Eniko Nagy

57239381300

Publications - 18

Measuring the quality of life university students and its predictors as a basis for its applied research. Cross-country evidence

František Murgaš Roman Králik Zoltan Balogh Marie Hubálovská Anna Tirpáková Eniko Nagy Marek Nocoń Ján Zozuľak František Petrovič Gyorgy Molnar

Publication Name: Sustainable Futures

Publication Date: 2025-12-01

Volume: 10

Issue: Unknown

Page Range: Unknown

Description:

The paper is focused on the quality of life of university students in Slovakia, the Czech Republic, Poland, Hungary and Spain and its indicators and predictors. University students represent a specific demographic group due to a combination of age, education, and health. Paper has several goals. The first goal is to determine the value of the quality of life of university students in the mentioned countries and to determine the degree of their similarity/difference. The second goal is to compare their quality of life with the quality of life in individual countries. The third goal is to investigate which of the indicators have an impact on the quality of life, and thus are its predictors. Two scientific questions are formulated. Firstly, we are interested in whether there will be a difference between quality of life in Central European countries and Western European Spain. Secondly, we aim to find which predictors there are in common in the studied countries. In other words, we examine what the Quality of Life of university students in five countries is and what determines it to be the way it is.

Open Access: Yes

DOI: 10.1016/j.sftr.2025.101214

Current Issues in Effective Learning: Methodological and Technological Challenges and Opportunities Based on Modern ICT and Artificial Intelligence

Eniko Nagy Gyorgy Molnar

Publication Name: Eai Springer Innovations in Communication and Computing

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-11

Description:

Today, the discourse around the current issues of effective learning is increasingly centred on modern information and communication technologies (ICT) and artificial intelligence (AI)-based methodological and technological solutions. ICT tools, such as online learning platforms, virtual classrooms and digital textbooks, have significantly transformed the educational environment, providing opportunities for personalised learning and remote access. In addition, AI-based applications, such as student performance analysis and curriculum customisation, are opening up new horizons in education. AI can create adaptive learning systems that continuously adapt to the needs and progress of students, thus increasing the effectiveness of learning. But these new technologies and methods also bring with them a number of challenges. One major challenge is digital inequality, as not all students have access to ICT tools and the Internet. Furthermore, educators need to continuously develop their digital competences to keep up with technological developments and effectively integrate new methods into teaching. There are also ethical issues, in particular data protection and student privacy. New opportunities include the use of learning analytics to help educators better understand learning processes and identify areas where students need help. Interactive and gamified learning materials developed with the help of AI can make learning more motivating and enjoyable, thereby increasing student engagement. Overall, the integration of modern ICT and AI-based methods and technologies into education offers significant benefits, but their successful implementation requires adequate infrastructural support, continuous training for teachers and digital access for students. This article provides a brief summary of all these phenomena, trends, opportunities and good practices.

Open Access: Yes

DOI: 10.1007/978-3-031-81261-3_1

Advanced Examination Systems: Applying Fuzzy Logic and Machine Learning Methods in Education

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: Iccc 2025 IEEE 12th International Joint Conference on Cybernetics and Computational Cybernetics Cyber Medical Systems Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 231-235

Description:

In our paper, we present an innovative educational assessment system that attempts to overcome the limitations of traditional educational evaluation methods by applying machine learning, artificial intelligence, fuzzy logic, and advanced mathematical techniques. This system can provide a more objective and personalized assessment of students' knowledge. Current examination systems in educational institutions are outdated and do not meet modern societal and technological requirements. A central element of the system is the application of fuzzy logic, which allows for handling uncertainties in knowledge assessment. Using the FP-growth algorithm and the fuzzy analytical hierarchy process (AHP) aids in optimizing the evaluation process and enables a more profound analysis of students' performance. During the system's development, we aim to adaptively manage the difficulty level of questions, taking into account students' prior performance and individual capabilities. The study highlights the security risks and efficiency issues of current 'manual' question compilation methods. The new system aims to minimize these risks while improving the quality of education and reducing the workload of educators.

Open Access: Yes

DOI: 10.1109/ICCC64928.2025.10999148

New alternatives to private car transport for different powertrains in Hungary - Trends in the petrol, diesel and electric drive solutions

Eniko Nagy Karl Eva Mark Viktor Katai Gyorgy Molnar

Publication Name: Ines 2025 29th IEEE International Conference on Intelligent Engineering Systems 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 285-289

Description:

As time passes and technology becomes more impressive, more ways exist to process, store and visualise data, contributing to data analytics' power. The most common process is to collect data from different sources and store it in some file format. Some process then passes the acquired information to a data warehouse where the data can be stored and queried. Once the right data and tables have been selected, they are imported and exported to a visualisation system, where reports can be generated from the available information. All that remains is to create a custom website where the reports can be displayed. In this paper, we work with data related to petrol, diesel, and electric vehicles. The dataset was synthetically generated using a simulation model developed by the author to reflect realistic automotive scenarios. An ETL process will import the data into the data warehouse, which will be stored for subsequent analysis. The information is then exported from the data warehouse to be processed by the visualisation program and used to make statements. This process aims to demonstrate how the values derived from the generated data transition from their raw form to a visualised state. Given the current global transformation of the automotive industry, this topic was selected due to its relevance and the widespread impact of these changes. The study aims to generate various analytical statements, such as the average engine power across different car brands or the average fuel consumption per 100 kilometres for specific vehicle types.

Open Access: Yes

DOI: 10.1109/INES67149.2025.11078211

The Role of Robotics in Digital Education: A Steam-Based Approach for Curriculum Development

Zoltan Balogh Eniko Nagy Karoly Farkas Gyorgy Molnar

Publication Name: Saci IEEE International Symposium on Applied Computational Intelligence and Informatics

Publication Date: 2025-01-01

Volume: Unknown

Issue: 2025

Page Range: 605-608

Description:

The integration of robotics and artificial intelligence (AI) into education has become increasingly significant as digital technology evolves. This paper explores the historical development and current trends in digital culture education, emphasizing the need for a STEAM-based (Science, Technology, Engineering, Arts, Mathematics) approach. The study argues that the inclusion of robotics in education does not necessitate the introduction of new subjects but rather an adaptation of existing methodologies. We propose a structured framework for integrating robotics into current educational curricula, emphasizing interdisciplinary learning and problemsolving skills. The conclusions suggest that moving beyond traditional subject boundaries can foster a more holistic and effective learning environment.

Open Access: Yes

DOI: 10.1109/SACI66288.2025.11030074

Supporting the Pedagogical Assessment Process in Educational Institutions with Social Background Data Analysis and WTCAi System Integration

Beata Orosz Eniko Nagy Jozsef Cserko Karl Eva Gyorgy Molnar

Publication Name: Proceedings of the International Symposium on Applied Machine Intelligence and Informatics Sami

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 71-76

Description:

Primary educational institutions aim to prepare children for further education and successful integration into the workforce. To consistently achieve this, they must meet the demands and expectations imposed by the constantly changing economic and social environments. Research shows that applying a constructive pedagogical approach is the most successful path, best fitting the expectations above. An essential and integral part of the educational process is the pedagogical supervision and evaluation procedure, aimed to assess performance and improve and support the learning process. A sad feature of the current system is that it needs to support individual learning paths sufficiently. Additionally, communication issues arising from the generational gap between teachers and students jeopardize the validity of the assessment tools. Educational institutions' advancement and continuous development can only be realized if the pedagogical supervision and evaluation system progresses and evolves to meet new challenges. Our research aims to develop such a method. We are working on creating a complex evaluation method supported by artificial intelligence (WTCAi – When The Child Ask with AI), which suggests appropriate items for assessment and evaluation to subject teachers. To achieve our main objective, we have planned to collect additional social background data from our students. Through analyzing these data, we hope to uncover numerous correlations that significantly influence the obtained data and results, thereby steering the development of the supervision-evaluation system in the most appropriate direction.

Open Access: Yes

DOI: 10.1109/SAMI63904.2025.10883326

CMDB Reporting Introduction and Quality Improvement at a Given Hungarian Company

Eniko Nagy Fruzsina Horváth Gyorgy Molnar

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2024-01-01

Volume: 21

Issue: 9

Page Range: 109-127

Description:

Configuration Management Database, also known as CMDB, with reliable and up-to-date data is one of the essential foundations for the efficient operation of IT systems. A leading company in Hungary (name withheld for confidentiality reasons) is committed to providing world-class telecommunications infrastructure services, and to achieve this goal, it is focusing on the implementation of a project to create reporting on its Configuration Management Database, which will allow for better visibility and more efficient maintenance. The development will follow ITIL principles, with a more detailed focus on the doctrines of Service Transition and Continual Service Improvement. In this study, the process of preparing the report is followed from the initial phase to the analysis of the resulting data visualizations, concluding with some recommendations for improvement.

Open Access: Yes

DOI: 10.12700/APH.21.9.2024.9.8

Comparison of Data Visualization Platforms Through European Traffic Data

Eniko Nagy Gombos Tamas Ferenc Gyorgy Molnar

Publication Name: Iccc 2024 IEEE 11th International Conference on Computational Cybernetics and Cyber Medical Systems Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 43-48

Description:

The most important and valuable resource in the 21st century is data. The age of the internet brought us an era in which humans, within a foreseeable time, are unable to process the vast amount of data that we produce. It's important to understand the data and statistics we have because it can help a company make a well thought out decision on a given dilemma, which is based on reality and data. When choosing a data visualisation platform, the purpose of the application, the type of data and the user needs are also key factors. For the visualisation of traffic data in Europe, a number of established platforms can be considered and are referred to in this paper. This article compares data visualisation platforms currently available and used in industrial environments with open source free platforms, using European traffic data.

Open Access: Yes

DOI: 10.1109/ICCC62278.2024.10582968

Designing assessment processes using the student involvement method by WTCAi system

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics Sami 2024 Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 237-241

Description:

The quality assurance of education and training is of paramount importance, and the monitoring, assessment and evaluation process is indispensable for this purpose. A key determinant of the effectiveness of education is assessment, which serves not only to measure performance but also to support the learning process. The process of assessment and evaluation must take into account the diverse needs and abilities of students. Differentiated assessment supports individual learning paths and personal development. Assessment must be objective and valid, but it can achieve its deeper developmental purpose when personalized. Our research aims to enhance pedagogical assessment efficiency by developing a machine learning-supported assessment system. The research focuses on developing STEM skills and analyzes children's questions to understand their interests and needs better. During the research, we observe the characteristics of questions posed by children and develop a machine learning algorithm that helps provide suggestions to educators for creating assessment questions. Based on the data, we identify children's areas of interest and the difficulty level of questions. According to the research results, children's questions can significantly differ from question sets prepared by educators, suggesting that children's diverse perspectives and interests should be given even greater consideration in teaching. The research also raises further directions for development. It aims to use machine learning to understand better the diverse ways of thinking and differences in expression among children, thereby making education and assessment more effective. This can contribute significantly to the efficiency and effectiveness of the teaching-learning process.

Open Access: Yes

DOI: 10.1109/SAMI60510.2024.10432808

Supporting the Pedagogical Evaluation of Educational Institutions with the Help of the WTCAi System

Zoltan Szuts Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2024-01-01

Volume: 21

Issue: 3

Page Range: 125-142

Description:

One of the main aims of educational institutions, is to prepare children for further education and successful integration into the workforce. To achieve this, as much as possible, it is necessary to meet the requirements and expectations set by dynamically changing economic and social environments. Research has shown that learner-centered knowledge transfer and a constructive pedagogical approach have proven more effective in achieving all possible learning outcomes than cognitivist learning theory (teacher-centered education). Therefore, pedagogical monitoring and evaluation procedures are necessary and integral parts, of the educational process, with the goal not only being performance evaluation but also improving and supporting the learning process. Then again, a sad characteristic of the current system is that, on the one hand, it needs to support individual learning paths adequately and on the other hand, the validity of measuring tools suffers, due to the generation gap between teachers and children. Therefore, the development of pedagogical monitoring and evaluation processes, should be an integral part of the constant improvement of educational institutions. Consequently, the question arises: How can the pedagogical monitoring and evaluation system be developed, so that individual learning paths are supported and the validity of measurement tools is optimally ensured? In seeking the answer to this question, our research aims to develop a complex evaluation system, supported by artificial intelligence (WTCAi-When The Child Ask with AI), that suggests suitable actions for monitoring and evaluation, for subject teachers.

Open Access: Yes

DOI: 10.12700/APH.21.3.2024.3.9

Exploring the Role of Human-Robot Interactions, within the Context of the Effectiveness of a NAO Robot

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2024-01-01

Volume: 21

Issue: 3

Page Range: 177-190

Description:

The NAO robot has been widely used in various settings, from education and healthcare to entertainment and research. The effectiveness of the robot largely depends on its ability to interact with humans in a meaningful and engaging way. This paper explores the role of human-robot interaction in the effectiveness of the NAO robot. We review the literature on human-robot interaction and highlight the key factors that contribute to successful human-robot interactions. Then we discuss the specific features of the NAO robot that facilitate or hinder effective human-robot interactions. Finally, we present some recent studies that have investigated the impact of human-robot interaction on the effectiveness of the robot in different settings. Overall, our analysis suggests that effective human-robot interaction is essential for the successful implementation of the NAO robot, and that further research is needed to better understand the dynamics of human-robot interaction and its impact on the effectiveness of the robot.

Open Access: Yes

DOI: 10.12700/APH.21.3.2024.3.12

Enhancing UAV Autonomous Navigation in Indoor Environments Using Reinforcement Learning and Convolutional Neural Networks

Eniko Nagy Amirfarhad Farhadi Homayoun Safarpour Motealegh Mahalegi Gyorgy Molnar

Publication Name: Sisy 2024 IEEE 22nd International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 91-100

Description:

In recent years, the number of unmanned aerial vehicle (UAV) applications has increased. However, navigating them indoors is still tricky because no GPS signals are available, and the obstacles constantly change. This study exploits the collaboration between convolutional neural networks (CNNs) and reinforcement learning (RL) to overcome these challenges, improving the level of independence of UAVs in indoor settings. We present a new technique known as potential-based reward shaping, which directly incorporates expert knowledge into the reinforcement learning framework. This technique efficiently addresses the problem of sparse rewards that often hinder learning in conventional RL configurations. In addition, we have created a reflective reinforcement learning agent that systematically assesses its actions to prioritize those that result in the most substantial enhancements. We have extensively evaluated the performance of our method with the High-Definition Indoor Navigation (HDIN) dataset to show that our method continuously outperformed current non-introspective RL techniques in terms of decision-making speed and navigation accuracy in this evaluation. The results show that this new CNN-RL combination is feasible and suggests a scalable method for complex indoor navigation problems.

Open Access: Yes

DOI: 10.1109/SISY62279.2024.10737528

Bifurcations and Application of the Vallis - Model

Antal Joos Bálint Nagy Eniko Nagy Gyorgy Molnar

Publication Name: Iccc 2024 IEEE 11th International Conference on Computational Cybernetics and Cyber Medical Systems Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 55-60

Description:

Investigating chaotic systems is a fertile field considering that chaos is an exotic chapter in the theory of differential equations, and it has useful applications in the theory of communications. In this work a well-known chaotic system is investigated from the bifurcation point of view and some applications are also introduced. The data studied are also visualized for better clarity. The results observed can be helpful in the encryption methods of the implementation of different communication channels.

Open Access: Yes

DOI: 10.1109/ICCC62278.2024.10583106

Advanced Digital and Artificial Intelligence-Based Solutions for Interactive, Collaborative Learning Support

Gábor Pörzse Krisztina Zimányi Dávid Sik Zoltan Biczo Eniko Nagy Gyorgy Molnar

Publication Name: Cando EPE 2024 Proceedings IEEE 7th International Conference and Workshop Obuda on Electrical and Power Engineering

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 103-107

Description:

In the field of education, the effectiveness of interactive and collaborative learning support is significantly enhanced by advanced digital and artificial intelligence (AI)- based solutions. These tools are revolutionising not only teaching methods but also the learning experience. The use of AI enables a better understanding of learners' individual needs and learning styles and the design of personalised learning programmes. For example, adaptive learning systems analyse learner performance in real time and provide immediate feedback, as well as automatically adapting curricula according to students' progress. Interactive digital platforms allow students to collaborate, even from geographically distant locations. Such platforms often include video-conferencing features, collaborative workspaces and real-time collaboration tools to facilitate collaborative project work and group task solving. AI-based chatbots and virtual assistants provide ongoing support, answering learners' questions and helping them to navigate the course material. Gamification is also becoming increasingly important, integrating playful elements into the learning process to motivate and engage learners. AI has the ability to track students' progress in games and provide them with personalised challenges. Through data analytics, teachers can gain detailed insights into student progress and provide more targeted support. In this article, we explore the methodological and technological possibilities supported by modern digital interactive tools to support collaborative, adaptive learning processes. In a nutshell, we also refer to artificial intelligence-based possibilities.

Open Access: Yes

DOI: 10.1109/CANDO-EPE65072.2024.10772869

Mindset-Shaping Solutions with Innovative IT and PM technologies in Higher Education

Zoltan Balogh Mariann Váraljai Bálint Nagy Eniko Nagy Gyorgy Molnar

Publication Name: Saci 2024 18th IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 405-409

Description:

Every society has its own characteristics, shaped from time to time by the various innovative, disruptive, but in any case, dynamically changing mechanisms that affect it most. In today's society, technological innovation plays a major role in the development of individuals and their abilities. Education is the most typical and obvious arena for shaping, developing, and preparing for the challenges of the future. As in the leading sectors, in the world of education, rapid responses and immediate reactions to change significantly increase the ability to achieve and maintain success and thus marketability. As a sector responsible for developing the competences of individuals, building knowledge and training professionals, education should seek to keep pace with trends and break with traditional approaches and methods, so that, in addition to incorporating technological developments, a renewed approach to organizational development and methodology is an important means of achieving the desired success and effectiveness. In the course of our work, we provide a summary insight into the project work of student groups who require up-to-date IT skills, use advanced IT tools, plan, and implement their web development workflows supported by database management, front-end planning and design, and back-end programming with a project management approach according to the latest trends, interpreting the advantages and disadvantages of working methods for success.

Open Access: Yes

DOI: 10.1109/SACI60582.2024.10619845

Adaptive ICT-based evaluation system in teaching and learning process

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: Ines 2023 27th IEEE International Conference on Intelligent Engineering Systems 2023 Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 89-94

Description:

Evaluation is an essential part of education. In addition to helping track student progress and learning processes, evaluations play a significant critical and important role in developing the individual's personality and forming a realistic self-image. Therefore, evaluations must be accurate, reliable, encompassing of changes, and supportive of developmental paths. Assessments can take various forms and can be carried out in-person, verbally, in writing, or through practical tasks, but they can also be conducted online, in a digital format, within a suitable framework. Regardless of these, one common element, the assessing educator is the adult who plans, integrates, and conducts the periodic control and evaluation process. Thus, there is also a generational difference inherently present and this affects the entire teaching and learning process, thereby influencing the evaluation process significantly, and reducing its efficiency. In this study, we present a self-developed system that increases the efficiency of the control and evaluation process by assisting the educator's work and reducing the communication gap due to generational differences. In addition to describing the applied technologies during the system's demonstration, we also discuss the methods and operating processes, which we conclude by evaluating the test results.

Open Access: Yes

DOI: 10.1109/INES59282.2023.10297735

Methods for Verifying the Security of Available IoT Devices

Zoltan Balogh Sebestyen Gergely Jan Francisti Eniko Nagy Kopjak Jozsef Gyorgy Molnar

Publication Name: Sisy 2023 IEEE 21st International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 595-600

Description:

In present, the field of Internet of Things (IoT) is experiencing significant development, as evidenced by the everincreasing number of connected devices equipped with various sensors and controllers. These devices have become an integral part of smart homes, offering numerous benefits. Paradoxically, their growing popularity also brings an increased risk of vulnerabilities that threaten the security and privacy of users. This paper focuses on analysing common IoT devices used in smart homes to identify weaknesses and propose measures for improving their protection. This will involve evaluating security tests and providing recommendations for securing the devices and safeguarding their users. The proposed solutions and recommendations will assist users in better understanding potential threats and protecting their devices from unauthorized access and the leakage of sensitive information. This research approach contributes to enhancing the security and privacy of IoT device users in smart homes.

Open Access: Yes

DOI: 10.1109/SISY60376.2023.10417920

Creating Own AI Datasets from Different Language Sources Efficiently: Advantages, Disadvantages and Best Pracitces to Make Own Datasets

Zoltan Balogh Eniko Nagy Jozsef Cserko Gyorgy Molnar

Publication Name: Cando EPE 2023 Proceedings IEEE 6th International Conference and Workshop Obuda on Electrical and Power Engineering

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 155-158

Description:

Artificial Intelligence (AI) has become a ubiquitous technology that has the potential to revolutionize many industries. However, AI requires access to vast amounts of data to achieve its full potential. By understanding these data sources and the best practices for working with them, we can unlock the full potential of AI and create groundbreaking solutions that benefit society as a whole. Data sources can be utilized to train AI algorithms, including structured and unstructured data, but finding relevant datasets is challenging. The main problem is the international sources. Most of the datasets are available only in English or other common languages. However these are good sources, but translating them is expensive and time-consuming. This paper shows how to generate own datasets from open-source data with translation.

Open Access: Yes

DOI: 10.1109/CANDO-EPE60507.2023.10417973