Karl Eva

58888574700

Publications - 8

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 Current examination systems in educational institutions are outdated and do not meet modern societal and technological requirements.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

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

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

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

Evaluation and technological solutions for a dynamic, unified cloud programming development environment : Ease of use and applicable system for uniformized practices and assessments

Jozsef Cserko Karl Eva Gyorgy Molnar

Publication Name: 2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics Sami 2023 Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 237-240

Description:

The dynamic development and change of the world also result in the modernization of teacher-student relationships. In the training, educational processes must be planned with innovative strategies that meet the increasingly changing needs of students, which today go beyond the traditional classroom and methodological frameworks. In this article, we present a technological solution to support the renewal efforts in the education world that, on the one hand, takes advantage of the benefits of cloud-based services, and on the other hand, ensures that students can acquire the material of a given course in a unified, stable environment. The isolated environment offered by the virtual space guarantees private work sessions, and multi-project activities can also be handled more easily and uniformly. The analysis of the teaching program presented below provides insight into the practical and appropriate solutions offered by the containerization process. In addition to these, the topic will also cover the widely used and popular Docker application that supports the implementation of the process, as well as the NodeJS environment closely related to the project.

Open Access: Yes

DOI: 10.1109/SAMI58000.2023.10044519