements procured during automatic ultrasonic testing. By integrating these measurements with distinct features of the diagnostic method and fusing differential coding with traditional lossless compression techniques (like Huffman and dictionary coding), a potent measurement compression algorithm was developed. This algorithm subsequently found application in railway track diagnostics. The primary objective of this article is to illustrate this algorithm's efficiency and benchmark its advantages against other compression techniques. Subsequently, the paper delineates the design of a system tailored for collating operational data and evaluating the reliability and safety of railway automation systems. This concept was actualized under the auspices of a project sponsored by the National Center for Research and Development, PBS3/A6/29/2015. A spotlight will be thrown on the software that acts as an integrative tool, assimilating data from various systems. In its final segments, the article discusses the initiative to harness open systems, premised on the PN-EN 50159:2011 standard, to bolster the safety standards of railway transportation. The first one resulted from the maximum train speed, the second one is the variety of rolling stock used on this line (compartmental and non-compartmental wagons). The part of research concerning collection of measurement material was performed within the framework of completed research work PBS3/A6/29/2015. As a result of conducted in-depth literature analysis as well as performed measurements and calculations, it allowed to develop a model and software for simulating system operation in real conditions. A prototype of this system, accompanied by select research outcomes from railway routes, will be laid out. Ultimately, the article seeks to emphasize the significance of diverse research endeavors that hold the potential to directly enhance the safety and operational efficiency of railway transport.

Investigating changes in prevailing mental states among students with different levels of academic performance

Introduction. The difficulties of the adaptation period increase the level of anxiety and psychological stress in students and negatively affect academic performance of first-year students. Despite the fact that recent studies have identified a wide range of conceptually different correlates of academic success, the problem of mental states of first-year students in the context of assessing their learning outcomes remains insufficiently studied in theoretical and empirical terms. Therefore, the problem of identifying a risk group for academic underachievement and maintaining the student population does not lose its relevance. The purpose of the study is to identify students’ mental states determining levels of academic performance. Materials and Methods. In order to identify the characteristics of students’ mental states, mental states were assessed at psychophysiological, psychological and socio-psychological levels. The authors used the following methods: Lemur-Tessier-Fillion ‘Psychological Stress Scale PSM-25’ adapted by N.E. Vodopyanova (2009), PSM-25 scale, method for determining neuropsychic stability, risk of maladaptation in stress ‘Forecast-2’ (V. Yu. Rybnikov), reactive (situational) and personal anxiety scale (Ch. D. Spielberger, 1973), adapted by Yu.L. Khanin, (1978), L.V. Kulikova’s methods for identifying the dominant and current states, methods for evaluating socio-psychological adaptation by K. Rogers, R. Diamond, (1954), adapted by T. V. Snegireva (1987) and by A. K. Osnitsky. The study involved 56 1st year full-time students of the Faculty of Mathematics, Informatics, Physics and Technology at Omsk State Pedagogical University. Results. The authors identified scales of methods for mental states assessment: ‘tone’, ‘activation-deactivation’, ‘situational anxiety’, ‘psychological stress’, which revealed statistically significant changes in students demonstrating different levels of academic performance. The authors revealed differences in prevailing mental states in students with different academic performance. Conclusions. The mental states of students identified in this study can be used in designing a programme of socio-psychological support for first-year students aimed at identifying the risks of maladjustment and a decrease in academic performance. Limitations. Limitations of the study include a small sample of students of one faculty and one-time use. It is necessary to check the possibility of extending the hypothesis to students of other faculties.

Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.1. Type of peer review: Single anonymous2. Conference submission management system: Morressier3. Number of submissions received: 324. Number of submissions sent for review: 315. Number of submissions accepted: 276. Acceptance Rate (Submissions Accepted / Submissions Received × 100): 84.4 %7. Average number of reviews per paper: 2.008. Total number of reviewers involved: 259. Contact person for queries:Name: Anton TrnikAffiliation: Department of Physics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in NitraEmail: atrnik@ukf.sk* means value has been edited

Knowledge Base Development for Second Language Learning in the 3D Virtual Space

In our study first we provide a short overview of the 3D virtual library project which started about ten years ago as part of the Cognitive Infocommunications (CogInfoCom) research. The current implementation of the virtual library model exploits the 3D features of the MaxWhere Seminar System. In our study we would like to summarize the classroom experiences that we brought together in teaching English as a second language for students of computer science majors at the Faculty of Informatics, University of Debrecen in the academic year of 2020 and 2021. Our main purpose was to improve the students’ linguistic knowledge and to collect their opinions and suggestions about the content of the learning material of our virtual library and where they think is necessary to modify it. Summarizing their views, we decided to add further vocabulary items, contexts and explanations to the material. In addition, their achievements proved that successful language learning needs carefully prepared tests and exercises which support self-assessment and increase motivation. In general, the more tests are available the more efficient the learning process is. But preparing good and varied tests manually is a relatively slow and exhausting work. Therefore, we intended to use JavaScript technology to develop an algorithm which can generate tests and exercises automatically, based on the knowledge base of the virtual library.

Machine Learning Model for Applicability of Hybrid Learning in Practical Laboratory

Significant changes have been observed from 2019 in the COVID period as study styles shifted from traditional to hybrid learning. This paper predicted the applicability of the hybrid learning mode of education in the programming labs for the informatics faculty. It explored novel vital features that predicted the applicability of hybrid learning in the practical labs of the informatics domain. For this, the Classification and Regression Tree (CART) identified the relevance of hybrid education with an accuracy of 71.7%. The confusion matrix of the CART model has 67.3% correctness (sensitivity) for “Yes”, and 76% correctness (specificity) for “No” during validation. The false negative rate (type II error) is 32.7%, and the false positive rate (type I error) is 24%. The AUC value of the CART model is 0.68. Some obstacles were identified, such as isolation from the natural study environment, reduced quality of interaction with other faculty, and turning offthe mic or camera during labs. Also, it was found that the university initiated and provided support to create less stress and ease of communication. Adopting the Hyrbid learning mode is unsuitable for handling group tasks or projects in the laboratory. Also, the hybrid learning mode proved a vital mode of study in practical labs as online learning with a safe environment.

Antibacterial Activity of Terminalia mantaly Stem Ethanol Extract as Hand Sanitizer Gel

Background: Hand sanitizers generally contain alcohol. However, it can cause dry and irritated skin. Therefore, it is necessary to find antibacterial alternatives that are safe for the skin. One of the plants that has antibacterial activity is Terminalia mantaly (T. mantaly). This study aimed to investigate the antibacterial activity of ethanol extract and hand sanitizer gel of T. mantaly.Methods: The antibacterial activity test against gram-positive (Staphylococcus aureus and Streptococcus pyogenes) and gram-negative bacteria (Escherichia coli and Shigella dysenteriae) was carried out using the liquid micro dilution method. The phytochemical tests were also performed. This study was conducted at the Chemistry Laboratory, Faculty of Sains and Informatics, Universitas Jenderal Achmad Yani in April-June 2022.Results: The ethanol extract of T. mantaly stem contained secondary metabolites of alkaloids, tannins, quinones, saponins, steroids, and flavonoids. The minimum inhibitory concentration (MIC) values of T. mantaly stem ethanol extract against Escherichia coli, Shigella dysenteriae, Staphylococcus aureus, Streptococcus pyogenes were 0.63%, 0.63%, 0.16%, and 0.16%, whereas the hand sanitizer gel gave MIC values of 0.63%; 0.31%; 0.16%; and 0.16% respectively. The minimum bactericidal concentration (MBC) values of T. mantaly stem ethanol extract and hand sanitizer gel had the same results, namely 2.50%, 0.16%, 1.25%, and 1.25%. The physical stability of the hand sanitizer gel from the ethanol extract of T. mantaly stem met the physical stability standards of the gel. Conclusions: The ethanol extract of the T. mantaly stems has stronger antibacterial activity against gram-positive bacteria than against gram- negative bacteria.

UIGM Student Satisfaction Level with E-Learning Using End User Computing Satisfaction (Eucs)

The Ministry of Education and Culture responded by issuing a policy of learningfrom home, through online learning, the current education system must be ready tomake the leap to transform online learning for all students. E-learning is a distancelearning process whose implementation is supported by computers and internettechnology, so that the learning process can be carried out at any time without ameeting between lecturers and students. From the explanation above, a study wasconducted that measured the Level of Satisfaction of E-learning Students at Indo GlobalMandiri University using the End User Computing Sastification (EUCS) method. Thisresearch will analyze the level of student satisfaction using the E-learning web whichhas an important role in higher education. Analysis of the level of satisfaction usingEUCS is expected to be a measuring tool for the success of a system The model of EndUser Computing Satisfication (EUSC) was developed by Doll & Torkzadeh. EUCS is amethod that can be used to measure the level of satisfaction of users of a system, bycomparing expectations and reality of a system. Evaluation using the EUCS model ismore focused on end user satisfaction with technological aspects. The dimensions inEnd User Computing Satisfaction (EUCS) according to Doll & Torkzadeh are five, namelycontent (Content), accuracy (Accuracy), form (Format).From the results of dataprocessing that has been done previously, it can be concluded in this study that theresults of quantitative analysis on the variable respondents who strongly agree (SS) are80.0%, who agree 20.0% so it can be concluded that user satisfaction with theperformance of e-learning students of Indo Global Mandiri University, Faculty ofInformatics Engineering is very satisfied.

60th anniversary of birthday of professor Roman Chapko

On October 26, 2023, the distinguished Ukrainian mathematician Roman Chapko, Doctor of Sciences, Professor in the Department of Computational Mathematics of the Faculty of Applied Mathematics and Informatics at Ivan Franko National University of Lviv, Ukraine, has turned 60. He is renowned in the broad mathematical community in Ukraine and beyond for his significant contributions to numerical analysis, computational mathematics, and mathematical modeling. His decades-long scientific activity has earned him a high reputation and has significantly elevated the standing of Ukrainian mathematics and science as a whole.

Analysis of the factors affecting student dropout at the University of Miskolc

Our research is linked to the strategy for higher education in Hungary, which sets out a clear expectation to reduce the number of university dropouts. The first step towards achieving these goals is to explore and describe the phenomena and the context of university dropouts. According to a number of studies, the first year is crucial for the success of students in obtaining a degree. Significant failure to earn the number of credits set out in the recommended curricula implies a serious risk of dropout. Our research sought to find out how previous studies, in particular secondary school attainment, the student's residence, and its level of infrastructure development as well as the student's sex influence the number of credits earned in the first two semesters. Our analysis was carried out using data from students studying at the Faculty of Economics and the Faculty of Mechanical Engineering and Informatics at the University of Miskolc, broken down by fields of study.

Using expert-reviewed CSAM to train CNNs and its anthropological analysis

Machine learning methods for the identification of child sexual abuse materials (CSAM) have been previously studied, however, they have serious limitations. Firstly, the training sets used to train the appropriate machine learning algorithms were not previously annotated by a forensic expert in anthropology. Secondly, previously presented solutions have rarely used models trained using real pornographic content involving children. Thirdly, previous studies have not presented a detailed justification for the classification decisions made, which is important due to the recent guidelines of the European Commission (Artificial Intelligence Act).The aim of the study was to train convolution neural networks (CNNs) using expert-labelled CSAM images and thereby identify the elements of the body and/or the environment that are critical for classifications by the neural network. To train and evaluate machine learning models, we used 60,000 images equally divided into four classes (CSAM images, images displaying sexual activity involving adults, images of people without sexual activity, and images not containing people). We used four neural network architectures: MobileNet, ResNet152, xResNet152 and its modification ResNet-s, designed for the purpose of research.The trained models provided high accuracy of classifying CSAM images: xResNet152 (F1 = 0.93, 92,8%), xResNet-s (F1 = 0.93, 93,1%), ResNet152 (F1 = 0.90, 91,39%), MobileNet (F1 ranged from 0.85 to 0.87, accuracy ranged from 86% to 87%).The results of the conducted research suggest that using expert knowledge (in sexology and anthropology) significantly improved the accuracy of the models. In regard to further anthropological analysis, the results indicate that the breasts, face and torso are crucial areas for the classification of pornographic content with children's participation. Results suggests that the ResNet-s neural network may be a reliable tool for clinical work and to support the work of experts witnesses in the field of anthropology.The study design received a positive opinion of the Ethics Committee of the Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw. The clinical material was used for research purposes with the consent of the relevant prosecutor's offices. Authors provided free version of Windows application to classify CSAM for forensic experts, policemen and prosecutors at the OSF repository (DOI: 10.17605/OSF.IO/RU7JX).

THE IMPACT OF MICROTRANSACTIONS ON THE DEVELOPMENT OF COMPUTER GAME BUSINESS MODELS

The paper deals with the impact of microtransactions on the development of new business models in the field of computer games, caused by various monetized offerings within computer games, as well as other platforms such as gaming consoles and smartphones. The paper also examines the reasons for the emergence of business models based on microtransactions in the video game industry and the influence of the industry’s transition towards a consumer-oriented model. The central hypothesis of the paper is that microtransactions have a strong impact on the development of business models in the entire video game industry, and that over time, the value of products monetized in this way increases, despite consumers’ efforts to prevent this development direction of the industry. The paper conducted research on a population of consumers of video game content, mainly students of the Faculty of Organization and Informatics at the University of Zagreb, as well as respondents from other EU countries. The conclusion is that the number of microtransactions and the number of business models based on microtransactions will continue to grow in the future, but there are ways to combat those forms of microtransactions that have negative effects on consumers, especially minors, and, in some situations, even illegal.

Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.• Type of peer review: Single Anonymous• Conference submission management system: Morressier• Number of submissions received: 37• Number of submissions sent for review: 37• Number of submissions accepted: 35• Acceptance Rate (Submissions Accepted / Submissions Received × 100): 94.6• Average number of reviews per paper: 2• Total number of reviewers involved: 11• Contact person for queries: Name: Anton Trnik Email: atrnik@ukf.sk Affiliation: Department of Physics, Faculty of Natural Sciecnes and Informatics, Constantine the Philosopher University in Nitra