Jozsef Cserko

57746677000

Publications - 6

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

The Transformation of Digital Culture and Learning Habits in Higher Education, Digital Methods and Tools

Mónika Rajcsányi-Molnár Attila Pongracz István András Jozsef Cserko Anikó Benyák 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: 109-113

Description:

The rise of digital culture has fundamentally changed the way people learn in higher education. Online platforms, digital learning materials and various e-Iearning tools have become commonplace, significantly changing traditional learning methods. Access to information for students has never been easier: online courses, interactive videos and webinars allow flexible and personalised learning. At the same time, learners are moving from being passive recipients to active participants, as the use of interactive content and collaborative learning tools becomes more widespread. Digital methods offer new ways of acquiring and processing knowledge. Tools such as virtual reality (VR), artificial intelligence (AI)-based tutors and gamification-enhanced learning systems increase motivation and allow for a more personalised approach to learning materials. Higher education institutions are also increasingly open to innovation, with the introduction of online learning platforms and hybrid teaching models gaining ground. Through this transformation, higher education is no longer limited to classroom learning but is becoming a global process in the digital space. Our article explores these issues using our concrete tacit knowledge and experiences from higher education courses.

Open Access: Yes

DOI: 10.1109/CANDO-EPE65072.2024.10772883

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

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

AI Based Plagiarism Checking : Ease of use and appli7cable system for teachers to find similarities in students' assessments

Jozsef Cserko Gyorgy Molnar

Publication Name: Cando EPE 2022 Proceedings IEEE 5th International Conference and Workshop in Obuda on Electrical and Power Engineering

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 187-192

Description:

One of education's most challenging tasks is accurately assessing student performance. Unfortunately, even nowadays, assessment is mainly done manually, with teachers manually correcting submitted work, essays, and dissertations. There is plagiarism checking services and algorithms, but these search for matches in theses and publications on the Internet, so they need to be more suitable for facilitating teachers' daily work. In this paper, we present a self-developed plagiarism screening application that can find duplicates in students' submitted work. The tool performs simple text comparison and syntactic and semantic checking. We also created an easy-to-use online interface where users can easily create and run projects.

Open Access: Yes

DOI: 10.1109/CANDO-EPE57516.2022.10046379

Possibilities and Challenges of Monitoring and Evaluating Digital Education in Electronic Environments from a Pedagogical and Technological Perspective

Zoltan Balogh Jan Francisti Beata Orosz Kristian Fodor Jozsef Cserko Brigitta Balazs Gyorgy Molnar

Publication Name: Sami 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 69-72

Description:

PREFACE The use of various digital and smart devices and systems has also become more and more part of people's daily lives, with the emergence of the human-machine interface as a tool to help them work in various activities. Digitalisation is one of the most significant trends and tendencies of our time, and can be seen as the next step in globalisation [1]. Media literacy is an umbrella term, similar to ICT [2] and new media phenomena have become increasingly visible. Digital technology-enhanced literacy, mediated by ICT systems, is thus playing an increasingly important role, with a growing impact on society, the economy and education, and its transformative effects. The essence of these phenomena is that the new cultural form is created and exists on a digital platform [3].Mobile technology, ambient intelligence, digital games, big data-based technologies and algorithms are an integral part of this world [4]. The study and systematisation of the digital transformative effects of all these phenomena is becoming increasingly vital and has a growing impact on the learning process. On the one hand, the process of digitalisation serves as an internal driving force for digital work-based educational processes, and on the other hand, it represents a major challenge for the different actors in educational systems and for learners.

Open Access: Yes

DOI: 10.1109/SAMI54271.2022.9780733